214
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
182
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
200
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
A commercial Web page typically contains many information blocks. Apart from the main content blocks, it usually has such blocks as navigation panels, copyright and privacy notice...
186
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
217
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
171
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
Association rules have received a lot of attention in the data
192
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
166
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...