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ORCIDAlbert Bifet
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- affiliation: University of Waikato, Hamilton, New Zealand
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2020 – today
- 2020
[j38]Albert Bifet, João Gama:
IoT data stream analytics. Ann. des Télécommunications 75(9-10): 491-492 (2020)- [j37]Maciej Grzenda
, Heitor Murilo Gomes, Albert Bifet:
Delayed labelling evaluation for data streams. Data Min. Knowl. Discov. 34(5): 1237-1266 (2020) - [j36]Paulo Cortez, Albert Bifet:
Fifth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j35]Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet, Meriem Bouzbila:
Sampling informative patterns from large single networks. Future Gener. Comput. Syst. 106: 653-658 (2020) - [j34]Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang:
Discriminative Streaming Network Embedding. Knowl. Based Syst. 190: 105138 (2020) - [j33]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks 121: 88-100 (2020) - [j32]Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning. Neural Networks 123: 118-133 (2020) - [c104]Wenbin Zhang, Albert Bifet:
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. DS 2020: 175-189 - [c103]Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet:
Unsupervised Concept Drift Detection Using a Student-Teacher Approach. DS 2020: 190-204 - [c102]Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis:
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI 2020: 961-968 - [c101]Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu:
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. IDA 2020: 40-53 - [c100]Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes:
Survey on Feature Transformation Techniques for Data Streams. IJCAI 2020: 4796-4802 - [c99]Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu:
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. IJCNN 2020: 1-8 - [c98]Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet:
On Ensemble Techniques for Data Stream Regression. IJCNN 2020: 1-8 - [c97]Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet:
Performance measures for evolving predictions under delayed labelling classification. IJCNN 2020: 1-8 - [c96]Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet:
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN 2020: 1-8 - [c95]Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. IJCNN 2020: 1-8 - [c94]Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer:
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION 2020: 80-95 - [c93]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
ORSUM - Workshop on Online Recommender Systems and User Modeling. RecSys 2020: 619-620 - [e11]Albert Bifet, Michele Berlingerio, João Gama, Jesse Read, Ana Rita Nogueira:
Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019. CEUR Workshop Proceedings 2579, CEUR-WS.org 2020 [contents] - [e10]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020. CEUR Workshop Proceedings 2715, CEUR-WS.org 2020 [contents] - [i22]Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. CoRR abs/2005.07353 (2020) - [i21]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. CoRR abs/2007.01260 (2020) - [i20]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: A Cellular Automaton for Concept Drift Detection. CoRR abs/2009.09677 (2020) - [i19]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet:
Emergent and Unspecified Behaviors in Streaming Decision Trees. CoRR abs/2010.08199 (2020) - [i18]Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb:
An Eager Splitting Strategy for Online Decision Trees. CoRR abs/2010.10935 (2020) - [i17]Fabricio Ceschin, Heitor Murilo Gomes, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, André Grégio:
Machine Learning (In) Security: A Stream of Problems. CoRR abs/2010.16045 (2020) - [i16]Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet:
River: machine learning for streaming data in Python. CoRR abs/2012.04740 (2020)
2010 – 2019
- 2019
- [j31]Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Merit-guided dynamic feature selection filter for data streams. Expert Syst. Appl. 116: 227-242 (2019) - [j30]Rodrigo Fernandes de Mello, Yule Vaz, Carlos Henrique Grossi Ferreira, Albert Bifet:
On learning guarantees to unsupervised concept drift detection on data streams. Expert Syst. Appl. 117: 90-102 (2019) - [j29]Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert Bifet:
