7150 search results - page 1020 / 1430 » Graph-Based Data Mining |
138
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
167
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
149
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
146
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KDD
2006
ACM
16 years 5 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
121
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KDD
2006
ACM
16 years 5 months ago
2006
ACM
In this paper, we consider the problem of identifying and segmenting topically cohesive regions in the URL tree of a large website. Each page of the website is assumed to have a t...