12943 search results - page 2369 / 2589 » Predicting When Not to Predict |
150
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
145
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
128
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
141
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
148
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...