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AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
15 years 7 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
15 years 7 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
CIKM
2008
Springer
15 years 7 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
147
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CIKM
2008
Springer
15 years 7 months ago
On effective presentation of graph patterns: a structural representative approach
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
15 years 6 months ago
Towards Finding Valuable Topics
Enterprises depend on their information workers finding valuable information to be productive. However, existing enterprise search and recommendation systems can exploit few studi...
Zhen Wen, Ching-Yung Lin
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