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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 11 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
JDCTA
2010
122views more  JDCTA 2010»
15 years 1 months ago
The Application Research of High-dimensional Mixed-attribute Data Clustering Algorithm
High-dimensional mixed-attribute data clustering has become an important research direction in data mining area. Because of the advantages of the information technology, data coll...
Lilin Fan, Chunhong Liu, Qian Liu
ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
16 years 1 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
16 years 13 days ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
16 years 11 days ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...