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Data stream mining
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#	Item
121	Consistent Minimization of Clustering Objective Functions Ulrike von Luxburg Max Planck Institute for Biological Cybernetics S´ebastien Bubeck Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2011-06-28 04:17:11 Cluster analysis Data analysis Geostatistics Spectral clustering K-means clustering Single-linkage clustering Nearest neighbor graph Consensus clustering Data stream clustering Statistics Machine learning Data mining
122	SEMINAR THURSDAY SEPTEMBER 27, 2007 Scaife Hall Auditorium Room 125 Add to Reading List Source URL: www.ece.cmu.edu Language: English - Date: 2012-10-03 11:22:11 Computing Computer science Science IEEE Transactions on Multimedia Data mining Stream processing
123	Fundamentals of Analyzing and Mining Data Streams Graham Cormode [removed] Add to Reading List Source URL: dimacs.rutgers.edu Language: English - Date: 2007-03-01 17:42:12 Data mining Data management Data analysis Association rule learning Stream Transmission Control Protocol Streaming algorithm Computing Concurrent computing Data
124	Approximate Frequency Counts over Data Streams Gurmeet Singh Manku Rajeev Motwani Add to Reading List Source URL: www.vldb.org Language: English - Date: 2006-07-29 02:03:18 Association rule learning Apriori algorithm Computer science Algorithm Stack Stream processing Fisher–Yates shuffle Streaming algorithm Data mining Mathematics Computing
125	Advanced Engineering Informatics[removed]–26 Contents lists available at ScienceDirect Advanced Engineering Informatics journal homepage: www.elsevier.com/locate/aei Add to Reading List Source URL: www.ida.liu.se Language: English - Date: 2011-05-25 05:57:05 Computing Models of computation Information technology management Data mining Computer data Inter-process communication Stream
126	JMLR: Workshop and Conference Proceedings[removed]–50 Workshop on Applications of Pattern Analysis MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-09-30 09:37:27 Computational statistics Learning Data analysis Formal sciences Cluster analysis Geostatistics Data stream mining Concept drift K-means clustering Statistics Machine learning Data mining
127	An Architecture for Fast and General Data Processing on Large Clusters Matei Zaharia Electrical Engineering and Computer Sciences Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-02-04 02:17:09 MapReduce Stream processing Computer cluster Batch processing Microsoft SQL Server Data mining Data Intensive Computing HPCC Computing Concurrent computing Parallel computing
128	Data Mining II Online Learning Universität Mannheim – Paulheim/Meusel: Data Mining II – FSS2014 (Version: [removed]) – Slide 1 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:13 Machine learning Computational statistics Concept drift Data stream clustering Data mining Data analysis Statistics
129	ECML/PKDD 2013 E UROPEAN C ONFERENCE ON M ACHINE L EARNING AND P RINCIPLES AND P RACTICE OF K NOWLEDGE D ISCOVERY IN DATABASES Add to Reading List Source URL: www.kde.cs.uni-kassel.de Language: English - Date: 2013-09-22 09:17:20 Computational statistics Statistics ECML PKDD Web mining Ambient intelligence Ubiquitous computing Knowledge discovery Data stream mining Data mining Machine learning Artificial intelligence
130	Adaptive Stream Mining: A Novel Dynamic Computing Paradigm for Knowledge Extraction AFOSR DDDAS Program PI Meeting Presentation PIs: Shuvra S. Bhattacharyya, University of Maryland Add to Reading List Source URL: www.dddas.org Language: English - Date: 2013-10-28 20:21:28 Computer data Dataflow SIGNAL Software engineering Computer architecture Computing Models of computation

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