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Concept drift
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#	Item
1	A Study of Intensional Concept Drift in Trending DBpedia Concepts Albert Meroño-Peñuela Efstratios Kontopoulos Add to Reading List Source URL: www.albertmeronyo.org Language: English - Date: 2017-08-28 05:59:18
2	Protecting a Moving Target: Addressing Web Application Concept Drift The 12th International Symposium on Recent Advances in Intrusion DetectionFederico Maggi, William Robertson, Christopher Krügel, Giovanni Vigna Add to Reading List Source URL: www.rennes.supelec.fr Language: English - Date: 2009-10-01 10:00:37
3	The Islamic University of Gaza Deanery of Post Graduate Studies Faculty of Information Technology Learning Concept Drift Using Adaptive Training Set Formation Strategy Add to Reading List Source URL: library.iugaza.edu.ps - Date: 2014-12-27 08:20:35
4	A Bayesian Approach to Concept Drift Stephen H. Bach Marcus A. Maloof Department of Computer Science Georgetown University Washington, DC 20007, USA Add to Reading List Source URL: stephenbach.net - Date: 2013-06-10 18:15:07
5	MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Albert Bifet1 , Geoff Holmes1 , Bernhard Pfahringer1 , Philipp Kranen2 , Hardy Kremer2 , Timm Jansen2 , and Thomas Seidl2 1 Add to Reading List Source URL: moa.cs.waikato.ac.nz Language: English - Date: 2014-11-07 23:43:25 Data mining Statistics Computational statistics Software Machine learning Massive Online Analysis Cluster analysis Formal sciences Data stream mining K-means clustering Concept drift Weka
6	Paired Learners for Concept Drift Stephen H. Bach and Marcus A. Maloof Department of Computer Science Georgetown University Washington, DCUSA {bach, maloof}@cs.georgetown.edu Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:07 Cognition Neuropsychology Educational psychology Education Machine learning Learning Concept drift Data mining Ensemble learning
7	Mining Data that Changes 17 July 2015 Data is Not Static • Add to Reading List Source URL: people.mmci.uni-saarland.de Language: English - Date: 2015-07-23 04:33:45 Machine learning Data mining Mathematics Algorithms Streaming algorithm Dynamic problem Matrix Concept drift Learning Multivariate statistics Non-negative matrix factorization Applied mathematics
8	Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2015-08-21 10:06:56 Machine learning Artificial intelligence Learning Statistical classification Massive Online Analysis K-nearest neighbors algorithm Ensemble learning Classifier chains Multi-label classification Concept drift Stochastic gradient descent Naive Bayes classifier
9	LNCS 8207 - <TEX>{CD-MOA}</TEX>: Change Detection Framework for Massive Online Analysis Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-01-13 04:36:52 Data mining Statistics Change detection CUSUM Concept drift Massive Online Analysis Feature detection Application software Information