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Themis Palpanas
Person information
- affiliation: Paris Descartes University, France
- affiliation (former): University of California, Riverside, USA
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2020 – today
- 2024
- [j97]Ying Li, Xiaodong Lee, Botao Peng, Themis Palpanas, Jing'an Xue:
Streaming Data Collection With a Private Sketch-Based Protocol. IEEE Internet Things J. 11(15): 25950-25967 (2024) - [j96]Luca Gagliardelli
, George Papadakis
, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution. Inf. Syst. 120: 102307 (2024) - [j95]Jiuqi Wei, Botao Peng, Xiaodong Lee, Themis Palpanas:
DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search. Proc. VLDB Endow. 17(9): 2241-2254 (2024) - [c113]George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas:
A Critical Re-evaluation of Record Linkage Benchmarks for Learning-Based Matching Algorithms. ICDE 2024: 3435-3448 - [c112]Paul Boniol, John Paparrizos, Themis Palpanas:
An Interactive Dive into Time-Series Anomaly Detection. ICDE 2024: 5382-5386 - [c111]Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
ADecimo: Model Selection for Time Series Anomaly Detection. ICDE 2024: 5441-5444 - [c110]Themis Palpanas:
Scalable Vector Analytics: A Story of Twists and Turns. SEBD 2024: 4-5 - [e7]Themis Palpanas, H. V. Jagadish:
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, Paestum, Italy, March 25, 2024. CEUR Workshop Proceedings 3651, CEUR-WS.org 2024 [contents] - [i40]Adrien Petralia, Philippe Charpentier, Themis Palpanas:
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series. CoRR abs/2401.05381 (2024) - [i39]Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko:
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR abs/2402.10198 (2024) - [i38]Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko:
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. CoRR abs/2406.10327 (2024) - [i37]Jiuqi Wei, Botao Peng, Xiaodong Lee, Themis Palpanas:
DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search. CoRR abs/2406.10938 (2024) - 2023
- [j94]Themis Palpanas:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(3): 2 (2023) - [j93]Zeyu Wang, Peng Wang, Themis Palpanas, Wei Wang:
Graph- and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions. IEEE Data Eng. Bull. 46(3): 3-21 (2023) - [j92]Zeyu Wang
, Qitong Wang
, Peng Wang
, Themis Palpanas
, Wei Wang
:
Dumpy: A Compact and Adaptive Index for Large Data Series Collections. Proc. ACM Manag. Data 1(1): 111:1-111:27 (2023) - [j91]Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, Botao Peng:
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search. Proc. VLDB Endow. 16(5): 1140-1153 (2023) - [j90]Ilias Azizi, Karima Echihabi, Themis Palpanas:
Elpis: Graph-Based Similarity Search for Scalable Data Science. Proc. VLDB Endow. 16(6): 1548-1559 (2023) - [j89]Emmanouil Sylligardos
, Paul Boniol, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. Proc. VLDB Endow. 16(11): 3418-3432 (2023) - [j88]Adrien Petralia, Philippe Charpentier, Themis Palpanas:
ADF \u0026 TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series. Proc. VLDB Endow. 17(3): 553-562 (2023) - [j87]Georgios Chatzigeorgakidis
, Dimitrios Skoutas
, Kostas Patroumpas
, Themis Palpanas
, Spiros Athanasiou
, Spiros Skiadopoulos
:
Efficient Range and kNN Twin Subsequence Search in Time Series. IEEE Trans. Knowl. Data Eng. 35(6): 5794-5807 (2023) - [j86]Qitong Wang
, Themis Palpanas
:
SEAnet: A Deep Learning Architecture for Data Series Similarity Search. IEEE Trans. Knowl. Data Eng. 35(12): 12972-12986 (2023) - [j85]Paul Boniol
, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 32(2): 469 (2023) - [j84]Karima Echihabi
, Theophanis Tsandilas, Anna Gogolou, Anastasia Bezerianos, Themis Palpanas:
ProS: data series progressive k-NN similarity search and classification with probabilistic quality guarantees. VLDB J. 32(4): 763-789 (2023) - [c109]Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas:
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. ARTMAN@CCS 2023: 17-28 - [c108]Ying Li, Xiaodong Lee, Botao Peng, Themis Palpanas, Jing'an Xue:
PrivSketch: A Private Sketch-Based Frequency Estimation Protocol for Data Streams. DEXA (1) 2023: 147-163 - [c107]Paul Boniol, John Paparrizos, Themis Palpanas:
New Trends in Time Series Anomaly Detection. EDBT 2023: 847-850 - [c106]Adrien Petralia
, Philippe Charpentier
, Paul Boniol
, Themis Palpanas
:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. e-Energy 2023: 214-225 - [c105]Zhuxian Guo, Qitong Wang, Henning Müller
, Themis Palpanas, Nicolas Loménie, Camille Kurtz:
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma. ISBI 2023: 1-5 - [c104]Hanbo Zhang
, Jiangxin Li
, Shen Liang
, Peng Wang
, Themis Palpanas
, Chen Wang
, Wei Wang
, Haoxuan Zhou
, Jianwei Song
, Wen Lu
:
Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications. KDD 2023: 5532-5543 - [c103]Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
A general approach to Supervised Meta-Blocking. SEBD 2023: 141-150 - [c102]Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, George Paterakis:
FreSh: A Lock-Free Data Series Index. SRDS 2023: 209-220 - [e6]Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 [contents] - [i36]Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, Botao Peng:
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search. CoRR abs/2301.11049 (2023) - [i35]Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang:
