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• 
  Graham J. Williams, Simeon J. Simoff:
  Data Mining - Theory, Methodology, Techniques, and Applications. Lecture Notes in Computer Science 3755, Springer 2006, ISBN 3-540-32547-6

The collection of chapters is based on works presented at the Australasian Data Mining conference series and industry forums.

• 
  Geoffrey I. Webb, Damien Brain:
  Generality Is Predictive of Prediction Accuracy. 1-13
• 
  Ben Raymond, Lee Belbin:
  Visualisation and Exploration of Scientific Data Using Graphs. 14-27
• 
  Xingwen Wang, Joshua Zhexue Huang:
  A Case-Based Data Mining Platform. 28-38
• 
  Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, José Ignacio Martín:
  Consolidated Trees: An Analysis of Structural Convergence. 39-52
• 
  José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano, Aitzol Astigarraga:
  K Nearest Neighbor Edition to Guide Classification Tree Learning: Motivation and Experimental Results. 53-63
• 
  Shiying Huang, Geoffrey I. Webb:
  Efficiently Identifying Exploratory Rules' Significance. 64-77
• 
  N. R. Achuthan, Raj P. Gopalan, Amit Rudra:
  Mining Value-Based Item Packages - An Integer Programming Approach. 78-89
• 
  Heungkyu Lee, Sunmee Kang, Hanseok Ko:
  Decision Theoretic Fusion Framework for Actionability Using Data Mining on an Embedded System. 90-104
• 
  Richi Nayak, Tian Qiu:
  Use of Data Mining in System Development Life Cycle. 105-117
• 
  Yalei Hao, Gerald Quirchmayr, Markus Stumptner:
  Mining MOUCLAS Patterns and Jumping MOUCLAS Patterns to Construct Classifiers. 118-129

• 
  Peter Christen, Alan Willmore, Tim Churches:
  A Probabilistic Geocoding System Utilising a Parcel Based Address File. 130-145
• 
  Lifang Gu, Rohan A. Baxter:
  Decision Models for Record Linkage. 146-160

• 
  Deepani B. Guruge, Russel J. Stonier:
  Intelligent Document Filter for the Internet. 161-175
• 
  Debbie Zhang, Simeon J. Simoff:
  Informing the Curious Negotiator: Automatic News Extraction from the Internet. 176-191
• 
  Inna Kolyshkina, Marcel van Rooyen:
  Text Mining for Insurance Claim Cost Prediction. 192-202

• 
  Yihao Zhang, Mehmet A. Orgun, Weiqiang Lin, Warwick Graco:
  An Application of Time-Changing Feature Selection. 203-217
• 
  Hung Kook Park, Byoungho Song, Hyeon-Joong Yoo, Dae Woong Rhee, Kang Ryoung Park, Juno Chang:
  A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting. 218-228
• 
  Carl Mooney, Denise de Vries, John F. Roddick:
  A Multi-level Framework for the Analysis of Sequential Data. 229-243

• 
  Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner:
  Hierarchical Hidden Markov Models: An Application to Health Insurance Data. 244-259
• 
  Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman:
  Identifying Risk Groups Associated with Colorectal Cancer. 260-272
• 
  Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra Mitra:
  Mining Quantitative Association Rules in Protein Sequences. 273-281
• 
  Xuanyang Xie, Xi Li, Shouhong Wan, Yuchang Gong:
  Mining X-Ray Images of SARS Patients. 282-294

• 
  Jon Patrick:
  The Scamseek Project - Text Mining for Financial Scams on the Internet. 295-302
• 
  Simon C. K. Shiu, James N. K. Liu, Jennie L. C. Lam, Bo Feng:
  A Data Mining Approach for Branch and ATM Site Evaluation. 303-318
• 
  Vincent To-Yee Ng, Wai Tak Yim, Stephen Chi-fai Chan:
  The Effectiveness of Positive Data Sharing in Controlling the Growth of Indebtedness in Hong Kong Credit Card Industry. 319-329

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