1791 search results - page 257 / 359 » Policy-Driven Management of Data Sets |
167
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
156
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KDD
2004
ACM
15 years 11 months ago
2004
ACM
Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
184
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
191
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KDD
2009
ACM
16 years 6 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
168
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WWW
2003
ACM
16 years 6 months ago
2003
ACM
As users get connected with new-generation smart programmable phones and Personal Digital Assistants, they look for geographic information and location-aware services. In such a s...