288 search results - page 11 / 58 » Estimating the number of frequent itemsets in a large databa... |
168
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LWA
2004
15 years 7 months ago
2004
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
166
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TIME
2008
IEEE
16 years 13 days ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
164
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SIGMOD
2010
ACM
15 years 11 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
167
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SDM
2004
SIAM
15 years 7 months ago
2004
SIAM
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
157
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...