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SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
14 years 3 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
14 years 8 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
CIKM
2006
Springer
14 years 2 months ago
k nearest neighbor classification across multiple private databases
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Li Xiong, Subramanyam Chitti, Ling Liu
ICDM
2010
IEEE
133views Data Mining» more  ICDM 2010»
13 years 8 months ago
QMAS: Querying, Mining and Summarization of Multi-modal Databases
Robson Leonardo Ferreira Cordeiro, Fan Guo, Donna ...
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 11 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...