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KDD
2002
ACM
138views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
SIGIR
2008
ACM
13 years 7 months ago
Towards breaking the quality curse.: a web-querying approach to web people search
Searching for people on the Web is one of the most common query types to the web search engines today. However, when a person name is queried, the returned webpages often contain ...
Dmitri V. Kalashnikov, Rabia Nuray-Turan, Sharad M...
BMCBI
2006
195views more  BMCBI 2006»
13 years 7 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona
LWA
2004
13 years 9 months ago
Experiments in Term Weighting and Keyword Extraction in Document Clustering
We study methods to initialize or bias different clustering methods using prior information about the "importance" of a keyword w.r.t. the whole document collection or a...
Christian Borgelt, Andreas Nürnberger
IRFC
2011
Springer
12 years 11 months ago
Word Clouds of Multiple Search Results
Search engine result pages (SERPs) are known as the most expensive real estate on the planet. Most queries yield millions of organic search results, yet searchers seldom look beyon...
Rianne Kaptein, Jaap Kamps