Measuring the Shattering coefficient of Decision Tree models. Expert Syst. Appl. 137: 443-452 (2019) - [j28]Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring concept meta-learning for evolving data streams. Expert Syst. Appl. 138 (2019) - [j27]Abhik Ray, Lawrence B. Holder, Albert Bifet:
Efficient frequent subgraph mining on large streaming graphs. Intell. Data Anal. 23(1): 103-132 (2019) - [j26]Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu:
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining. Int. J. Data Sci. Anal. 8(3): 221-222 (2019) - [j25]Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Boosting decision stumps for dynamic feature selection on data streams. Inf. Syst. 83: 13-29 (2019) - [j24]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108(10): 1877-1878 (2019) - [j23]Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama:
Machine learning for streaming data: state of the art, challenges, and opportunities. SIGKDD Explor. 21(2): 6-22 (2019) - [c92]Minh-Huong Le Nguyen, Heitor Murilo Gomes, Albert Bifet:
Semi-supervised Learning over Streaming Data using MOA. BigData 2019: 553-562 - [c91]Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet:
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. BigData 2019: 761-769 - [c90]Dihia Boulegane, Albert Bifet, Giyyarpuram Madhusudan:
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams. BigData 2019: 1040-1045 - [c89]Dihia Boulegane, Nedeljko Radulovic, Albert Bifet, Ghislain Fiévet, Jimin Sohn, Yeonwoo Nam, Seojeong Yu, Dong-Wan Choi:
Real-Time Machine Learning Competition on Data Streams at the IEEE Big Data 2019. BigData 2019: 3493-3497 - [c88]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Adaptive Algorithms for Estimating Betweenness and k-path Centralities. CIKM 2019: 1231-1240 - [c87]Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet:
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality. EDBT 2019: 686-689 - [c86]Albert Bifet, Barbara Hammer, Frank-Michael Schleif:
Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets. ESANN 2019 - [c85]Heitor Murilo Gomes, Jesse Read, Albert Bifet:
Streaming Random Patches for Evolving Data Stream Classification. ICDM 2019: 240-249 - [c84]Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read:
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. ICONIP (1) 2019: 704-716 - [c83]Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira:
Adaptive Random Forests with Resampling for Imbalanced data Streams. IJCNN 2019: 1-6 - [c82]Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria, Albert Bifet:
IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks. ISCC 2019: 1-7 - [c81]Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer:
Towards Automated Configuration of Stream Clustering Algorithms. PKDD/ECML Workshops (1) 2019: 137-143 - [c80]João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein:
ORSUM 2019 2nd workshop on online recommender systems and user modeling. RecSys 2019: 562-563 - [c79]Riccardo Tommasini, Robin Keskisärkkä, Jean-Paul Calbimonte, Eva Blomqvist, Emanuele Della Valle, Albert Bifet:
Continuous Analytics of Web Streams. WWW (Companion Volume) 2019: 1323-1325 - [e9]Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro:
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9 [contents] - [e8]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - [e7]João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein:
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark. Proceedings of Machine Learning Research 109, PMLR 2019 [contents] - [i15]Diego Marrón, Eduard Ayguadé, José Ramon Herrero, Albert Bifet:
Resource-aware Elastic Swap Random Forest for Evolving Data Streams. CoRR abs/1905.05881 (2019) - [i14]Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring Concept Meta-learning for Evolving Data Streams. CoRR abs/1905.08848 (2019) - [i13]Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning. CoRR abs/1908.08018 (2019) - [i12]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and Online Learning: An Overview and Perspectives. CoRR abs/1908.08019 (2019) - [i11]Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Rebalancing Learning on Evolving Data Streams. CoRR abs/1911.07361 (2019) - 2018
- [j22]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Discriminative Distance-Based Network Indices with Application to Link Prediction. Comput. J. 61(7): 998-1014 (2018) - [j21]Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet:
Predicting attributes and friends of mobile users from AP-Trajectories. Inf. Sci. 463-464: 110-128 (2018) - [j20]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scikit-Multiflow: A Multi-output Streaming Framework. J. Mach. Learn. Res. 19: 72:1-72:5 (2018) - [c78]Maroua Bahri, Silviu Maniu, Albert Bifet:
A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams. BigData 2018: 604-613 - [c77]Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem:
Learning Fast and Slow: A Unified Batch/Stream Framework. BigData 2018: 1065-1072 - [c76]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
An In-depth Comparison of Group Betweenness Centrality Estimation Algorithms. BigData 2018: 2104-2113 - [c75]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
DyBED: An Efficient Algorithm for Updating Betweenness Centrality in Directed Dynamic Graphs. BigData 2018: 2114-2123 - [c74]Albert Bifet, Jesse Read:
Ubiquitous Artificial Intelligence and Dynamic Data Streams. DEBS 2018: 1-6 - [c73]Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet:
Adaptive random forests for data stream regression. ESANN 2018 - [c72]Tian Guo, Albert Bifet, Nino Antulov-Fantulin:
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM 2018: 989-994 - [c71]Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet:
EXAD: A System for Explainable Anomaly Detection on Big Data Traces. ICDM Workshops 2018: 1435-1440 - [c70]Andrian Putina, Steven Barth, Albert Bifet, Drew Pletcher, Cristina Precup, Patrice Nivaggioli, Dario Rossi:
Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data. INFOCOM Workshops 2018: 1-2 - [c69]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scalable Model-Based Cascaded Imputation of Missing Data. PAKDD (3) 2018: 64-76 - [c68]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. PAKDD (3) 2018: 752-764 - [c67]Andrian Putina, Dario Rossi, Albert Bifet, Steven Barth, Drew Pletcher, Cristina Precup, Patrice Nivaggioli:
Telemetry-based stream-learning of BGP anomalies. Big-DAMA@SIGCOMM 2018: 15-20 - [i10]Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet:
Large-Scale Learning from Data Streams with Apache SAMOA. CoRR abs/1805.11477 (2018) - [i9]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scikit-Multiflow: A Multi-output Streaming Framework. CoRR abs/1807.04662 (2018) - [i8]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities. CoRR abs/1810.10094 (2018) - 2017
- [j19]Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet:
A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50(2): 23:1-23:36 (2017) - [j18]Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro:
Data stream classification using random feature functions and novel method combinations. J. Syst. Softw. 127: 195-204 (2017) - [j17]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Adaptive random forests for evolving data stream classification. Mach. Learn. 106(9-10): 1469-1495 (2017) - [c66]Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet:
Low-latency multi-threaded ensemble learning for dynamic big data streams. BigData 2017: 223-232 - [c65]Jacob Montiel, Albert Bifet, Talel Abdessalem:
Predicting over-indebtedness on batch and streaming data. BigData 2017: 1504-1513 - [c64]Albert Bifet:
Classifier Concept Drift Detection and the Illusion of Progress. ICAISC (2) 2017: 715-725 - [c63]Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki:
Droplet Ensemble Learning on Drifting Data Streams. IDA 2017: 210-222 - [c62]Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer:
Extremely Fast Decision Tree Mining for Evolving Data Streams. KDD 2017: 1733-1742 - [c61]Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet:
Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories. WWW (Companion Volume) 2017: 139-147 - [e6]Moamar Sayed Mouchaweh, Albert Bifet, Hamid Bouchachia, João Gama, Rita Paula Ribeiro:
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18-22, 2017. CEUR Workshop Proceedings 1958, CEUR-WS.org 2017 [contents] - [i7]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Discriminative Distance-Based Network Indices and the Tiny-World Property. CoRR abs/1703.06227 (2017) - [i6]Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet:
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality in Large Networks. CoRR abs/1704.07351 (2017) - [i5]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. CoRR abs/1708.08739 (2017) - 2016
- [j16]Valentín Carela-Español, Pere Barlet-Ros, Albert Bifet, Kensuke Fukuda:
