Foundations of Data Mining and knowledge Discovery 2005

• Setsuo Ohsuga:
  Knowledge Discovery as Translation. 1-19
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• Tsau Young Lin:
  Mathematical Foundation of Association Rules - Mining Associations by Solving Integral Linear Inequalities. 21-42
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• Hye-Chung (Monica) Kum, Susan Paulsen, Wei Wang:
  Comparative Study of Sequential Pattern Mining Models. 43-70
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• Murlikrishna Viswanathan, Kotagiri Ramamohanarao:
  Designing Robust Regression Models. 71-86
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• Ying Xie, Vijay V. Raghavan:
  A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases. 87-100
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• Norman Matloff:
  A Careful Look at the Use of Statistical Methodology in Data Mining. 101-117
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• Tuan-Fang Fan, Duen-Ren Liu, Churn-Jung Liau:
  Justification and Hypothesis Selection in Data Mining. 119-130
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• Shusaku Tsumoto:
  On Statistical Independence in a Contingency Table. 131-141
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• Yujia An, Xuelei Hu, Lei Xu:
  A Comparative Investigation on Model Selection in Binary Factor Analysis. 143-160
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• Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura:
  Extraction of Generalized Rules with Automated Attribute Abstraction. 161-170
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• Qingxiang Wu, David A. Bell, T. Martin McGinnity, Gongde Guo:
  Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier. 171-184
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• Paul Cotofrei, Kilian Stoffel:
  First-Order Logic Based Formalism for Temporal Data Mining ^*. 185-210
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• Jan Rauch, Milan Simunek:
  An Alternative Approach to Mining Association Rules. 211-231
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• Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov:
  Direct Mining of Rules from Data with Missing Values. 233-264
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• C. H. Li:
  Cluster Identification Using Maximum Configuration Entropy. 265-276
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• Mengjie Zhang:
  Mining Small Objects in Large Images Using Neural Networks. 277-303
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• Mitja Lenic, Peter Kokol, Milan Zorman, Petra Povalej, Bruno Stiglic, Ryuichi Yamamoto:
  Improved Knowledge Mining with the Multimethod Approach. 305-318
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• Tianhao Wu, Faisal M. Khan, Todd A. Fisher, Lori A. Shuler, William M. Pottenger:
  Posting Act Tagging Using Transformation-Based Learning. 319-331
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• April Kontostathis, William M. Pottenger, Brian D. Davison:
  Identification of Critical Values in Latent Semantic Indexing. 333-346
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• Petr Strossa, Zdenek Cerný, Jan Rauch:
  Reporting Data Mining Results in a Natural Language. 347-361
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• Socorro Millán, Ernestina Menasalvas Ruiz, Michael Hadjimichael, Esther Hochsztain:
  An Algorithm to Calculate the Expected Value of an Ongoing User Session. 363-375
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