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DATAMINE
1999
108views more  DATAMINE 1999»
14 years 11 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
SAC
2010
ACM
15 years 6 months ago
Background knowledge in formal concept analysis: constraints via closure operators
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
Radim Belohlávek, Vilém Vychodil
ECOOP
2009
Springer
16 years 12 days ago
MAPO: Mining and Recommending API Usage Patterns
To improve software productivity, when constructing new software systems, programmers often reuse existing libraries or frameworks by invoking methods provided in their APIs. Those...
Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, Hong Mei
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
15 years 6 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 5 days ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu