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Selected Papers from AusDM
- 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.
State-of-the-Art in Research
Methodological Advances
- 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
Data Linkage
- 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
Text Mining
- 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
Temporal and Sequence Mining
- 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
State-of-the-Art in Applications
Health
- 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
Finance and Retail
- Jon D. 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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