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» Techniques of Cluster Algorithms in Data Mining
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KDD
2007
ACM
169views Data Mining» more  KDD 2007»
16 years 7 months ago
Exploiting underrepresented query aspects for automatic query expansion
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao
MLDM
2007
Springer
16 years 19 days ago
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Trevor Parsons, John Murphy, Patrick O'Sullivan
VLDB
2007
ACM
111views Database» more  VLDB 2007»
16 years 18 days ago
Security in Outsourcing of Association Rule Mining
Outsourcing association rule mining to an outside service provider brings several important benefits to the data owner. These include (i) relief from the high mining cost, (ii) m...
Wai Kit Wong, David W. Cheung, Edward Hung, Ben Ka...
BMCBI
2005
112views more  BMCBI 2005»
15 years 6 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 12 months ago
Semantic representation: search and mining of multimedia content
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic ...
Apostol Natsev, Milind R. Naphade, John R. Smith