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

State-of-the-Art in Research

Methodological Advances

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

Data Linkage

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

Text Mining

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

Temporal and Sequence Mining

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  Yihao Zhang, Mehmet A. Orgun, Weiqiang Lin, Warwick Graco: An Application of Time-Changing Feature Selection. 203-217
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  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
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  Carl Mooney, Denise de Vries, John F. Roddick: A Multi-level Framework for the Analysis of Sequential Data. 229-243

State-of-the-Art in Applications

Health

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

Finance and Retail

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  Jon Patrick: The Scamseek Project - Text Mining for Financial Scams on the Internet. 295-302
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  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
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  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

last updated on Fri May 24 04:38:31 2013 by the dblp team
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