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» Using Data Mining in MURA Graphic Problems
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132
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SIGKDD
2000
139views more  SIGKDD 2000»
15 years 3 months ago
Support Vector Machines: Hype or Hallelujah?
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Kristin P. Bennett, Colin Campbell
142
Voted
CIKM
2010
Springer
15 years 2 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
PAKDD
2004
ACM
186views Data Mining» more  PAKDD 2004»
15 years 9 months ago
CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees
Abstract. Tree structures are used extensively in domains such as computational biology, pattern recognition, XML databases, computer networks, and so on. One important problem in ...
Yun Chi, Yirong Yang, Yi Xia, Richard R. Muntz
ICCBR
2003
Springer
15 years 9 months ago
Case Mining from Large Databases
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
Qiang Yang, Hong Cheng
AUSDM
2007
Springer
185views Data Mining» more  AUSDM 2007»
15 years 10 months ago
An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario
Argumentation allows agents to exchange additional information to argue about their beliefs and other mental attitudes during the negotiation process. Utterances and subsequent obs...
Khandaker Shahidul Islam