7150 search results - page 535 / 1430 » Graph-Based Data Mining |
192
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
188
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DAWAK
2001
Springer
15 years 11 months ago
2001
Springer
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
174
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CIS
2004
Springer
16 years 11 days ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
212
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
191
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...