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ORCIDPanos Kalnis
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- affiliation: King Abdullah University of Science & Technology, Saudi Arabia
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2020 – today
- 2023
[j58]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis
:
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35(5): 3585-3586 (2023)- [j57]Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour:
A Universal Question-Answering Platform for Knowledge Graphs. Proc. ACM Manag. Data 1(1): 57:1-57:25 (2023) - [j56]Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao:
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35(9): 9140-9153 (2023) - [j55]Shuo Shang, Xiangliang Zhang, Panos Kalnis:
Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) 26(5): 2395-2397 (2023) - [c67]Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis:
SLAMB: Accelerated Large Batch Training with Sparse Communication. ICML 2023: 38801-38825 - [i10]Reham Omar, Omij Mangukiya, Panos Kalnis, Essam Mansour:
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots. CoRR abs/2302.06466 (2023) - [i9]Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour:
A Universal Question-Answering Platform for Knowledge Graphs. CoRR abs/2303.00595 (2023) - 2022
- [c66]Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao:
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects. IJCAI 2022: 3891-3897 - [c65]Klearchos Kosmanos, Panos Kalnis, Apostolos Papadopoulos:
Incremental Influential Community Detection in Large Networks. SSDBM 2022: 7:1-7:12 - 2021
- [j54]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geospatial data for self-driving cars. Neurocomputing 428: 308-309 (2021) - [c64]Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis:
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS 2021: 561-572 - [c63]Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis:
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. IJCAI 2021: 3613-3619 - [c62]Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao:
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams. IJCAI 2021: 3656-3662 - [c61]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. NeurIPS 2021: 8133-8146 - [c60]Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis:
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. NeurIPS 2021: 21150-21163 - [c59]Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik:
Scaling Distributed Machine Learning with In-Network Aggregation. NSDI 2021: 785-808 - [i8]Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis:
DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. CoRR abs/2102.03112 (2021) - [i7]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. CoRR abs/2108.00951 (2021) - 2020
- [j53]Shuo Shang, Kai Zheng, Panos Kalnis:
Introduction to spatio-temporal data driven urban computing. Distributed Parallel Databases 38(3): 561-562 (2020) - [j52]Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis:
Introduction to Spatio-temporal data management and analytics for Smart City research. GeoInformatica 24(1): 1-2 (2020) - [j51]Zhongpu Chen, Bin Yao, Zhi-Jie Wang, Wei Zhang, Kai Zheng, Panos Kalnis, Feilong Tang:
ITISS: an efficient framework for querying big temporal data. GeoInformatica 24(1): 27-59 (2020) - [j50]Lisi Chen, Shuo Shang, Christian S. Jensen, Jianliang Xu, Panos Kalnis, Bin Yao, Ling Shao:
Top-k term publish/subscribe for geo-textual data streams. VLDB J. 29(5): 1101-1128 (2020) - [c58]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI 2020: 3817-3824 - [c57]Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis:
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT 2020: 21-27 - [c56]Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Panos Kalnis:
Parallel Semantic Trajectory Similarity Join. ICDE 2020: 997-1008
2010 – 2019
- 2019
- [j49]Dimitrios A. Koutsomitropoulos, Spiridon D. Likothanassis, Panos Kalnis:
Semantics in the Deep: Semantic Analytics for Big Data. Data 4(2): 63 (2019) - [j48]Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis:
Parallel Trajectory-to-Location Join. IEEE Trans. Knowl. Data Eng. 31(6): 1194-1207 (2019) - [c55]Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis:
Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. EDBT 2019: 361-372 - [c54]Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis:
Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. EuroSys 2019: 27:1-27:15 - [c53]Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis:
Cluster-Based Subscription Matching for Geo-Textual Data Streams. ICDE 2019: 890-901 - [c52]Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis:
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE 2019: 1558-1561 - [c51]Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis:
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713 - [i6]Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik:
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR abs/1903.06701 (2019) - [i5]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR abs/1911.08250 (2019) - 2018
- [j47]Amin Allam, Spiros Skiadopoulos, Panos Kalnis:
Improved suffix blocking for record linkage and entity resolution. Data Knowl. Eng. 117: 98-113 (2018) - [j46]Fuad T. Jamour, Ibrahim Abdelaziz, Panos Kalnis:
A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries. Proc. VLDB Endow. 11(12): 1978-1981 (2018) - [j45]Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis:
Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs. IEEE Trans. Parallel Distributed Syst. 29(3): 659-672 (2018) - [j44]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis:
Parallel trajectory similarity joins in spatial networks. VLDB J. 27(3): 395-420 (2018) - [c50]Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao, Christian S. Jensen, Panos Kalnis:
Location-Aware Top-k Term Publish/Subscribe. ICDE 2018: 749-760 - [c49]Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Searching Trajectories by Regions of Interest. ICDE 2018: 1741-1742 - [c48]Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi, Bishwaranjan Bhattacharjee, Yuan-Chi Chang, Panos Kalnis:
Incremental Frequent Subgraph Mining on Large Evolving Graphs. ICDE 2018: 1767-1768 - [r8]Panos Kalnis:
Distributed Spatial Databases. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Panos Kalnis, Gabriel Ghinita:
Spatial Anonymity. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j43]Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis:
Errata for "Lightning Fast and Space Efficient Inequality Joins" (PVLDB 8(13): 2074-2085). Proc. VLDB Endow. 10(9): 985 (2017) - [j42]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis:
Trajectory Similarity Join in Spatial Networks. Proc. VLDB Endow. 10(11): 1178-1189 (2017) - [j41]Ibrahim Abdelaziz, Razen Harbi, Zuhair Khayyat, Panos Kalnis:
A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. Proc. VLDB Endow. 10(13): 2049-2060 (2017) - [j40]Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
Lusail: A System for Querying Linked Data at Scale. Proc. VLDB Endow. 11(4): 485-498 (2017) - [j39]Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Searching Trajectories by Regions of Interest. IEEE Trans. Knowl. Data Eng. 29(7): 1549-1562 (2017) - [j38]Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi, Bishwaranjan Bhattacharjee, Yuan-Chi Chang, Panos Kalnis:
Incremental Frequent Subgraph Mining on Large Evolving Graphs. IEEE Trans. Knowl. Data Eng. 29(12): 2710-2723 (2017) - [j37]Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis:
Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics. IEEE Trans. Parallel Distributed Syst. 28(12): 3374-3388 (2017) - [j36]Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis:
Fast and scalable inequality joins. VLDB J. 26(1): 125-150 (2017) - [c47]Majed Sahli, Essam Mansour, Panos Kalnis:
Querying and Mining Strings Made Easy. ADMA 2017: 3-17 - [c46]Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis:
DAIET: a system for data aggregation inside the network. SoCC 2017: 626 - [c45]Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis:
In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets 2017: 150-156 - [c44]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. ICDE 2017: 59-60 - [c43]Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
Query Optimizations over Decentralized RDF Graphs. ICDE 2017: 139-142 - [c42]Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
