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» A Framework for Mining Association Rules in Data Warehouses
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DAWAK
1999
Springer
14 years 26 days ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
CINQ
2004
Springer
157views Database» more  CINQ 2004»
14 years 9 days ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
JIIS
2000
111views more  JIIS 2000»
13 years 8 months ago
Multidimensional Index Structures in Relational Databases
Abstract. Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on effi...
Christian Böhm, Stefan Berchtold, Hans-Peter ...
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 9 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 9 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth