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» Techniques of Cluster Algorithms in Data Mining
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CORR
2010
Springer
224views Education» more  CORR 2010»
15 years 6 months ago
A Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content Distribution
In P2P systems, large volumes of data are declustered naturally across a large number of peers. But it is very difficult to control the initial data distribution because every use...
S. Ayyasamy, S. N. Sivanandam
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
15 years 11 months ago
A new method for finding generalized frequent itemsets in generalized association rule mining
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Kritsada Sriphaew, Thanaruk Theeramunkong
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
16 years 19 days ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
16 years 24 days ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...