A Demonstration of Lusail: Querying Linked Data at Scale. SIGMOD Conference 2017: 1603-1606 - [c41]Ziyad AlGhamdi, Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis:
A Benchmark for Betweenness Centrality Approximation Algorithms on Large Graphs. SSDBM 2017: 6:1-6:12 - [r6]Panos Kalnis, Gabriel Ghinita:
Olap Results, Distributed Caching. Encyclopedia of GIS 2017: 1473-1479 - [r5]Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis:
Top-k OLAP Queries Using Augmented Spatial Access Methods. Encyclopedia of GIS 2017: 2252-2258 - 2016
- [j35]Dimitrios Kleftogiannis, Panos Kalnis, Vladimir B. Bajic:
Progress and challenges in bioinformatics approaches for enhancer identification. Briefings Bioinform. 17(6): 967-979 (2016) - [j34]Wail Ba-alawi, Othman Soufan, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic:
DASPfind: new efficient method to predict drug-target interactions. J. Cheminformatics 8(1): 15:1-15:9 (2016) - [j33]Othman Soufan, Wail Ba-alawi, Moataz Afeef, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic:
DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning. J. Cheminformatics 8(1): 64:1-64:14 (2016) - [j32]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016) - [j31]Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli:
Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning. VLDB J. 25(3): 355-380 (2016) - [c40]Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour:
Scalemine: scalable parallel frequent subgraph mining in a single large graph. SC 2016: 716-727 - [i4]Emaad A. Manzoor, Haewoon Kwak, Panos Kalnis:
Scheduling Broadcasts in a Network of Timelines. CoRR abs/1610.06052 (2016) - 2015
- [j30]Dimitrios Kleftogiannis, Limsoon Wong, John A. C. Archer, Panos Kalnis:
Hi-Jack: a novel computational framework for pathway-based inference of host-pathogen interactions. Bioinform. 31(14): 2332-2339 (2015) - [j29]Amin Allam, Panos Kalnis, Victor V. Solovyev:
Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data. Bioinform. 31(21): 3421-3428 (2015) - [j28]Majed Sahli, Essam Mansour, Panos Kalnis:
StarDB: A Large-Scale DBMS for Strings. Proc. VLDB Endow. 8(12): 1844-1847 (2015) - [j27]Razen Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis:
Evaluating SPARQL Queries on Massive RDF Datasets. Proc. VLDB Endow. 8(12): 1848-1851 (2015) - [j26]Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis, Nikos Mamoulis:
SPARTex: A Vertex-Centric Framework for RDF Data Analytics. Proc. VLDB Endow. 8(12): 1880-1883 (2015) - [j25]Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis:
Lightning Fast and Space Efficient Inequality Joins. Proc. VLDB Endow. 8(13): 2074-2085 (2015) - [j24]Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen:
Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. 27(6): 1505-1518 (2015) - [c39]Majed Sahli, Essam Mansour, Tariq Alturkestani, Panos Kalnis:
Automatic tuning of bag-of-tasks applications. ICDE 2015: 843-854 - [i3]Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli:
Adaptive Partitioning for Very Large RDF Data. CoRR abs/1505.02728 (2015) - 2014
- [j23]Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, Panos Kalnis:
GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. Proc. VLDB Endow. 7(7): 517-528 (2014) - [j22]Shuo Shang, Ruogu Ding, Kai Zheng, Christian S. Jensen, Panos Kalnis, Xiaofang Zhou:
Personalized trajectory matching in spatial networks. VLDB J. 23(3): 449-468 (2014) - [j21]Majed Sahli, Essam Mansour, Panos Kalnis:
ACME: A scalable parallel system for extracting frequent patterns from a very long sequence. VLDB J. 23(6): 871-893 (2014) - [i2]Razen Al-Harbi, Yasser Ebrahim, Panos Kalnis:
PHD-Store: An Adaptive SPARQL Engine with Dynamic Partitioning for Distributed RDF Repositories. CoRR abs/1405.4979 (2014) - 2013
- [j20]Essam Mansour, Ahmed El-Roby, Panos Kalnis, Aron Ahmadia, Ashraf Aboulnaga:
RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences. Proc. VLDB Endow. 6(10): 865-876 (2013) - [c38]Majed Sahli, Essam Mansour, Panos Kalnis:
Parallel motif extraction from very long sequences. CIKM 2013: 549-558 - [c37]Zuhair Khayyat, Karim Awara, Amani AlOnazi, Hani Jamjoom, Dan Williams, Panos Kalnis:
Mizan: a system for dynamic load balancing in large-scale graph processing. EuroSys 2013: 169-182 - [c36]Karim Awara, Hani Jamjoom, Panos Kalnis:
