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CAINE
2009
15 years 4 months ago
Clustering Customer Transactions: A Rough Set Based Approach
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...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
ERCIMDL
2001
Springer
131views Education» more  ERCIMDL 2001»
15 years 10 months ago
An On-Line Document Clustering Method Based on Forgetting Factors
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clust...
Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
16 years 6 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
ICCAD
2001
IEEE
103views Hardware» more  ICCAD 2001»
16 years 3 months ago
Interconnect Resource-Aware Placement for Hierarchical FPGAs
In this paper, we utilize Rent’s rule as an empirical measure for efficient clustering and placement of circuits on hierarchical FPGAs. We show that careful matching of design c...
Amit Singh, Ganapathy Parthasarathy, Malgorzata Ma...
WWW
2007
ACM
16 years 6 months ago
A new suffix tree similarity measure for document clustering
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
Hung Chim, Xiaotie Deng