Discovery Science: Third International Conference, DS 2000 Kyoto, Japan, December 4-6, 2000 Proceedings: Lecture Notes in Computer Science, cartea 1967
Editat de Setsuo Arikawa, Shinichi Morishitaen Limba Engleză Paperback – 15 noi 2000
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Specificații
ISBN-13: 9783540413523
ISBN-10: 3540413529
Pagini: 352
Ilustrații: XII, 340 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:2000
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540413529
Pagini: 352
Ilustrații: XII, 340 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:2000
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Invited Papers.- A Survey of Association-Rule Mining.- Degrees of belief, random worlds, and maximum entropy.- Discovery and Deduction.- Regular Papers.- Integrating Information Visualization and Retrieval for Discovering Internet Sources.- A Unifying Approach to HTML Wrapper Representation and Learning.- Discovery of Web Communities Based on the Co-occurrence of References.- Clustering and Visualization of Large Protein Sequence Databases by Means of an Extension of the Self-Organizing Map.- A Simple Greedy Algorithm for Finding Functional Relations: Efficient Implementation and Average Case Analysis.- Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data.- Discovering Characteristic Expressions from Literary Works: a New Text Analysis Method beyond N-Gram Statistics and KWIC.- Classifying Scenarios using Belief Decision Trees.- A Practical Algorithm to Find the Best Subsequence Patterns.- On-line Estimation of Hidden Markov Model Parameters.- Computationally Efficient Heuristics for If-Then Rule Extraction from Feed-Forward Neural Networks.- Language Learning with a Neighbor System.- Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution Function.- Knowledge Discovery from fMRI Brain Images by Logical Regression Analysis.- Human Discovery Processes Based on Searching Experiments in Virtual Psychological Research Environment.- Poster Papers.- Prediction of Binding Affinities for Protein-Ligand Complexes with Neural Network Models.- Automatic and Accurate Determination of the Onset Time of the Quasi-periodic Oscillation.- The Role of Choice in Discovery.- Search for New Methods for Assignment of Complex Molecular Spectra.- Computational Analysis for Discovery on the Plasma Waves Observed by Scientific Satellites.- Direction Finding of the Waves in Plasma Using Energy Function.- Coping The Challenge of Mutagenes Discovery with GUHA+/- for Windows.- Discovering Interpretable Rules that Explain Customers’ Brand Choice Behavior.- Mining for 4ft Association Rules.- Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm.- Discovery of M-of-N Concepts for Classification.- Issues in Organizing a Successful Knowledge Discovery Contest.- Knowledge Integration of Rule Mining and Schema Discovering.- Discovery of Correlation from Multi-stream of Human Motion.- An Appropriate Abstraction for Constructing a Compact Decision Tree.- Extracting Positive and Negative Keywords for Web Communities.- Nonequilibrium Thermodynamics from Time Series Data Analysis.- Automatic Determination Algorithm for the Optimum Number of States in NL-HMnet.- Comparative Study of Automatic Acquisition Methods of Image Processing Procedures..- Extraction of Authors’ Characteristics from Japanese Modern Sentences via N-gram Distribution.- Combination Retrieval for Creating Knowledge from Sparse Document Collection.- Discovery of Nominally Conditioned Polynomials using Neural Networks, Vector Quantizers and Decision Trees.
Caracteristici
Includes supplementary material: sn.pub/extras