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SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
15 years 6 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
119
Voted
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
15 years 11 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
15 years 6 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»
15 years 8 days ago
QMAS: Querying, Mining and Summarization of Multi-modal Databases
Robson Leonardo Ferreira Cordeiro, Fan Guo, Donna ...
118
Voted
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 2 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...