2 search results - page 1 / 1 » Efficiently clustering transactional data with weighted cove... |
CIKM
2006
Springer
13 years 6 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...
KDD
2001
ACM
14 years 5 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...