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» Techniques of Cluster Algorithms in Data Mining
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ICML
2010
IEEE
14 years 7 months ago
Mining Clustering Dimensions
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
Sajib Dasgupta, Vincent Ng
67
Voted
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
15 years 3 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
75
Voted
ICDM
2002
IEEE
106views Data Mining» more  ICDM 2002»
15 years 2 months ago
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods
Proceedings of IEEE Data Mining, IEEE Press, pp. 581-584, 2002. We describe an interactive way to generate a set of clusters for a given data set. The clustering is done by constr...
Michael R. Berthold, Bernd Wiswedel, David E. Patt...
SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
15 years 6 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
76
Voted
ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 2 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen