288 search results - page 20 / 58 » Estimating the number of frequent itemsets in a large databa... |
151
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EMS
2008
IEEE
16 years 16 days ago
2008
IEEE
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
157
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
159
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ICPADS
2006
IEEE
16 years 3 days ago
2006
IEEE
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
191
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
155
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CCE
2011
15 years 1 months ago
2011
Large amounts of thermal energy are transferred to for heating or cooling in the industry as well as in the other sectors. Typical examples are crude oil preheating, ethylene plan...