Foundations of Data Mining and knowledge Discovery 2005

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