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» Model-Checking Based Data Retrieval
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 7 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho
SAC
2010
ACM
16 years 1 months ago
Web-based graphical querying of databases through an ontology: the Wonder system
Biological scientists have made large amounts of data available on the Web, which can be accessed by canned or precomputed queries presented via web forms. To satisfy further info...
Diego Calvanese, C. Maria Keet, Werner Nutt, Maria...
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 7 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
16 years 6 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...