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DEXA
2003
Springer
193views Database» more  DEXA 2003»
15 years 12 months ago
Supporting KDD Applications by the k-Nearest Neighbor Join
Abstract. The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such t...
Christian Böhm, Florian Krebs
191
Voted
JBI
2008
137views Bioinformatics» more  JBI 2008»
15 years 6 months ago
Mining sequential patterns for protein fold recognition
Protein data contain discriminative patterns that can be used in many beneficial applications if they are defined correctly. In this work sequential pattern mining (SPM) is utiliz...
Themis P. Exarchos, Costas Papaloukas, Christos La...
KDD
2004
ACM
192views Data Mining» more  KDD 2004»
16 years 7 months ago
Mining and summarizing customer reviews
Merchants selling products on the Web often ask their customers to review the products that they have purchased and the associated services. As e-commerce is becoming more and mor...
Minqing Hu, Bing Liu
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
16 years 26 days ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
PVLDB
2008
107views more  PVLDB 2008»
15 years 6 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald