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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 11 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
14 years 11 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 11 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
RECOMB
2002
Springer
14 years 11 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
SIGMOD
2004
ACM
156views Database» more  SIGMOD 2004»
14 years 11 months ago
Tree Logical Classes for Efficient Evaluation of XQuery
XML is widely praised for its flexibility in allowing repeated and missing sub-elements. However, this flexibility makes it challenging to develop a bulk algebra, which typically ...
Stelios Paparizos, Yuqing Wu, Laks V. S. Lakshmana...