Dumpy: A Compact and Adaptive Index for Large Data Series Collections. CoRR abs/2304.08264 (2023) - [i34]Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. CoRR abs/2305.10352 (2023) - [i33]Ying Li, Xiaodong Lee, Botao Peng, Themis Palpanas, Jing'an Xue:
PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams. CoRR abs/2306.12144 (2023) - [i32]George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas:
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms. CoRR abs/2307.01231 (2023) - [i31]Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz:
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma. CoRR abs/2307.05800 (2023) - [i30]Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, George Paterakis:
FreSh: A Lock-Free Data Series Index. CoRR abs/2310.11602 (2023) - [i29]Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas:
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. CoRR abs/2311.09790 (2023) - 2022
- [j83]John Paparrizos
, Yuhao Kang
, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin:
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. Proc. VLDB Endow. 15(8): 1697-1711 (2022) - [j82]Luca Gagliardelli, George Papadakis
, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
Generalized Supervised Meta-blocking. Proc. VLDB Endow. 15(9): 1902-1910 (2022) - [j81]Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Hercules Against Data Series Similarity Search. Proc. VLDB Endow. 15(10): 2005-2018 (2022) - [j80]John Paparrizos
, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore
, Michael J. Franklin:
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. Proc. VLDB Endow. 15(11): 2774-2787 (2022) - [j79]Wissam Mammar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor:
SA-Q: Observing, Evaluating, and Enhancing the Quality of the Results of Sentiment Analysis Tools. Proc. VLDB Endow. 15(12): 3658-3661 (2022) - [j78]Paul Boniol, John Paparrizos
, Yuhao Kang
, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore
, Michael J. Franklin:
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. Proc. VLDB Endow. 15(12): 3702-3705 (2022) - [j77]Qitong Wang, Stephen Whitmarsh, Vincent Navarro, Themis Palpanas:
iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges. Proc. VLDB Endow. 16(3): 480-490 (2022) - [c101]Karima Echihabi, Themis Palpanas:
Scalable Analytics on Large Sequence Collections. MDM 2022: 5-8 - [c100]Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas:
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. SIGMOD Conference 2022: 1175-1189 - [e5]Maya Ramanath, Themis Palpanas:
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, Edinburgh, UK, March 29, 2022. CEUR Workshop Proceedings 3135, CEUR-WS.org 2022 [contents] - [i28]Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
Generalized Supervised Meta-blocking (technical report). CoRR abs/2204.08801 (2022) - [i27]Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas:
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. CoRR abs/2207.12165 (2022) - [i26]Paul Boniol, Themis Palpanas:
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. CoRR abs/2207.12208 (2022) - [i25]Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Hercules Against Data Series Similarity Search. CoRR abs/2212.13297 (2022) - [i24]Karima Echihabi, Theophanis Tsandilas, Anna Gogolou, Anastasia Bezerianos, Themis Palpanas:
ProS: Data Series Progressive k-NN Similarity Search and Classification with Probabilistic Quality Guarantees. CoRR abs/2212.13310 (2022) - 2021
- [b3]George Papadakis
, Ekaterini Ioannou, Emanouil Thanos, Themis Palpanas:
The Four Generations of Entity Resolution. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00750-7, pp. 1-170 - [j76]George Papadakis
, Dimitrios Skoutas
, Emmanouil Thanos, Themis Palpanas:
Blocking and Filtering Techniques for Entity Resolution: A Survey. ACM Comput. Surv. 53(2): 31:1-31:42 (2021) - [j75]Vassilis Christophides, Vasilis Efthymiou
, Themis Palpanas, George Papadakis
, Kostas Stefanidis
:
An Overview of End-to-End Entity Resolution for Big Data. ACM Comput. Surv. 53(6): 127:1-127:42 (2021) - [j74]Georgios M. Mandilaras, George Papadakis
, Luca Gagliardelli, Giovanni Simonini, Emmanouil Thanos
, George Giannakopoulos
, Sonia Bergamaschi, Themis Palpanas, Manolis Koubarakis
, Alicia Lara-Clares, Antonio Fariña
:
Reproducible experiments on Three-Dimensional Entity Resolution with JedAI. Inf. Syst. 102: 101830 (2021) - [j73]Loris Belcastro
, Fabrizio Marozzo
, Domenico Talia, Paolo Trunfio
, Francesco Branda
, Themis Palpanas, Muhammad Imran:
Using social media for sub-event detection during disasters. J. Big Data 8(1): 79 (2021) - [j72]Oleksandra Levchenko
, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez:
BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowl. Inf. Syst. 63(2): 349-378 (2021) - [j71]Paul Boniol, John Paparrizos
, Themis Palpanas, Michael J. Franklin:
SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. 14(10): 1717-1729 (2021) - [j70]Paul Boniol, John Paparrizos
, Themis Palpanas, Michael J. Franklin:
SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. 14(12): 2867-2870 (2021) - [j69]Karima Echihabi
, Themis Palpanas, Kostas Zoumpatianos:
New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed. Proc. VLDB Endow. 14(12): 3198-3201 (2021) - [j68]Botao Peng
, Panagiota Fatourou
, Themis Palpanas
:
ParIS+: Data Series Indexing on Multi-Core Architectures. IEEE Trans. Knowl. Data Eng. 33(5): 2151-2164 (2021) - [j67]Paul Boniol
, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 30(6): 909-931 (2021) - [j66]Botao Peng
, Panagiota Fatourou, Themis Palpanas:
Fast data series indexing for in-memory data. VLDB J. 30(6): 1041-1067 (2021) - [c99]Luka Jakovljevic, Dimitre Kostadinov, Armen Aghasaryan, Themis Palpanas:
Towards Building a Digital Twin of Complex System Using Causal Modelling. COMPLEX NETWORKS 2021: 475-486 - [c98]Georgios Chatzigeorgakidis, Dimitrios Skoutas
, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos
:
Twin Subsequence Search in Time Series. EDBT 2021: 475-480 - [c97]Karima Echihabi
, Kostas Zoumpatianos, Themis Palpanas:
Big Sequence Management: Scaling up and Out. EDBT 2021: 714-717 - [c96]Pauline Laviron, Xueqi Dai, Bérénice Huquet, Themis Palpanas:
Electricity Demand Activation Extraction: From Known to Unknown Signatures, Using Similarity Search. e-Energy 2021: 148-159 - [c95]Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor:
SentiQ: Une approche logique-probabiliste pour améliorer la qualité de l'analyse des sentiments. EGC 2021: 513-514 - [c94]Botao Peng, Panagiota Fatourou, Themis Palpanas:
SING: Sequence Indexing Using GPUs. ICDE 2021: 1883-1888 - [c93]Karima Echihabi
, Kostas Zoumpatianos, Themis Palpanas:
High-Dimensional Similarity Search for Scalable Data Science. ICDE 2021: 2369-2372 - [c92]Qitong Wang
, Themis Palpanas:
Deep Learning Embeddings for Data Series Similarity Search. KDD 2021: 1708-1716 - [i23]Georgios Chatzigeorgakidis
, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Twin Subsequence Search in Time Series. CoRR abs/2104.06874 (2021) - [i22]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Pair and Bundle Discovery over Co-Evolving Time Series. CoRR abs/2104.09417 (2021) - [i21]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Similarity Search on Geolocated Time Series Using Hybrid Indexing. CoRR abs/2104.09509 (2021) - [i20]Botao Peng, Panagiota Fatourou, Themis Palpanas:
Fast Data Series Indexing for In-Memory Data. CoRR abs/2110.07519 (2021) - 2020
- [j65]Michele Linardi
, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix profile goes MAD: variable-length motif and discord discovery in data series. Data Min. Knowl. Discov. 34(4): 1022-1071 (2020) - [j64]Remy Kusters
, Dusan Misevic, Hugues Berry
, Antoine Cully
, Yann Le Cunff
, Loic Dandoy, Natalia Díaz Rodríguez
, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski
, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie
, Fatima Wehbi:
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3: 577974 (2020) - [j63]George Papadakis
, Georgios M. Mandilaras, Luca Gagliardelli, Giovanni Simonini, Emmanouil Thanos
, George Giannakopoulos, Sonia Bergamaschi, Themis Palpanas, Manolis Koubarakis:
Three-dimensional Entity Resolution with JedAI. Inf. Syst. 93: 101565 (2020) - [j62]Paul Boniol, Themis Palpanas:
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. Proc. VLDB Endow. 13(11): 1821-1834 (2020) - [j61]Paul Boniol, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
GraphAn: Graph-based Subsequence Anomaly Detection. Proc. VLDB Endow. 13(12): 2941-2944 (2020) - [j60]Wissam Maamar Kouadri
, Mourad Ouziri, Salima Benbernou, Karima Echihabi
, Themis Palpanas, Iheb Ben Amor:
Quality of Sentiment Analysis Tools: The Reasons of Inconsistency. Proc. VLDB Endow. 14(4): 668-681 (2020) - [j59]Djamel Edine Yagoubi, Reza Akbarinia
, Florent Masseglia, Themis Palpanas
:
Massively Distributed Time Series Indexing and Querying. IEEE Trans. Knowl. Data Eng. 32(1): 108-120 (2020) - [j58]Michele Linardi
, Themis Palpanas:
Scalable data series subsequence matching with ULISSE. VLDB J. 29(6): 1449-1474 (2020) - [c91]George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, Nikiforos Pittaras, Giovanni Simonini, Dimitrios Skoutas
, Paul Isaris
, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis:
JedAI3 : beyond batch, blocking-based Entity Resolution. EDBT 2020: 603-606 - [c90]George Papadakis, Ekaterini Ioannou, Themis Palpanas:
Entity Resolution: Past, Present and Yet-to-Come. EDBT 2020: 647-650 - [c89]Botao Peng, Panagiota Fatourou, Themis Palpanas:
MESSI: In-Memory Data Series Indexing. ICDE 2020: 337-348 - [c88]Paul Boniol, Michele Linardi
, Federico Roncallo, Themis Palpanas:
SAD: An Unsupervised System for Subsequence Anomaly Detection. ICDE 2020: 1778-1781 - [c87]Paul Boniol, Michele Linardi
, Federico Roncallo, Themis Palpanas:
Automated Anomaly Detection in Large Sequences. ICDE 2020: 1834-1837 - [c86]Anna Gogolou, Theophanis Tsandilas, Karima Echihabi
, Anastasia Bezerianos
, Themis Palpanas:
Data Series Progressive Similarity Search with Probabilistic Quality Guarantees. SIGMOD Conference 2020: 1857-1873 - [c85]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas:
Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings. WIMS 2020: 1-6 - [c84]Matteo Lissandrini
, Davide Mottin
, Themis Palpanas, Yannis Velegrakis
:
Graph-Query Suggestions for Knowledge Graph Exploration. WWW 2020: 2549-2555 - [i19]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art. CoRR abs/2006.11454 (2020) - [i18]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search. CoRR abs/2006.11459 (2020) - [i17]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: sortable summarizations for scalable indexes over static and streaming data series. CoRR abs/2006.11474 (2020) - [i16]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm. CoRR abs/2006.13079 (2020) - [i15]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: a scalable bottom-up approach for building data series indexes. CoRR abs/2006.13713 (2020) - [i14]Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor:
SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality. CoRR abs/2008.08919 (2020) - [i13]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. CoRR abs/2008.13432 (2020) - [i12]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series. CoRR abs/2008.13447 (2020) - [i11]Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS+: Data Series Indexing on Multi-Core Architectures. CoRR abs/2009.00166 (2020) - [i10]Botao Peng, Panagiota Fatourou, Themis Palpanas:
MESSI: In-Memory Data Series Indexing. CoRR abs/2009.00786 (2020) - [i9]Michele Linardi, Themis Palpanas:
Scalable Data Series Subsequence Matching with ULISSE. CoRR abs/2009.10373 (2020)
2010 – 2019
- 2019
- [j57]Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Improving Classification Quality in Uncertain Graphs. ACM J. Data Inf. Qual. 11(1): 3:1-3:20 (2019) - [j56]Karima Echihabi
, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search. Proc. VLDB Endow. 13(3): 403-420 (2019) - [j55]Themis Palpanas, Volker Beckmann:
Report on the First and Second Interdisciplinary Time Series Analysis Workshop (ITISA). SIGMOD Rec. 48(3): 36-40 (2019) - [j54]George Papadakis
, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis:
Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI. SIGMOD Rec. 48(4): 30-36 (2019) - [j53]Giovanni Simonini
, George Papadakis
, Themis Palpanas
, Sonia Bergamaschi
:
Schema-Agnostic Progressive Entity Resolution. IEEE Trans. Knowl. Data Eng. 31(6): 1208-1221 (2019) - [j52]Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos
:
Comparing Similarity Perception in Time Series Visualizations. IEEE Trans. Vis. Comput. Graph. 25(1): 523-533 (2019) - [j51]Haridimos Kondylakis
, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: sortable summarizations for scalable indexes over static and streaming data series. VLDB J. 28(6): 847-869 (2019) - [c83]Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos:
Progressive Similarity Search on Time Series Data. EDBT/ICDT Workshops 2019 - [c82]Georgios Chatzigeorgakidis
, Dimitrios Skoutas
, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos
:
Local Similarity Search on Geolocated Time Series Using Hybrid Indexing. SIGSPATIAL/GIS 2019: 179-188 - [c81]Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia:
Distributed Algorithms to Find Similar Time Series. ECML/PKDD (3) 2019: 781-785 - [c80]Matteo Lissandrini
, Davide Mottin
, Themis Palpanas, Yannis Velegrakis
:
Example-based Search: a New Frontier for Exploratory Search. SIGIR 2019: 1411-1412 - [c79]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm. SIGMOD Conference 2019: 1941-1944 - [c78]Davide Mottin
, Matteo Lissandrini
, Yannis Velegrakis
, Themis Palpanas:
Exploring the Data Wilderness through Examples. SIGMOD Conference 2019: 2031-2035 - [c77]Georgios Chatzigeorgakidis, Dimitrios Skoutas
, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos
:
Local Pair and Bundle Discovery over Co-Evolving Time Series. SSTD 2019: 160-169 - [i8]George Papadakis, Dimitrios Skoutas, Emmanouil Thanos, Themis Palpanas:
A Survey of Blocking and Filtering Techniques for Entity Resolution. CoRR abs/1905.06167 (2019) - [i7]Giovanni Simonini, George Papadakis, Themis Palpanas, Sonia Bergamaschi:
Schema-agnostic Progressive Entity Resolution (extended version). CoRR abs/1905.06385 (2019) - [i6]Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis, Kostas Stefanidis:
End-to-End Entity Resolution for Big Data: A Survey. CoRR abs/1905.06397 (2019) - [i5]Anthony J. Bagnall, Richard L. Cole, Themis Palpanas, Konstantinos Zoumpatianos:
Data Series Management (Dagstuhl Seminar 19282). Dagstuhl Reports 9(7): 24-39 (2019) - 2018
- [b2]Matteo Lissandrini, Davide Mottin
, Themis Palpanas, Yannis Velegrakis:
Data Exploration Using Example-Based Methods. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00738-5 - [j50]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes. Proc. VLDB Endow. 11(6): 677-690 (2018) - [j49]George Papadakis
, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos
, Themis Palpanas, Manolis Koubarakis:
The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data. Proc. VLDB Endow. 11(12): 1950-1953 (2018) - [j48]Matteo Lissandrini
, Davide Mottin
, Themis Palpanas, Yannis Velegrakis
:
X2Q: Your Personal Example-based Graph Explorer. Proc. VLDB Endow. 11(12): 2026-2029 (2018) - [j47]Michele Linardi
, Themis Palpanas:
Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach. Proc. VLDB Endow. 11(13): 2236-2248 (2018) - [j46]Karima Echihabi
, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art. Proc. VLDB Endow. 12(2): 112-127 (2018) - [j45]Kostas Zoumpatianos
, Yin Lou, Ioana Ileana, Themis Palpanas, Johannes Gehrke:
Generating data series query workloads. VLDB J. 27(6): 823-846 (2018) - [c76]Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS: The Next Destination for Fast Data Series Indexing and Query Answering. IEEE BigData 2018: 791-800 - [c75]Alberto Cordioli, Themis Palpanas:
An Automated System for Internet Pharmacy Verification. EDBT 2018: 588-599 - [c74]Giovanni Simonini
, George Papadakis, Themis Palpanas, Sonia Bergamaschi:
Schema-Agnostic Progressive Entity Resolution. ICDE 2018: 53-64 - [c73]Matteo Lissandrini
, Davide Mottin
, Themis Palpanas, Yannis Velegrakis
:
Multi-Example Search in Rich Information Graphs. ICDE 2018: 809-820 - [c72]Michele Linardi
, Themis Palpanas:
ULISSE: ULtra Compact Index for Variable-Length Similarity Search in Data Series. ICDE 2018: 1356-1359 - [c71]Kostas Zoumpatianos, Themis Palpanas:
Data Series Management: Fulfilling the Need for Big Sequence Analytics. ICDE 2018: 1677-1678 - [c70]Michele Linardi
, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series. SIGMOD Conference 2018: 1053-1066 - [c69]Michele Linardi
, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. SIGMOD Conference 2018: 1757-1760 - [r2]Sihem Amer-Yahia, Themis Palpanas, Mikalai Tsytsarau, Sofia Kleisarchaki, Ahlame Douzal, Vassilis Christophides:
Temporal Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r1]Themis Palpanas, Panayiotis Tsaparas:
Rank-Join Indices. Encyclopedia of Database Systems (2nd ed.) 2018 - [i4]Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete
, Themis Palpanas, Yunhai Wang, Florin Rusu:
Progressive Data Science: Potential and Challenges. CoRR abs/1812.08032 (2018) - 2017
- [j44]Katsiaryna Mirylenka
, George Giannakopoulos
, Le Minh Do, Themis Palpanas:
On classifier behavior in the presence of mislabeling noise. Data Min. Knowl. Discov. 31(3): 661-701 (2017) - [j43]Vasilis Efthymiou
, George Papadakis
, George Papastefanatos
, Kostas Stefanidis
, Themis Palpanas:
Parallel meta-blocking for scaling entity resolution over big heterogeneous data. Inf. Syst. 65: 137-157 (2017) - [j42]Davide Mottin
, Matteo Lissandrini
, Yannis Velegrakis
, Themis Palpanas:
New Trends on Exploratory Methods for Data Analytics. Proc. VLDB Endow. 10(12): 1977-1980 (2017) - [c68]Katsiaryna Mirylenka
, Michele Dallachiesa, Themis Palpanas:
Correlation-Aware Distance Measures for Data Series. EDBT 2017: 502-505 - [c67]George Papadakis
, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos
, Themis Palpanas, Manolis Koubarakis:
JedAI: The Force Behind Entity Resolution. ESWC (Satellite Events) 2017: 161-166 - [c66]George Papadakis, Konstantina Bereta
, Themis Palpanas, Manolis Koubarakis:
Multi-core Meta-blocking for Big Linked Data. SEMANTiCS 2017: 33-40 - [c65]Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas:
DPiSAX: Massively Distributed Partitioned iSAX. ICDM 2017: 1135-1140 - [c64]Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas:
TweeLoc: A System for Geolocalizing Tweets at Fine-Grain. ICDM Workshops 2017: 1178-1183 - [c63]Themis Palpanas:
The Parallel and Distributed Future of Data Series Mining. HPCS 2017: 916-920 - [c62]Katsiaryna Mirylenka
, Michele Dallachiesa, Themis Palpanas:
Data Series Similarity Using Correlation-Aware Measures. SSDBM 2017: 11:1-11:12 - [c61]Pavlos Paraskevopoulos, Themis Palpanas:
What do Geotagged Tweets Reveal About Mobility Behavior? MATES@VLDB 2017: 36-53 - 2016
- [j41]George Papadakis
, George Papastefanatos
, Themis Palpanas, Manolis Koubarakis:
Boosting the Efficiency of Large-Scale Entity Resolution with Enhanced Meta-Blocking. Big Data Res. 6: 43-63 (2016) - [j40]Manish Agarwal, Themis Palpanas:
Linguistic rough sets. Int. J. Mach. Learn. Cybern. 7(6): 953-966 (2016) - [j39]George Papadakis
, Jonathan Svirsky, Avigdor Gal, Themis Palpanas:
Comparative Analysis of Approximate Blocking Techniques for Entity Resolution. Proc. VLDB Endow. 9(9): 684-695 (2016) - [j38]Pavlos Paraskevopoulos, Themis Palpanas:
Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets. Soc. Netw. Anal. Min. 6(1): 89:1-89:16 (2016) - [j37]Mikalai Tsytsarau, Themis Palpanas:
Managing Diverse Sentiments at Large Scale. IEEE Trans. Knowl. Data Eng. 28(11): 3028-3040 (2016) - [j36]Davide Mottin
, Alice Marascu, Senjuti Basu Roy, Gautam Das
, Themis Palpanas, Yannis Velegrakis
:
A holistic and principled approach for the empty-answer problem. VLDB J. 25(4): 597-622 (2016) - [j35]Davide Mottin
, Matteo Lissandrini
, Yannis Velegrakis
, Themis Palpanas:
Exemplar queries: a new way of searching. VLDB J. 25(6): 741-765 (2016) - [j34]Kostas Zoumpatianos
, Stratos Idreos, Themis Palpanas:
ADS: the adaptive data series index. VLDB J. 25(6): 843-866 (2016) - [c60]George Papadakis, George Papastefanatos
, Themis Palpanas, Manolis Koubarakis:
Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking. EDBT 2016: 221-232 - [c59]Katsiaryna Mirylenka
, Vassilis Christophides, Themis Palpanas, Ioannis Pefkianakis, Martin May:
Characterizing Home Device Usage From Wireless Traffic Time Series. EDBT 2016: 539-550 - [c58]Themis Palpanas:
Data series management: The next challenge. ICDE Workshops 2016: 196-199 - [c57]George Papadakis
, Themis Palpanas:
Blocking for large-scale Entity Resolution: Challenges, algorithms, and practical examples. ICDE 2016: 1436-1439 - [c56]Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas:
When a Tweet Finds its Place: Fine-Grained Tweet Geolocalisation. SoGood@ECML-PKDD 2016 - [c55]Themis Palpanas:
Big Sequence Management: A glimpse of the Past, the Present, and the Future. SOFSEM 2016: 63-80 - [e4]Themis Palpanas, Kostas Stefanidis:
Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, Bordeaux, France, March 15, 2016. CEUR Workshop Proceedings 1558, CEUR-WS.org 2016 [contents] - [i3]Zhaoyang Shao, Davood Rafiei, Themis Palpanas:
Error-tolerant Exemplar Queries on RDF Graphs. CoRR abs/1609.03095 (2016) - 2015
- [j33]Michele Dallachiesa, Gabriela Jacques-Silva, Bugra Gedik, Kun-Lung Wu, Themis Palpanas:
Sliding windows over uncertain data streams. Knowl. Inf. Syst. 45(1): 159-190 (2015) - [j32]Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas:
RINSE: Interactive Data Series Exploration with ADS+. Proc. VLDB Endow. 8(12): 1912-1915 (2015) - [j31]Vassilis Christophides, Themis Palpanas:
Report on the First International Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014). SIGMOD Rec. 44(1): 52-55 (2015) - [j30]Themis Palpanas:
Data Series Management: The Road to Big Sequence Analytics. SIGMOD Rec. 44(2): 47-52 (2015) - [j29]Usman Raza, Alessandro Camerra, Amy L. Murphy, Themis Palpanas, Gian Pietro Picco:
Practical Data Prediction for Real-World Wireless Sensor Networks. IEEE Trans. Knowl. Data Eng. 27(8): 2231-2244 (2015) - [j28]Katsiaryna Mirylenka
, Graham Cormode
, Themis Palpanas, Divesh Srivastava:
Conditional heavy hitters: detecting interesting correlations in data streams. VLDB J. 24(3): 395-414 (2015) - [c54]Pavlos Paraskevopoulos, Themis Palpanas:
Fine-Grained Geolocalisation of Non-Geotagged Tweets. ASONAM 2015: 105-112 - [c53]Vasilis Efthymiou, George Papadakis
, George Papastefanatos
, Kostas Stefanidis
, Themis Palpanas:
Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data. IEEE BigData 2015: 411-420 - [c52]Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke:
Query Workloads for Data Series Indexes. KDD 2015: 1603-1612 - [e3]Nick Bassiliades
, Mirjana Ivanovic, Margita Kon-Popovska, Yannis Manolopoulos, Themis Palpanas, Goce Trajcevski, Athena Vakali:
New Trends in Database and Information Systems II - Selected papers of the 18th East European Conference on Advances in Databases and Information Systems and Associated Satellite Events, ADBIS 2014 Ohrid, Macedonia, September 7-10, 2014 Proceedings II. Advances in Intelligent Systems and Computing 312, Springer 2015, ISBN 978-3-319-10517-8 [contents] - 2014
- [j27]Alessandro Camerra, Jin Shieh, Themis Palpanas, Thanawin Rakthanmanon, Eamonn J. Keogh:
Beyond one billion time series: indexing and mining very large time series collections with i SAX2+. Knowl. Inf. Syst. 39(1): 123-151 (2014) - [j26]Davide Mottin
, Matteo Lissandrini
, Yannis Velegrakis
, Themis Palpanas:
Exemplar Queries: Give me an Example of What You Need. Proc. VLDB Endow. 7(5): 365-376 (2014) - [j25]Michele Dallachiesa, Themis Palpanas, Ihab F. Ilyas:
Top-k Nearest Neighbor Search In Uncertain Data Series. Proc. VLDB Endow. 8(1): 13-24 (2014) - [j24]Matteo Lissandrini
, Davide Mottin
, Themis Palpanas, Dimitra Papadimitriou, Yannis Velegrakis:
Unleashing the Power of Information Graphs. SIGMOD Rec. 43(4): 21-26 (2014) - [j23]George Papadakis
, Georgia Koutrika, Themis Palpanas, Wolfgang Nejdl
:
Meta-Blocking: Taking Entity Resolutionto the Next Level. IEEE Trans. Knowl. Data Eng. 26(8): 1946-1960 (2014) - [c51]Alejandro Maté, Kostas Zoumpatianos, Themis Palpanas, Juan Trujillo, John Mylopoulos, Elvis Koci:
A systematic approach for dynamic targeted monitoring of KPIs. CASCON 2014: 192-206 - [c50]Mikalai Tsytsarau, Themis Palpanas, Malú Castellanos:
Dynamics of news events and social media reaction. KDD 2014: 901-910 - [c49]Marco Balduini, Stefano Bocconi, Alessandro Bozzon, Emanuele Della Valle, Yi Huang, Jasper Oosterman, Themis Palpanas, Mikalai Tsytsarau:
A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart City. S4SC@ISWC 2014: 31-46 - [c48]Davide Mottin
, Matteo Lissandrini
, Yannis Velegrakis
, Themis Palpanas:
Searching with XQ: the exemplar query search engine. SIGMOD Conference 2014: 901-904 - [c47]Davide Mottin
, Alice Marascu, Senjuti Basu Roy, Gautam Das
, Themis Palpanas, Yannis Velegrakis
:
IQR: an interactive query relaxation system for the empty-answer problem. SIGMOD Conference 2014: 1095-1098 - [c46]Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas:
Indexing for interactive exploration of big data series. SIGMOD Conference 2014: 1555-1566 - [c45]Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Node classification in uncertain graphs. SSDBM 2014: 32:1-32:4 - [e2]Barbara Catania, Tania Cerquitelli
, Silvia Chiusano
, Giovanna Guerrini, Mirko Kämpf, Alfons Kemper, Boris Novikov
, Themis Palpanas, Jaroslav Pokorný, Athena Vakali:
New Trends in Databases and Information Systems, 17th East European Conference on Advances in Databases and Information Systems, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings II. Advances in Intelligent Systems and Computing 241, Springer 2014, ISBN 978-3-319-01862-1 [contents] - [e1]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Barbara Catania, Giovanna Guerrini, Themis Palpanas, Jaroslav Pokorný, Athena Vakali:
Transactions on Large-Scale Data- and Knowledge-Centered Systems XV - Selected Papers from ADBIS 2013 Satellite Events. Lecture Notes in Computer Science 8920, Springer 2014, ISBN 978-3-662-45760-3 [contents] - [i2]Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Node Classification in Uncertain Graphs. CoRR abs/1405.5829 (2014) - 2013
- [j22]Michele Dallachiesa, Themis Palpanas:
Identifying streaming frequent items in ad hoc time windows. Data Knowl. Eng. 87: 66-90 (2013) - [j21]Davide Mottin
, Themis Palpanas, Yannis Velegrakis
:
Entity ranking using click-log information. Intell. Data Anal. 17(5): 837-856 (2013) - [j20]George Giannakopoulos
, Themis Palpanas:
Revisiting the effect of history on learning performance: the problem of the demanding lord. Knowl. Inf. Syst. 36(3): 653-691 (2013) - [j19]Themis Palpanas, Yannis Velegrakis:
