77 search results - page 2 / 16 » Clustering Transactions Using Large Items |
DMKD
1997
ACM
13 years 10 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
KDD
2001
ACM
14 years 6 months ago
2001
ACM
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
RTCSA
1999
IEEE
13 years 10 months ago
1999
IEEE
Data Broadcast in mobile environments has received much attention in recent years and a large number of algorithms proposed. However, existing work in the literature only assume a ...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
CAINE
2009
13 years 3 months ago
2009
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...