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Keyword

data stream mining

Description: A data-analysis method that extracts patterns or knowledge from continuous, rapidly arriving data, often under constraints on memory and processing time.
Wikidata ID: wiki/Q3079880
OpenAlex ID: keywords/data-stream-mining
Mining high-speed data streams
2000 · Pedro Domingos, Geoff Hulten · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 2,217
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Mining concept-drifting data streams using ensemble classifiers
2003 · Haixun Wang, Wei Fan, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,275
Ensemble learning for data stream analysis: A survey
2017 · Bartosz Krawczyk, Leandro L. Minku, et al. · Information Fusion · 1,050
YALE
2006 · Ingo Mierswa, Michael Wurst, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,010
Mining data streams
2005 · Mohamed Medhat Gaber, Arkady Zaslavsky, et al. · ACM SIGMOD Record · 886
Data Streams: Models and Algorithms
2014 · Charų C. Aggarwal · 611
Managing and Mining Graph Data
2010 · Charu C. Aggarwal, Haixun Wang · ˜The œKluwer international series on advances in database systems · 599
Sentiment Knowledge Discovery in Twitter Streaming Data
2010 · Albert Bifet, Eibe Frank · Lecture notes in computer science · 577
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New ensemble methods for evolving data streams
2009 · Albert Bifet, Geoff Holmes, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 570
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A Framework for Projected Clustering of High Dimensional Data Streams
2004 · Charu C. Aggarwal, Jiawei Han, et al. · Elsevier eBooks · 525
Adaptive Learning from Evolving Data Streams
2009 · Albert Bifet, Ricard Gavaldà · Lecture notes in computer science · 512
Data stream clustering
2013 · Jonathan A. Silva, Elaine R. Faria, et al. · ACM Computing Surveys · 508
A survey on data preprocessing for data stream mining: Current status and future directions
2017 · Sergio Ramírez-Gallego, Bartosz Krawczyk, et al. · Neurocomputing · 502
Data Mining: The Textbook
2015 · Charų C. Aggarwal · 473
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
2013 · Dariusz Brzezinski, Jerzy Stefanowski · IEEE Transactions on Neural Networks and Learning Systems · 425
Mining concept-drifting data streams using ensemble classifiers
2003 · Haixun Wang, Wei Fan, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 390
The CART decision tree for mining data streams
2014 · Leszek Rutkowski, Maciej Jaworski, et al. · Information Sciences · 328
A survey on data stream clustering and classification
2014 · Hai-Long Nguyen, Yew-Kwong Woon, et al. · Knowledge and Information Systems · 321
Finding frequent items in data streams
2008 · Graham Cormode, Marios Hadjieleftheriou · Proceedings of the VLDB Endowment · 306
Accurate decision trees for mining high-speed data streams
2003 · João Gama, Ricardo Rocha, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 300
Open challenges for data stream mining research
2014 · Georg Krempl, Indre Žliobaite, et al. · ACM SIGKDD Explorations Newsletter · 297
Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window
2005 · Yun Chi, Haixun Wang, et al. · Proceedings · 296
Research issues in data stream association rule mining
2006 · Nan Jiang, Le Gruenwald · ACM SIGMOD Record · 287
Scikit-Multiflow: A Multi-output Streaming Framework
2018 · Montiel, Jacob, Read, Jesse, et al. · arXiv (Cornell University) · 285
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Big data stream analysis: a systematic literature review
2019 · Taiwo Kolajo, Olawande Daramola, et al. · Journal Of Big Data · 259
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Works count: 3,552
Citation count: 47,820
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