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CIKM
2009
Springer
13 years 5 months ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 7 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
DEXA
2003
Springer
193views Database» more  DEXA 2003»
14 years 19 days ago
Supporting KDD Applications by the k-Nearest Neighbor Join
Abstract. The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such t...
Christian Böhm, Florian Krebs
TFS
2011
242views Education» more  TFS 2011»
13 years 2 months ago
Linguistic Summarization Using IF-THEN Rules and Interval Type-2 Fuzzy Sets
—Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract patterns from databases. Many authors have used this technique to generate summaries li...
Dongrui Wu, Jerry M. Mendel
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
14 years 27 days ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...