Discovery Science: Third International Conference, DS 2000 Kyoto, Japan, December 4-6, 2000 ProceedingsThis volume contains 3 invited papers, 15 regular papers, and 22 poster papers that were selected for presentation at the Third International Conference on Discovery Science (DS 2000), which was held 4-6 December 2000 in Kyoto. The Program Committee selected the contributed papers from 48 submissions. Three distinguished researchers accepted our invitation to present talks: J- frey D. Ullman (Stanford University), Joseph Y. Halpern (Cornell University), and Masami Hagiya (University of Tokyo). The Program Committee would like to thank all those who submitted papers for consideration and the invited speakers. I would like to thank the Program Committee members, the Local Arrangements Committee members, and the Steering Committee members for their splendid and hard work. Finally, special thanks go to the PC Assistant Shoko Suzuki for her assistance in the development of web pages and the preparation of these proceedings. September 2000 Shinichi Morishita Organization Discovery Science 2000 is organized as part of the activities of the Discovery Science Project sponsored by Grant-in-Aid for Scienti?c Research in the Priority Area from the Ministry of Education, Science, Sports and Culture (MESSC) of Japan, in cooperation with the Japanese Society for Arti?cial Intelligence, and with SIG of Data Mining, Japan Society for Software Science and Technology. |
Contents
A Survey of AssociationRule Mining | 1 |
Degrees of belief random worlds and maximum entropy | 15 |
Discovery and Deduction | 17 |
Integrating Information Visualization and Retrieval for Discovering Internet Sources | 38 |
A Unifying Approach to HTMLWrapper Representation and Learning | 50 |
Discovery of Web Communities Based on the Cooccurrence of References | 65 |
Clustering and Visualization of Large Protein Sequence Databases by Means of an Extension of the SelfOrganizing Map | 76 |
E cient Implementationand Average Case Analysis | 86 |
Search for New Methods for Assignment of Complex Molecular Spectra | 252 |
Computational Analysis for Discovery on the Plasma Waves Observed by Scienti c Satellites | 255 |
Direction Finding of the Waves in Plasma Using Energy Function | 258 |
Coping The Challenge of Mutagenes Discovery with GUHA+ for Windows | 261 |
Discovering Interpretable Rules that Explain Customers Brand Choice Behavior | 263 |
Mining for 4ft Association Rules | 268 |
Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm | 273 |
Discovery of MofN Concepts for Classi cation | 278 |
GraphBased Induction for General Graph Structured Data and Its Application to Chemical Compound Data | 99 |
a New Text Analysis Method beyond NGram Statistics and KWIC | 112 |
Classifying Scenarios using Belief Decision Trees | 127 |
A Practical Algorithm to Find the Best Subsequence Patterns | 141 |
Online Estimation of Hidden Markov Model Parameters | 155 |
Computationally EÆcient Heuristics for IfThen Rule Extraction from FeedForward Neural Networks | 170 |
Language Learning with a Neighbor System | 183 |
Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution Function | 197 |
Knowledge Discovery from fMRI Brain Images by Logical Regression Analysis | 212 |
Human Discovery Processes Based on Searching Experiments in Virtual Psychological Research Environment | 225 |
Prediction of Binding Affinities for ProteinLigand Complexes with Neural Network Models | 240 |
Automatic and Accurate Determination of the Onset Time of the Quasiperiodic Oscillation | 242 |
The Role of Choice in Discovery | 247 |
Issues in Organizing a Successful Knowledge Discovery Contest | 282 |
Knowledge Integration of Rule Mining and Schema Discovering | 285 |
Discovery of Correlation from Multistream of Human Motion | 290 |
An Appropriate Abstraction for Constructing a Compact Decision Tree | 295 |
Extracting Positive and Negative Keywords for Web Communities | 299 |
Nonequilibrium Thermodynamics from Time Series Data Analysis | 304 |
Automatic Determination Algorithm for the Optimum Number of States in NLHMnet | 306 |
Comparative Study of Automatic Acquisition Methods of Image Processing Procedures | 311 |
Extraction of Authors Characteristics from Japanese Modern Sentences via Ngram Distribution | 315 |
Combination Retrieval for Creating Knowledge from Sparse Document Collection | 320 |
Discovery of Nominally Conditioned Polynomials using Neural Networks Vector Quantizers and Decision Trees | 325 |
| 330 | |
Other editions - View all
Discovery Science: Third International Conference, DS 2000 Kyoto, Japan ... Setsuo Arikawa,Shinichi Morishita No preview available - 2000 |
Discovery Science: Third International Conference, DS 2000 Kyoto, Japan ... Setsuo Arikawa No preview available - 2000 |
Common terms and phrases
4ft association rules abstract accuracy AEFSs Algorithmic Learning Theory Arikawa Artificial Intelligence attributes Baum-Welch algorithm belief decision tree Berlin Heidelberg 2000 Boolean classification columns combination compact DAWG complexity Computer Data Mining database decision tree defined denotes discovered Discovery Science distribution documents domain equation evaluated experimental experiments extracted finite thickness fMRI focused factors function graph GREEDY greedy algorithm GREEDY1 hash HUMAN hyperbolic tree hyperlinks hypothesis inductive inference input instances island wrappers iteration Japan Knowledge Discovery language LNAI Machine Learning matrix Maxwellian method mixture model Morishita Eds n-grams negative neural network node nonparametric regression output pairs parameters pattern positive examples prime substrings problem Proc procedure query recursive languages represented retrieval sample scenarios sequence shows space Springer-Verlag Berlin Heidelberg strings structure subjects subset substrings Table target Theorem URLs values variables vectors Vpqr