KDX: an indexer for support vector machines

Support vector machines (SVMs) have been adopted by many data mining and information-retrieval applications for learning a mining or query concept, and then retrieving the "top-k" best matches to the concept. However, when the data set is large, naively scanning the entire data set to find...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2006-06, Vol.18 (6), p.748-763
Hauptverfasser:	Navneet Panda, Chang, E.Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Cost analysis Costs Data mining Exact sciences and technology Face recognition Indexing Information retrieval Information systems. Data bases Kernel Kernels Machine learning Memory organisation. Data processing Performance analysis Query processing Searching Software Studies Support vector machine Support vector machines {\rm{top}}{\hbox{-}}k retrieval
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