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SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 7 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
CIDM
2007
IEEE
13 years 11 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung
CORR
2011
Springer
229views Education» more  CORR 2011»
13 years 2 months ago
"Improved FCM algorithm for Clustering on Web Usage Mining"
In this paper we present clustering method is very sensitive to the initial center values ,requirements on the data set too high, and cannot handle noisy data the proposal method ...
K. Suresh
ICDM
2010
IEEE
198views Data Mining» more  ICDM 2010»
13 years 5 months ago
Hierarchical Ensemble Clustering
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Li Zheng, Tao Li, Chris H. Q. Ding
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 8 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster