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ALMOB
2006
102views more  ALMOB 2006»
15 years 4 months ago
Mining, compressing and classifying with extensible motifs
Background: Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in t...
Alberto Apostolico, Matteo Comin, Laxmi Parida
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 5 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
KDD
1999
ACM
206views Data Mining» more  KDD 1999»
15 years 9 months ago
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions
Efficiently answering decision support queries is an important problem. Most of the work in this direction has been in the context of the data cube. Queries are efficiently answer...
Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S....
ICMCS
1994
IEEE
147views Multimedia» more  ICMCS 1994»
15 years 8 months ago
Supporting Temporal Multimedia Operations in Object-Oriented Database Systems
Advanced applications in fields like electronic publishing and telecooperation face the problem of handling multimedia information. Conventional database systems do not offer adeq...
Karl Aberer, Wolfgang Klas
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
16 years 4 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...