35 search results - page 3 / 7 » A new classification of datasets for frequent itemsets |
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
CIDM
2007
IEEE
14 years 3 days ago
2007
IEEE
— The extension approach of frequent itemset mining can be applied to discover the relations among documents. Several schemes, i.e., n-gram, stemming, stopword removal and term w...
DSS
2006
13 years 5 months ago
2006
Classification is one of the key issues in the fields of decision sciences and knowledge discovery. This paper presents a new approach for constructing a classifier, based on an e...
AUSAI
2001
Springer
13 years 9 months ago
2001
Springer
The Apriori algorithm's frequent itemset approach has become the standard approach to discovering association rules. However, the computation requirements of the frequent item...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...