Front Matter. Proc. VLDB Endow. 6(10): i-x (2013) - [j18]Davide Mottin
, Alice Marascu, Senjuti Basu Roy, Gautam Das
, Themis Palpanas, Yannis Velegrakis
:
A Probabilistic Optimization Framework for the Empty-Answer Problem. Proc. VLDB Endow. 6(14): 1762-1773 (2013) - [j17]Stefano Ceri, Themis Palpanas, Emanuele Della Valle, Dino Pedreschi
, Johann-Christoph Freytag, Roberto Trasarti
:
Towards mega-modeling: a walk through data analysis experiences. SIGMOD Rec. 42(3): 19-27 (2013) - [j16]George Papadakis
, Ekaterini Ioannou
, Themis Palpanas, Claudia Niederée
, Wolfgang Nejdl
:
A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces. IEEE Trans. Knowl. Data Eng. 25(12): 2665-2682 (2013) - [c44]Yamine Aït Ameur, Witold Andrzejewski
, Ladjel Bellatreche, Barbara Catania, Tania Cerquitelli
, Silvia Chiusano
, Matteo Golfarelli, Giovanna Guerrini, Krzysztof Kaczmarski
, Mirko Kämpf, Alfons Kemper, Tobias Lauer, Boris Novikov
, Themis Palpanas, Jaroslav Pokorný, Stefano Rizzi
, Athena Vakali:
New Trends in Databases and Information Systems: Contributions from ADBIS 2013. ADBIS (2) 2013: 1-13 - [c43]Konstantinos Zoumpatianos, Themis Palpanas, John Mylopoulos, Alejandro Maté, Juan Trujillo:
Monitoring and diagnosing indicators for business analytics. CASCON 2013: 177-191 - [c42]Marco Balduini, Emanuele Della Valle, Daniele Dell'Aglio
, Mikalai Tsytsarau, Themis Palpanas, Cristian Confalonieri:
Twindex Fuorisalone: Social Listening of Milano during Fuorisalone 2013. ESWC (Satellite Events) 2013: 327-336 - [c41]Katsiaryna Mirylenka
, Themis Palpanas, Graham Cormode, Divesh Srivastava:
Finding interesting correlations with conditional heavy hitters. ICDE 2013: 1069-1080 - [c40]Marco Balduini, Emanuele Della Valle, Daniele Dell'Aglio
, Mikalai Tsytsarau, Themis Palpanas, Cristian Confalonieri:
Social Listening of City Scale Events Using the Streaming Linked Data Framework. ISWC (2) 2013: 1-16 - [c39]Mikalai Tsytsarau, Sihem Amer-Yahia, Themis Palpanas:
Efficient sentiment correlation for large-scale demographics. SIGMOD Conference 2013: 253-264 - [p1]Themis Palpanas:
Real-Time Data Analytics in Sensor Networks. Managing and Mining Sensor Data 2013: 173-210 - 2012
- [j15]Mikalai Tsytsarau, Themis Palpanas:
Survey on mining subjective data on the web. Data Min. Knowl. Discov. 24(3): 478-514 (2012) - [j14]Themis Palpanas:
A knowledge mining framework for business analysts. Data Base 43(1): 46-60 (2012) - [j13]Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas:
Diverse dimension decomposition for itemset spaces. Knowl. Inf. Syst. 33(2): 447-473 (2012) - [j12]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka
, Themis Palpanas:
Uncertain Time-Series Similarity: Return to the Basics. Proc. VLDB Endow. 5(11): 1662-1673 (2012) - [j11]Themis Palpanas, Yannis Velegrakis
:
dbTrento: the data and information management group at the University of Trento. SIGMOD Rec. 41(3): 28-33 (2012) - [c38]Konstantinos Zoumpatianos, Themis Palpanas, John Mylopoulos:
Strategic Management for Real-Time Business Intelligence. BIRTE 2012: 118-128 - [c37]Katsiaryna Mirylenka
, George Giannakopoulos
, Themis Palpanas:
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. PAKDD (1) 2012: 109-121 - [c36]Alice Marascu, Suleiman A. Khan, Themis Palpanas:
Scalable Similarity Matching in Streaming Time Series. PAKDD (2) 2012: 218-230 - [c35]Usman Raza, Alessandro Camerra, Amy L. Murphy, Themis Palpanas, Gian Pietro Picco:
What does model-driven data acquisition really achieve in wireless sensor networks? PerCom 2012: 85-94 - [c34]Irene Ntoutsi, Arthur Zimek
, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel:
Density-based Projected Clustering over High Dimensional Data Streams. SDM 2012: 987-998 - [c33]Enrico Iori, Alkis Simitsis, Themis Palpanas, Kevin Wilkinson, Stavros Harizopoulos:
CloudAlloc: a monitoring and reservation system for compute clusters. SIGMOD Conference 2012: 721-724 - [c32]George Papadakis
, Ekaterini Ioannou
, Claudia Niederée
, Themis Palpanas, Wolfgang Nejdl
:
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data. WSDM 2012: 53-62 - [i1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Uncertain Time-Series Similarity: Return to the Basics. CoRR abs/1208.1931 (2012) - 2011
- [j10]Stefano Bortoli, Themis Palpanas, Paolo Bouquet
:
Decentralised social network management. Int. J. Web Based Communities 7(3): 276-297 (2011) - [j9]Nikolaus Augsten
, Denilson Barbosa, Michael H. Böhlen
, Themis Palpanas:
Efficient Top-k Approximate Subtree Matching in Small Memory. IEEE Trans. Knowl. Data Eng. 23(8): 1123-1137 (2011) - [c31]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka
, Themis Palpanas:
Similarity matching for uncertain time series: analytical and experimental comparison. QUeST@GIS 2011: 8-15 - [c30]Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas:
Diverse Dimension Decomposition of an Itemset Space. ICDM 2011: 725-734 - [c29]Mikalai Tsytsarau, Themis Palpanas:
Towards a Framework for Detecting and Managing Opinion Contradictions. ICDM Workshops 2011: 1219-1222 - [c28]George Papadakis
, Ekaterini Ioannou
, Claudia Niederée
, Themis Palpanas, Wolfgang Nejdl
:
Eliminating the redundancy in blocking-based entity resolution methods. JCDL 2011: 85-94 - [c27]George Papadakis
, George Giannakopoulos
, Claudia Niederée
, Themis Palpanas, Wolfgang Nejdl
:
Detecting and exploiting stability in evolving heterogeneous information spaces. JCDL 2011: 95-104 - [c26]George Papadakis
, Ekaterini Ioannou
, Claudia Niederée
, Themis Palpanas, Wolfgang Nejdl
:
To compare or not to compare: making entity resolution more efficient. SWIM 2011: 3 - 2010
- [c25]Heiko Stoermer, Themis Palpanas, George Giannakopoulos
:
The Entity Name System: Enabling the web of entities. ICDE Workshops 2010: 227-232 - [c24]Nikolaus Augsten
, Denilson Barbosa, Michael H. Böhlen
, Themis Palpanas:
TASM: Top-k Approximate Subtree Matching. ICDE 2010: 353-364 - [c23]Alessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn J. Keogh:
iSAX 2.0: Indexing and Mining One Billion Time Series. ICDM 2010: 58-67 - [c22]George Giannakopoulos
, Themis Palpanas:
The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord. ICDM 2010: 809-814 - [c21]Mikalai Tsytsarau, Themis Palpanas, Kerstin Denecke
:
Scalable discovery of contradictions on the web. WWW 2010: 1195-1196
2000 – 2009
- 2009
- [j8]Nishad Manerikar, Themis Palpanas:
Frequent items in streaming data: An experimental evaluation of the state-of-the-art. Data Knowl. Eng. 68(4): 415-430 (2009) - [c20]Paolo Bouquet, Themis Palpanas, Heiko Stoermer, Massimiliano Vignolo:
A Conceptual Model for a Web-Scale Entity Name System. ASWC 2009: 46-60 - [c19]Barbara Bazzanella
, Themis Palpanas, Heiko Stoermer:
Towards a General Entity Representation Model. IRI 2009: 431-432 - 2008
- [j7]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon:
On space constrained set selection problems. Data Knowl. Eng. 67(1): 200-218 (2008) - [j6]Themis Palpanas, Michail Vlachos
, Eamonn J. Keogh, Dimitrios Gunopulos
:
Streaming Time Series Summarization Using User-Defined Amnesic Functions. IEEE Trans. Knowl. Data Eng. 20(7): 992-1006 (2008) - [c18]Themis Palpanas, Jakka Sairamesh:
Knowledge Mining for the Business Analyst. DEXA 2008: 770-778 - [c17]Themis Palpanas, Junaid Ahsenali Chaudhry, Periklis Andritsos, Yannis Velegrakis
:
Entity Data Management in OKKAM. DEXA Workshops 2008: 729-733 - [c16]Junaid Ahsenali Chaudhry, Themis Palpanas, Periklis Andritsos, Antonio Maña:
Entity Lifecycle Management for OKKAM. IRSW 2008 - [c15]Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka, Cinzia Cappiello:
Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications. ICIQ 2008: 310-324 - [c14]Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka:
Managing Data Quality in Business Intelligence Applications. QDB/MUD 2008: 133-143 - [c13]Ferry Irawan Tantono, Nishad Manerikar, Themis Palpanas:
Efficiently Discovering Recent Frequent Items in Data Streams. SSDBM 2008: 222-239 - [c12]Barbara Bazzanella, Junaid Ahsenali Chaudhry, Themis Palpanas, Heiko Stoermer:
Towards a General Entity Representation Model. SWAP 2008 - 2007
- [j5]Themis Palpanas, Pawan Chowdhary, George A. Mihaila
, Florian Pinel:
Integrated model-driven dashboard development. Inf. Syst. Frontiers 9(2-3): 195-208 (2007) - [j4]Ioana Stanoi, George A. Mihaila
, Themis Palpanas, Christian A. Lang:
WhiteWater: Distributed Processing of Fast Streams. IEEE Trans. Knowl. Data Eng. 19(9): 1214-1226 (2007) - [c11]Themis Palpanas, Vana Kalogeraki, Dimitrios Gunopulos:
Online Distribution Estimation for Streaming Data: Framework and Applications. SEBD 2007: 430-438 - 2006
- [c10]Ioana Stanoi, George A. Mihaila
, Themis Palpanas, Christian A. Lang:
Maximizing the sustained throughput of distributed continuous queries. CIKM 2006: 834-835 - [c9]Pawan Chowdhary, Themis Palpanas, Florian Pinel, Shyh-Kwei Chen, Frederick Y. Wu:
Model-Driven Dashboards for Business Performance Reporting. EDOC 2006: 374-386 - [c8]Sharmila Subramaniam, Vana Kalogeraki
, Themis Palpanas:
Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks. RTSS 2006: 401-411 - [c7]Sharmila Subramaniam, Themis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, Dimitrios Gunopulos:
Online Outlier Detection in Sensor Data Using Non-Parametric Models. VLDB 2006: 187-198 - 2005
- [j3]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon:
Using Datacube Aggregates for Approximate Querying and Deviation Detection. IEEE Trans. Knowl. Data Eng. 17(11): 1465-1477 (2005) - 2004
- [c6]Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel:
Online Amnesic Approximation of Streaming Time Series. ICDE 2004: 339-349 - [c5]Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan, Dimitrios Gunopulos, Marc Cardle:
Indexing Large Human-Motion Databases. VLDB 2004: 780-791 - 2003
- [b1]Themis Palpanas:
Data reduction in data warehouses. University of Toronto, Canada, 2003 - [j2]Themistoklis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki
, Dimitrios Gunopulos
:
Distributed deviation detection in sensor networks. SIGMOD Rec. 32(4): 77-82 (2003) - [c4]Panayiotis Tsaparas
, Themistoklis Palpanas, Yannis Kotidis, Nick Koudas, Divesh Srivastava:
Ranked Join Indices. ICDE 2003: 277-288 - [c3]Themistoklis Palpanas, Nick Koudas, Alberto O. Mendelzon:
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing. SSDBM 2003: 55-64 - 2002
- [c2]Themistoklis Palpanas, Richard Sidle, Roberta Cochrane, Hamid Pirahesh:
Incremental Maintenance for Non-Distributive Aggregate Functions. VLDB 2002: 802-813 - 2001
- [c1]Themistoklis Palpanas, Nick Koudas:
Entropy Based Approximate Querying and Exploration of Datacubes. SSDBM 2001: 81-90 - 2000
- [j1]Themistoklis Palpanas:
Knowledge Discovery in Data Warehouses. SIGMOD Rec. 29(3): 88-100 (2000)
Coauthor Index
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