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» Techniques of Cluster Algorithms in Data Mining
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CAINE
2009
14 years 11 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...
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
15 years 7 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
JCP
2008
174views more  JCP 2008»
15 years 1 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 3 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
15 years 11 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee