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DAWAK
2003
Springer
14 years 18 days ago
Using an Interest Ontology for Improved Support in Rule Mining
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 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
ISTA
2003
13 years 8 months ago
Capturing Semantics from Search Phrases: Incremental User Personification and Ontology-Driven Query Transformation
: Reported is the methodology of the semantic transformation of an initial user’s search query in the form of key words or key phrases to the resulting query composed of the rele...
Vadim Ermolayev, Natalya Keberle, Sergey Plaksin, ...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
13 years 12 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
ICIP
2007
IEEE
14 years 1 months ago
Estimating Missing Features to Improve Multimedia Retrieval
Retrieval in a multimedia database usually involves combining information from different modalities of data, such as text and images. However, all modalities of the data may not b...
Abraham Bagherjeiran, Nicole S. Love, Chandrika Ka...