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» A Perspective on Databases and Data Mining
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KDD
2002
ACM
189views Data Mining» more  KDD 2002»
16 years 5 months ago
Sequential PAttern mining using a bitmap representation
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Y...
DASFAA
2009
IEEE
93views Database» more  DASFAA 2009»
15 years 11 months ago
Top-K Correlation Sub-graph Search in Graph Databases
Recently, due to its wide applications, (similar) subgraph search has attracted a lot of attentions from database and data mining community, such as [13, 18, 19, 5]. In [8], Ke et ...
Lei Zou, Lei Chen 0002, Yansheng Lu
ISMIS
1999
Springer
15 years 9 months ago
Applications and Research Problems of Subgroup Mining
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deal...
Willi Klösgen
SISAP
2008
IEEE
175views Data Mining» more  SISAP 2008»
15 years 11 months ago
Anytime K-Nearest Neighbor Search for Database Applications
Many contemporary database applications require similarity-based retrieval of complex objects where the only usable knowledge of its domain is determined by a metric distance func...
Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. ...
TKDE
2008
139views more  TKDE 2008»
15 years 4 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai