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VLDB
2002
ACM
98views Database» more  VLDB 2002»
13 years 8 months ago
Processing Star Queries on Hierarchically-Clustered Fact Tables
Star queries are the most prevalent kind of queries in data warehousing, OLAP and business intelligence applications. Thus, there is an imperative need for efficiently processing ...
Nikos Karayannidis, Aris Tsois, Timos K. Sellis, R...
ISMB
1993
13 years 10 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter
ICDE
1998
IEEE
122views Database» more  ICDE 1998»
14 years 10 months ago
A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases
Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, J&ou...
DATAMINE
2006
142views more  DATAMINE 2006»
13 years 9 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
13 years 10 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...