1215 search results - page 67 / 243 » Numbers in Multi-relational Data Mining |
171
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KDD
2009
ACM
16 years 5 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...
152
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ICDM
2002
IEEE
15 years 9 months ago
2002
IEEE
Frequent pattern mining has been studied extensively. However, the effectiveness and efficiency of this mining is often limited, since the number of frequent patterns generated i...
124
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
144
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CIDM
2011
IEEE
14 years 8 months ago
2011
IEEE
Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
174
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DAWAK
2007
Springer
15 years 10 months ago
2007
Springer
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...