183 search results - page 16 / 37 » SQL Based Frequent Pattern Mining with FP-Growth |
DASFAA
2007
IEEE
2007
IEEE
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
14 years 1 months ago
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
PAKDD
2010
ACM
14 years 8 days ago
2010
ACM
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
PAKDD
2004
ACM
14 years 26 days ago
2004
ACM
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
EDBT
2011
ACM
12 years 11 months ago
2011
ACM
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...