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ADC
2003
Springer
182views Database» more  ADC 2003»
15 years 3 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
15 years 2 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
15 years 4 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson
65
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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 3 months ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...
CORR
2010
Springer
136views Education» more  CORR 2010»
14 years 7 months ago
Personalized Data Set for Analysis
Data Management portfolio within an organization has seen an upsurge in initiatives for compliance, security, repurposing and storage within and outside the organization. When suc...
Vishal Gupta, Ashutosh Saxena