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Concept drift
Results: 67

#	Item
51	The MSR Cookbook Mining a Decade of Research Hadi Hemmati, Sarah Nadi, Olga Baysal, Oleksii Kononenko, Wei Wang, Reid Holmes, Michael W. Godfrey Software Architecture Group David R. Cheriton School of Computer Science Un Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2013-04-16 13:48:42 Statistics Artificial intelligence Text mining Open-source software Concept drift MSR Tools Software visualization Data mining Data analysis Science
52	Approaches to Adversarial Drift Alex Kantchelian Sadia Afroz Ling Huang Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2013-09-06 17:26:04 Linear classifier Learning classifier system Concept drift Malware Support vector machine Binary classification Naive Bayes classifier Ensemble learning Pattern recognition Statistics Machine learning Statistical classification
53	Using Additive Expert Ensembles to Cope with Concept Drift Jeremy Z. Kolter and Marcus A. Maloof {jzk, maloof}@cs.georgetown.edu Department of Computer Science, Georgetown University, Washington, DC[removed], USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:41 Linear regression Statistics Weighted Majority Algorithm Winnow
54	Carla E. Brodley May, [removed]Gloucester St, Unit 3 Boston, MA[removed]cell phone: [removed]Education: Add to Reading List Source URL: www.cs.tufts.edu Language: English - Date: 2014-06-04 17:43:00 Data mining Avinash Kak Kashmiri people Concept drift Machine learning IEEE Transactions on Pattern Analysis and Machine Intelligence Computer science Statistics Artificial intelligence Year of birth missing Science
55	DATA STREAM MINING A Practical Approach Albert Bifet, Geoff Holmes, Richard Kirkby and Bernhard Pfahringer May 2011 Add to Reading List Source URL: heanet.dl.sourceforge.net Language: English - Date: 2011-05-05 03:41:46 Data mining Business intelligence Data stream mining Concept drift Ensemble learning Weka Boosting ADAPA Moa Statistics Machine learning Computational statistics
56	Massive Online Analysis Manual Albert Bifet, Richard Kirkby, Philipp Kranen, Peter Reutemann Add to Reading List Source URL: heanet.dl.sourceforge.net Language: English - Date: 2012-03-01 01:42:40 Weka Statistical classification Naive Bayes classifier Perceptron Algorithm Concept drift Data stream mining Statistics Machine learning Computational statistics
57	Leakage in Data Mining: Formulation, Detection, and Avoidance Add to Reading List Source URL: www.cs.umb.edu Language: English - Date: 2011-10-17 14:00:43 Data mining Data analysis Leakage Overfitting Business intelligence Concept drift Data dredging Entity-relationship model Statistics Science Machine learning
58	Tom M. Mitchell School of Computer Science Carnegie Mellon University Pittsburgh, PA[removed]Telephone: ([removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-05-11 15:17:00 Tom M. Mitchell Sebastian Thrun Cyc Computational learning theory Andrew McCallum Semi-supervised learning Ambient intelligence Data stream mining Concept drift Artificial intelligence Machine learning Year of birth missing
59	Curriculum Vitae Pat Langley Add to Reading List Source URL: www.isle.org Language: English - Date: 2011-12-29 16:59:42 Cognitive science Artificial intelligence Knowledge Data mining Data stream mining Concept drift Science Cognitive architecture Machine learning
60	Title Created By Concatenated program for File: /var/tmp/catpdf22492.pdf Add to Reading List Source URL: davis.wpi.edu Language: English - Date: 2012-07-19 14:03:16 Computer graphics Scientific modeling Visualization Data mining Data visualization Information visualization Social network analysis software Concept drift Science Infographics Computational science

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