84 search results - page 10 / 17 » FreeSpan: frequent pattern-projected sequential pattern mini... |
103
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SBACPAD
2003
IEEE
15 years 2 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
IDEAL
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Change detection in satellite image time series is an important domain with various applications in land study. Most previous works proposed to perform this detection by ...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the tra...
ICPADS
2006
IEEE
15 years 3 months 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...
111
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BDA
2000
14 years 11 months ago
2000
In this paper we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original database. We present a new a...