| This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining. |
| Invited Papers Invention and Artificial Intelligence Algorithms and Software for Collaborative Discovery from Autonomous Semantically Heterogeneous, Distributed Information Sources Training Support Vector Machines via SMO-Type Decomposition Methods The Robot Scientist Project The Arrowsmith Project: 2005 Status Report Regular Contributions - Long Papers Practical Algorithms for Pattern Based Linear Regression Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach Bias Management of Bayesian Network Classifiers A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud's/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space Assisting Scientific Discovery with an Adaptive Problem Solver Cross-Language Mining for Acronyms and Their Completions from the Web Mining Frequent 5-Free Patterns in Large Databases An Experiment with Association Rules and Classification: Post-Bagging and Conviction Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree Support Vector Inductive Logic Programming Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences The q-Gram Distance for Ordered Unlabeled Trees Monotone Classification by Function Decomposition Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations Pattern Classification via Single Spheres …… Regular Contributions-Regular Papers Project Reports Author Index |
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