77 search results - page 1 / 16 » Clustering Transactions Using Large Items |
CIKM
1999
Springer
13 years 9 months ago
1999
Springer
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...
CIKM
2006
Springer
13 years 7 months ago
2006
Springer
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
ICDE
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...