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GECCO
2003
Springer
14 years 1 months ago
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Z...
CLUSTER
2009
IEEE
14 years 3 months ago
Accelerating SIFT on parallel architectures
Abstract—SIFT is a widely-used algorithm that extracts features from images; using it to extract information from hundreds of terabytes of aerial and satellite photographs requir...
Seth Warn, Wesley Emeneker, Jackson Cothren, Amy W...
OTM
2005
Springer
14 years 2 months ago
Web Image Semantic Clustering
This paper provides a novel Web image clustering methodology based on their associated texts. In our approach, the semantics of Web images are firstly represented into vectors of t...
Zhiguo Gong, Leong Hou U, Chan Wa Cheang
ICCBR
2010
Springer
13 years 7 months ago
Experience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation
Product recommendation systems are now a key part of many e-commerce services and have proven to be a successful way to help users navigate complex product spaces. In this paper, w...
Kevin McCarthy, Yasser Salem, Barry Smyth
IPM
2006
167views more  IPM 2006»
13 years 8 months ago
Browsing mixed structured and unstructured data
Both structured and unstructured data, as well as structured data representing several different types of tuples, may be integrated into a single list for browsing or retrieval. D...
Robert M. Losee