To 4, 000 compute nodes and beyond: network-aware vertex placement in large-scale graph processing systems. SIGCOMM 2013: 501-502 - 2012
- [j19]Man Lung Yiu, Ira Assent, Christian S. Jensen, Panos Kalnis:
Outsourced Similarity Search on Metric Data Assets. IEEE Trans. Knowl. Data Eng. 24(2): 338-352 (2012) - [c35]Mingqiang Xue, Panagiotis Karras, Chedy Raïssi, Panos Kalnis, Hung Keng Pung:
Delineating social network data anonymization via random edge perturbation. CIKM 2012: 475-484 - [c34]Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis:
User oriented trajectory search for trip recommendation. EDBT 2012: 156-167 - 2011
- [j18]Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino:
Approximate and exact hybrid algorithms for private nearest-neighbor queries with database protection. GeoInformatica 15(4): 699-726 (2011) - [j17]Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis:
ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings. Proc. VLDB Endow. 5(1): 49-60 (2011) - [j16]Gabriel Ghinita, Panos Kalnis, Yufei Tao:
Anonymous Publication of Sensitive Transactional Data. IEEE Trans. Knowl. Data Eng. 23(2): 161-174 (2011) - [j15]Jianneng Cao, Panagiotis Karras, Panos Kalnis, Kian-Lee Tan:
SABRE: a Sensitive Attribute Bucketization and REdistribution framework for t-closeness. VLDB J. 20(1): 59-81 (2011) - [j14]Manolis Terrovitis, Nikos Mamoulis, Panos Kalnis:
Local and global recoding methods for anonymizing set-valued data. VLDB J. 20(1): 83-106 (2011) - [c33]Mingqiang Xue, Panagiotis Papadimitriou, Chedy Raïssi, Panos Kalnis, Hung Keng Pung:
Distributed Privacy Preserving Data Collection. DASFAA (1) 2011: 93-107 - [i1]Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis:
ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings. CoRR abs/1109.6884 (2011) - 2010
- [j13]Gabriel Ghinita, Keliang Zhao, Dimitris Papadias, Panos Kalnis:
A reciprocal framework for spatial K-anonymity. Inf. Syst. 35(3): 299-314 (2010) - [j12]Aris Gkoulalas-Divanis, Panos Kalnis, Vassilios S. Verykios:
Providing K-Anonymity in location based services. SIGKDD Explor. 12(1): 3-10 (2010) - [j11]Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis:
Efficient and accurate nearest neighbor and closest pair search in high-dimensional space. ACM Trans. Database Syst. 35(3): 20:1-20:46 (2010) - [j10]Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen, Panos Kalnis:
Enabling search services on outsourced private spatial data. VLDB J. 19(3): 363-384 (2010)
2000 – 2009
- 2009
- [j9]Stefan Manegold, Ioana Manolescu, Loredana Afanasiev, Jianlin Feng, Gang Gou, Marios Hadjieleftheriou, Stavros Harizopoulos, Panos Kalnis, Konstantinos Karanasos, Dominique Laurent, Mihai Lupu, Nicola Onose, Christopher Ré, Virginie Sans, Pierre Senellart, Tina Wu, Dennis E. Shasha:
Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec. 38(3): 40-43 (2009) - [j8]Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis:
A framework for efficient data anonymization under privacy and accuracy constraints. ACM Trans. Database Syst. 34(2): 9:1-9:47 (2009) - [c32]Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen, Panos Kalnis:
Outsourcing Search Services on Private Spatial Data. ICDE 2009: 1140-1143 - [c31]Mingqiang Xue, Panos Kalnis, Hung Keng Pung:
Location Diversity: Enhanced Privacy Protection in Location Based Services. LoCA 2009: 70-87 - [c30]Yin Yang, Dimitris Papadias, Stavros Papadopoulos, Panos Kalnis:
Authenticated join processing in outsourced databases. SIGMOD Conference 2009: 5-18 - [c29]Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis:
Quality and efficiency in high dimensional nearest neighbor search. SIGMOD Conference 2009: 563-576 - [c28]Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino:
A Hybrid Technique for Private Location-Based Queries with Database Protection. SSTD 2009: 98-116 - [r4]Panos Kalnis:
Distributed Spatial Databases. Encyclopedia of Database Systems 2009: 920-925 - [r3]Panos Kalnis, Gabriel Ghinita:
Spatial Anonymity. Encyclopedia of Database Systems 2009: 2685-2690 - 2008
- [j7]Manolis Terrovitis, Nikos Mamoulis, Panos Kalnis:
Privacy-preserving anonymization of set-valued data. Proc. VLDB Endow. 1(1): 115-125 (2008) - [j6]