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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
15 years 1 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
15 years 9 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...
WECWIS
2007
IEEE
119views ECommerce» more  WECWIS 2007»
15 years 4 months ago
Towards an Objective Assessment of Centrality Measures in Reputation Systems
Reputation systems facilitate cooperation in open environments. Centrality-based reputation systems use centrality measures to rank individuals, i.e., compute their reputation bas...
Christian von der Weth, Klemens Böhm
ICMCS
2006
IEEE
192views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Classifier Optimization for Multimedia Semantic Concept Detection
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Sheng Gao, Qibin Sun
DASFAA
2004
IEEE
134views Database» more  DASFAA 2004»
15 years 1 months ago
Applying Co-training to Clickthrough Data for Search Engine Adaptation
The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
Qingzhao Tan, Xiaoyong Chai, Wilfred Ng, Dik Lun L...