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Machine Learning, ISSN 0885-6125, 12/2011, Volume 85, Issue 3, pp. 333 - 359
Journal Article
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 05/2010, Volume 11, pp. 1601 - 1604
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA... 
Java | Data streams | Ensemble methods | Machine learning software | Classification | java | data streams | ensemble methods | classification | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | machine learning software
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 02/2016, Volume 17
Multi-label classification has rapidly attracted interest in the machine learning literature, and there are now a large number and considerable variety of... 
Learning | Incremental | Multi-target | Multi-label | Classification | learning | incremental | classification | multi-target | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | multi-label
Journal Article
Machine Learning, ISSN 0885-6125, 7/2012, Volume 88, Issue 1, pp. 243 - 272
Journal Article
Machine learning, ISSN 0885-6125, 01/2018, Volume 107, Issue 1, pp. 149 - 176
Journal Article
The New Zealand medical journal, ISSN 0028-8446, 11/2018, Volume 131, Issue 1485, pp. 19 - 26
Journal Article
Information Systems, ISSN 0306-4379, 07/2019, Volume 83, pp. 13 - 29
Feature selection targets the identification of which features of a dataset are relevant to the learning task. It is also widely known and used to improve... 
Feature selection | Feature drift | Data stream mining | Concept drift | Mineral industry | Mining industry | Algorithms | Classifiers | Target recognition | Production planning | Computation | Machine learning | Data transmission | Product acceptance | Drift | Artificial Intelligence | Computer Science
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 09/2016, Volume 108, pp. 65 - 78
•We propose a supervised model for expanding an opinion lexicon for Twitter.•We combine automatically annotated tweets with existing hand-made opinion... 
Sentiment analysis | Twitter | Lexicon expansion | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 01/2014, Volume 25, Issue 1, pp. 27 - 39
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 09/2010, Volume 11, pp. 2533 - 2541
WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to... 
Machine learning software | Open source software | open source software | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | machine learning software
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 02/2019, Volume 116, pp. 227 - 242
•DISCUSS tracks the discriminative power of features in streams.•DISCUSS is the first dynamic feature selection algorithm for data streams.•DISCUSS shows... 
Concept drift | Feature selection | Data stream classification | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms
Journal Article
The Journal of Systems & Software, ISSN 0164-1212, 05/2017, Volume 127, pp. 278 - 294
•This paper provides insights into a nearly neglected type of drift: feature drifts.•Existing works on feature drift detection and adaptation are... 
Data stream mining | Feature selection | Feature drift | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, THEORY & METHODS | SELECTION | Computer science | Surveys | Mineral industry | Algorithms | Mining industry
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2010, Volume 13, pp. 225 - 240
Journal Article
ACM SIGAPP Applied Computing Review, ISSN 1559-6915, 04/2019, Volume 19, Issue 1, pp. 20 - 33
...Addressing Feature Drift in Data Streams Using Iterative Subset Selection Lanqin Yuan Bernhard Pfahringer Jean Paul Barddal University of Waikato Deparment... 
data stream mining | embedded feature selection | backward feature elimination | concept drift | iterative subset selection | feature selection
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2019, Volume 11051, pp. 541 - 556
Conference Proceeding
Inductive Logic Programming, ISSN 0302-9743, 2014, Volume 8812, pp. 76 - 92
Conference Proceeding
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