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KDD
2004
ACM
137views Data Mining» more  KDD 2004»
16 years 6 days ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
16 years 4 days ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 11 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
INFOVIS
2000
IEEE
15 years 11 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...
CIDR
2009
145views Algorithms» more  CIDR 2009»
15 years 8 months ago
Continuous Analytics: Rethinking Query Processing in a Network-Effect World
Modern data analysis applications driven by the Network Effect are pushing traditional database and data warehousing technologies beyond their limits due to their massively increa...
Michael J. Franklin, Sailesh Krishnamurthy, Neil C...