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SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
15 years 7 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...
ITCC
2005
IEEE
15 years 3 months ago
Elimination of Redundant Information for Web Data Mining
These days, billions of Web pages are created with HTML or other markup languages. They only have a few uniform structures and contain various authoring styles compared to traditi...
Shakirah Mohd Taib, Soon-ja Yeom, Byeong Ho Kang
DEXA
2008
Springer
123views Database» more  DEXA 2008»
14 years 11 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
FLAIRS
2004
14 years 11 months ago
Mining Bayesian Networks to Forecast Adverse Outcomes Related to Acute Coronary Syndrome
One fascinating aspect of tool building for datamining is the application of a generalized datamining tool to a specific domain. Often times, this process results in a cross disci...
Andy Novobilski, Francis M. Fesmire, David Sonnema...
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
14 years 9 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang