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» Compression-based data mining of sequential data
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CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 8 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
CIKM
2006
Springer
14 years 11 days ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...
DEXA
2008
Springer
151views Database» more  DEXA 2008»
13 years 10 months ago
Extraction of Opposite Sentiments in Classified Free Format Text Reviews
Opinion mining received well attention in finding personal opinions from user generated content. These opinions contain valuable information for improving and/or comparing the prod...
Dong (Haoyuan) Li, Anne Laurent, Mathieu Roche, Pa...
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
14 years 9 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
ICWE
2004
Springer
14 years 2 months ago
Behaviour Recovery and Complicated Pattern Definition in Web Usage Mining
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more comple...
Long Wang 0002, Christoph Meinel