583 search results - page 44 / 117 » Mining evolving data streams for frequent patterns |
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SIGMOD
2005
ACM
15 years 10 months ago
2005
ACM
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
FLAIRS
2001
14 years 11 months ago
2001
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
ICTAI
2003
IEEE
15 years 3 months ago
2003
IEEE
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...