A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic. Telecommun. Syst. 63(2): 191-204 (2016) - [j15]João Duarte, João Gama, Albert Bifet:
Adaptive Model Rules From High-Speed Data Streams. ACM Trans. Knowl. Discov. Data 10(3): 30:1-30:22 (2016) - [c60]Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero:
Echo State Hoeffding Tree Learning. ACML 2016: 382-397 - [c59]Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet, Arinto Murdopo:
VHT: Vertical hoeffding tree. BigData 2016: 915-922 - [c58]Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, João Gama, Wei Fan:
IoT Big Data Stream Mining. KDD 2016: 2119-2120 - [c57]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet:
On Dynamic Feature Weighting for Feature Drifting Data Streams. ECML/PKDD (2) 2016: 129-144 - [c56]Michael Mayo, Albert Bifet:
Deferral classification of evolving temporal dependent data streams. SAC 2016: 952-954 - [c55]Albert Bifet:
Mining Internet of Things (IoT) Big Data Streams. SIMBig 2016: 15-16 - [c54]Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet:
Analyzing Big Data Streams with Apache SAMOA. MSM@WWW,MUSE@PKDD/ECML 2016: 44-67 - [e5]Wei Fan, Albert Bifet, Jesse Read, Qiang Yang, Philip S. Yu:
Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2016, San Francisco, CA, USA, August 14, 2016. JMLR Workshop and Conference Proceedings 53, JMLR.org 2016 [contents] - [i4]Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet, Arinto Murdopo:
VHT: Vertical Hoeffding Tree. CoRR abs/1607.08325 (2016) - 2015
- [j14]Massimo Quadrana, Albert Bifet, Ricard Gavaldà:
An efficient closed frequent itemset miner for the MOA stream mining system. AI Commun. 28(1): 143-158 (2015) - [j13]Gianmarco De Francisci Morales, Albert Bifet:
SAMOA: scalable advanced massive online analysis. J. Mach. Learn. Res. 16: 149-153 (2015) - [j12]Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes:
Evaluation methods and decision theory for classification of streaming data with temporal dependence. Mach. Learn. 98(3): 455-482 (2015) - [c53]Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He, Wei Fan:
StreamDM: Advanced Data Mining in Spark Streaming. ICDM Workshops 2015: 1608-1611 - [c52]Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer:
Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. IJCNN 2015: 1-8 - [c51]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Preface. BigMine 2015: 4 - [c50]Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer:
Efficient Online Evaluation of Big Data Stream Classifiers. KDD 2015: 59-68 - [c49]Albert Bifet:
Mining Big Data Streams with Apache SAMOA. MUSE@PKDD/ECML 2015: 55 - [c48]David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Drift Detection Using Stream Volatility. ECML/PKDD (1) 2015: 417-432 - [c47]Jesse Read, Fernando Pérez-Cruz, Albert Bifet:
Deep learning in partially-labeled data streams. SAC 2015: 954-959 - [c46]Albert Bifet:
Real-Time Big Data Stream Analytics. SIMBig 2015: 13-14 - [c45]Jesse Read, Albert Bifet:
Data Stream Classification Using Random Feature Functions and Novel Method Combinations. TrustCom/BigDataSE/ISPA (2) 2015: 211-216 - [e4]Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9286, Springer 2015, ISBN 978-3-319-23460-1 [contents] - [i3]Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer:
Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams. CoRR abs/1504.06366 (2015) - [i2]Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro:
Data Stream Classification using Random Feature Functions and Novel Method Combinations. CoRR abs/1511.00971 (2015) - 2014
- [j11]João Gama, Indre Zliobaite, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia:
A survey on concept drift adaptation. ACM Comput. Surv. 46(4): 44:1-44:37 (2014) - [j10]Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes:
Active Learning With Drifting Streaming Data. IEEE Trans. Neural Networks Learn. Syst. 25(1): 27-39 (2014) - [c44]Anh Thu Vu, Gianmarco De Francisci Morales, João Gama, Albert Bifet:
Distributed Adaptive Model Rules for mining big data streams. BigData 2014: 345-353 - [c43]Diego Marron, Albert Bifet, Gianmarco De Francisci Morales:
Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams. ECAI 2014: 615-620 - [c42]Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet:
Détection de changements dans des flots de données qualitatives. EGC 2014: 517-520 - [c41]Brandon Parker, Latifur Khan, Albert Bifet:
Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams. ICDM Workshops 2014: 716-723 - [c40]