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KDD
2008
ACM
239views Data Mining» more  KDD 2008»
15 years 10 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
15 years 2 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev
ALT
2002
Springer
15 years 7 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
AUSDM
2007
Springer
64views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Reflection on Development and Delivery of a Data Mining Unit
Educators developing data mining courses face a difficult task of designing curricula that are adaptable, have solid foundations, and are tailored to students from different acade...
Bozena Stewart
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 10 months ago
Fast discovery of connection subgraphs
We define a connection subgraph as a small subgraph of a large graph that best captures the relationship between two nodes. The primary motivation for this work is to provide a pa...
Christos Faloutsos, Kevin S. McCurley, Andrew Tomk...