New Directions in Rough Sets, Data Mining, and Granular-Soft Computing: 7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 9-11, 1999 Proceedings ... / Lecture Notes in Artificial Intelligence) 🔍
Zdzisław Pawlak (auth.), Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (eds.) Springer-Verlag Berlin Heidelberg, Lecture Notes in Computer Science, Lecture Notes in Computer Science 1711 : Lecture Notes in Artificial Intelligence, 1, 1999
英语 [en] · PDF · 10.4MB · 1999 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999.
The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.
备用文件名
lgli/LNCS 1711, N. Zhong, A. Skowron, S. Ohsuga (Eds.), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing.pdf
备用文件名
lgrsnf/LNCS 1711, N. Zhong, A. Skowron, S. Ohsuga (Eds.), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing.pdf
备用文件名
scihub/10.1007/b72293.pdf
备用文件名
zlib/Computers/Computer Science/Zdzisław Pawlak (auth.), Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (eds.)/New Directions in Rough Sets, Data Mining, and Granular-Soft Computing: 7th International Workshop, RSFDGrC’99, Yamaguchi, Japan, November 9-11, 1999. Proceedings_613453.pdf
备选标题
New Directions In Rough Sets, Data Mining, And Granular-soft Computing: 7th International Workshop, Rsfdgrc'99, Yamaguchi, Japan, November 9-11, 1999 Proceedings (lecture Notes In Computer Science)
备选作者
Rsfdgrc'99 (1999 : Yamaguchi-ken, Japan)
备选作者
Ning Zhong; Setsuo Ohsuga; RSFDGrC'99
备用出版商
Springer Berlin Heidelberg : Imprint: Springer
备用出版商
Springer Spektrum. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用版本
Lecture notes in computer science ;, 1711., Lecture notes in artificial intelligence, Lecture notes in computer science ;, 1711., Lecture notes in computer science., Berlin, New York, Germany, 1999
备用版本
Lecture notes in computer science, 1st ed. 1999, Berlin, Heidelberg, 1999
备用版本
Lecture notes in computer science, 1711, Berlin, Heidelberg, 1999
备用版本
Springer Nature, Berlin, Heidelberg, 2004
备用版本
1 edition, November 23, 1999
备用版本
Germany, Germany
备用版本
1999, 2007
元数据中的注释
lcns by are
元数据中的注释
sm32587996
元数据中的注释
{"container_title":"Lecture Notes in Computer Science","edition":"1","isbns":["3540480617","3540666451","9783540480617","9783540666455"],"issns":["0302-9743","1611-3349"],"last_page":566,"publisher":"Springer","series":"Lecture Notes in Computer Science 1711 : Lecture Notes in Artificial Intelligence"}
元数据中的注释
Includes bibliographical references and index.
备用描述
This Volume Contains The Papers Selected For Presentation At The Seventh Int- National Workshop On Rough Sets, Fuzzy Sets, Data Mining, And Granular-soft Computing (rsfdgrc’99) Held In The Yamaguchi Resort Center, Ube, Y- Aguchi, Japan, November 9-11, 1999. The Workshop Was Organized By Inter- Tional Rough Set Society, Bisc Special Interest Group On Granular Comp- Ing (grc), Polish-japaneseinstitute Of Information Technology,and Yamaguchi University. Rsfdgrc’99providedaninternationalforumforsharingoriginalresearch Results And Practical Development Experiences Among Experts In These Emerging ?elds.an Importantfeatureoftheworkshopwasto Stresstheroleofthe Integ- Tion Of Intelligent Information Techniques. That Is, To Promote A Deep Fusion Of These Approaches To Ai, Soft Computing, And Database Communities In Order To Solve Real World, Large, Complex Problems Concerned With Uncertainty And Fuz- Ness. In Particular, Rough And Fuzzy Set Methods In Data Mining And Granular Computing Were On Display. The Total Of 89 Papers Coming From 21 Countries And Touching A Wide Spectrum Of Topics Related To Both Theory And Applications Were Submitted To Rsfdgrc’99. Out Of Them 45 Papers Were Selected For Regular Presentations And 15 For Short Presentations. Seven Technical Sessions Were Organized, Namely: Rough Set Theory And Its Applications; Fuzzy Set Theory And Its Applications; Non-classical Logic And Approximate Reasoning; Information Granulation And Granular Computing; Data Mining And Knowledge Discovery; Machine Lea- Ing; Intelligent Agents And Systems. Thersfdgrc’99programwasenrichedbyfourinvitedspeakers:zdzis Law Pawlak, Lot? A. Zadeh, Philip Yu, And Setsuo Arikawa, From Soft Computing, Database, And Ai Communities. A Special Session On Rough Computing: Fo- Dations And Applications Was Organized By James F. Peters. Invited Talks -- Decision Rules, Bayes’ Rule And Rough Sets -- A New Direction In System Analysis: From Computation With Measurements To Computation With Perceptions -- On Text Mining Techniques For Personalization -- A Road To Discovery Science -- Rough Computing: Foundations And Applications -- Calculi Of Granules Based On Rough Set Theory: Approximate Distributed Synthesis And Granular Semantics For Computing With Words -- Discovery Of Rules About Complications -- Rough Genetic Algorithms -- Classifying Faults In High Voltage Power Systems: A Rough-fuzzy Neural Computational Approach -- Rough Set Theory And Its Applications -- Toward Spatial Reasoning In The Framework Of Rough Mereology -- An Algorithm For Finding Equivalence Relations From Tables With Non-deterministic Information -- On The Extension Of Rough Sets Under Incomplete Information -- On Rough Relations: An Alternative Formulation -- Formal Rough Concept Analysis --^ Noise Reduction In Telecommunication Channels Using Rough Sets And Neural Networks -- Rough Set Analysis Of Electrostimulation Test Database For The Prediction Of Post-operative Profits In Cochlear Implanted Patients -- A Rough Set-based Approach To Text Classification -- Modular Rough Fuzzy Mlp: Evolutionary Design -- Approximate Reducts And Association Rules -- Handling Missing Values In Rough Set Analysis Of Multi-attribute And Multi-criteria Decision Problems -- The Generic Rough Set Inductive Logic Programming Model And Motifs In Strings -- Rough Problem Settings For Inductive Logic Programming -- Using Rough Sets With Heuristics For Feature Selection -- The Discretization Of Continuous Attributes Based On Compatibility Rough Set And Genetic Algorithm -- Fuzzy Set Theory And Its Applications -- Level Cut Conditioning Approach To The Necessity Measure Specification -- Four C-regression Methods And Classification Functions -- Context-free Fuzzy Sets In Data Mining Context --^ Applying Fuzzy Hypothesis Testing To Medical Data -- Generating A Macroeconomic Fuzzy Forecasting System Using Evolutionary Search -- Fuzzy Control Of Nonlinear Systems Using Nonlinearized Parameterization -- Control Of Chaotic Systems Using Fuzzy Model-based Regulators -- Fuzzy Behavior-based Control For The Obstacle Avoidance Of Multi-link Manipulators -- Fuzzy Future Value And Annual Cash Flow Analyses -- Semi-linear Equation With Fuzzy Parameters -- Non-classical Logic And Approximate Reasoning -- First Order Rough Logic-revisited -- A Generalized Decision Logic In Interval-set-valued Information Tables -- Many-valued Dynamic Logic For Qualitative Decision Theory -- Incorporating Fuzzy Set Theory And Matrix Logic In Multi-layer Logic -- Fuzzy Logic As Interfacing Media For Constraint Propagation Based On Theories Of Chu Space And Information Flow -- Pattern Reasoning: A New Solution For Knowledge Acquisition Problem --^ Probabilistic Inference And Bayesian Theorem Based On Logical Implication -- Reasoning With Neural Logic Networks -- The Resolution For Rough Propositional Logic With Lower (l) And Upper (h) Approximate Operators -- Information Granulation And Granular Computing -- Information Granules In Distributed Environment -- Evolving Granules For Classification For Discovering Difference In The Usage Of Words -- Interval Evaluation By Ahp With Rough Set Concept -- Interval Density Functions In Conflict Analysis -- Incorporating Personal Database Unification By Granular Computing -- Data Mining And Knowledge Discovery -- Knowledge-driven Discovery Of Operational Definitions -- A Closest Fit Approach To Missing Attribute Values In Preterm Birth Data -- Visualizing Discovered Rule Sets With Visual Graphs Based On Compressed Entropy Density -- A Distance-based Clustering And Selection Of Association Rules On Numeric Attributes -- Knowledge Discovery For Protein Tertiary Substructures --^ Integrating Classification And Association Rule Mining: A Concept Lattice Framework -- Using Rough Genetic And Kohonen’s Neural Network For Conceptual Cluster Discovery In Data Mining -- Towards Automated Optimal Equity Portfolios Discovery In A Knowledge Sharing Financial Data Warehouse -- Rule-evolver: An Evolutionary Approach For Data Mining -- Machine Learning -- Decision Making With Probabilistic Decision Tables -- The Iterated Version Space Learning -- An Empirical Study On Rule Quality Measures -- Rules As Attributes In Classifier Construction -- An Algorithm To Find The Optimized Network Structure In An Incremental Learning -- Patterns In Numerical Data: Practical Approximations To Kolmogorov Complexity -- Performance Prediction For Classification Systems -- Intelligent Agents And Systems -- Flexible Optimization And Evolution Of Underwater Autonomous Agents -- Ontology-based Multi-agent Model Of An Information Security System --^ Optimal Multi-scale Time Series Decomposition For Financial Forecasting Using Wavelet Thresholding Techniques -- Computerized Spelling Recognition Of Words Expressed In The Sound Approach -- An Adaptive Handwriting Recognition System. Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (eds.). Includes Bibliographical References And Index.
备用描述
Front Matter....Pages -
Decision Rules, Bayes’ Rule and Rough Sets....Pages 1-9
A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptions....Pages 10-11
On Text Mining Techniques for Personalization....Pages 12-18
A Road to Discovery Science....Pages 19-19
Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words....Pages 20-28
Discovery of Rules about Complications....Pages 29-37
Rough Genetic Algorithms....Pages 38-46
Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach....Pages 47-54
Toward Spatial Reasoning in the Framework of Rough Mereology....Pages 55-63
An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information....Pages 64-72
On the Extension of Rough Sets under Incomplete Information....Pages 73-81
On Rough Relations: An Alternative Formulation....Pages 82-90
Formal Rough Concept Analysis....Pages 91-99
Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks....Pages 100-108
Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients....Pages 109-117
A Rough Set-Based Approach to Text Classification....Pages 118-127
Modular Rough Fuzzy MLP: Evolutionary Design....Pages 128-136
Approximate Reducts and Association Rules....Pages 137-145
Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problems....Pages 146-157
The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings....Pages 158-167
Rough Problem Settings for Inductive Logic Programming....Pages 168-177
Using Rough Sets with Heuristics for Feature Selection....Pages 178-187
The Discretization of Continuous Attributes Based on Compatibility Rough Set and Genetic Algorithm....Pages 188-192
Level Cut Conditioning Approach to the Necessity Measure Specification....Pages 193-202
Four c -Regression Methods and Classification Functions....Pages 203-211
Context-Free Fuzzy Sets in Data Mining Context....Pages 212-220
Applying Fuzzy Hypothesis Testing to Medical Data....Pages 221-229
Generating a Macroeconomic Fuzzy Forecasting System Using Evolutionary Search....Pages 230-238
Fuzzy Control of Nonlinear Systems Using Nonlinearized Parameterization....Pages 239-247
Control of Chaotic Systems Using Fuzzy Model-Based Regulators....Pages 248-256
Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-link Manipulators....Pages 257-265
Fuzzy Future Value and Annual Cash Flow Analyses....Pages 266-270
Semi-linear Equation with Fuzzy Parameters....Pages 271-275
First Order Rough Logic-Revisited....Pages 276-284
A Generalized Decision Logic in Interval-Set-Valued Information Tables....Pages 285-293
Many-Valued Dynamic Logic for Qualitative Decision Theory....Pages 294-303
Incorporating Fuzzy Set Theory and Matrix Logic in Multi-layer Logic....Pages 304-313
Fuzzy Logic as Interfacing Media for Constraint Propagation Based on Theories of Chu Space and Information Flow....Pages 314-323
Pattern Reasoning: A New Solution for Knowledge Acquisition Problem....Pages 324-333
Probabilistic Inference and Bayesian Theorem Based on Logical Implication....Pages 334-342
Reasoning with Neural Logic Networks....Pages 343-351
The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators....Pages 352-356
Information Granules in Distributed Environment....Pages 357-365
Evolving Granules for Classification for Discovering Difference in the Usage of Words....Pages 366-374
Interval Evaluation by AHP with Rough Set Concept....Pages 375-381
Interval Density Functions in Conflict Analysis....Pages 382-389
Incorporating Personal Database Unification by Granular Computing....Pages 390-394
Knowledge-Driven Discovery of Operational Definitions....Pages 395-404
A Closest Fit Approach to Missing Attribute Values in Preterm Birth Data....Pages 405-413
Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density....Pages 414-422
A Distance-Based Clustering and Selection of Association Rules on Numeric Attributes....Pages 423-432
Knowledge Discovery for Protein Tertiary Substructures....Pages 433-442
Integrating Classification and Association Rule Mining: A Concept Lattice Framework....Pages 443-447
Using Rough Genetic and Kohonen’s Neural Network for Conceptual Cluster Discovery in Data Mining....Pages 448-452
Towards Automated Optimal Equity Portfolios Discovery in a Knowledge Sharing Financial Data Warehouse....Pages 453-457
Rule-Evolver: An Evolutionary Approach for Data Mining....Pages 458-462
Decision Making with Probabilistic Decision Tables....Pages 463-471
The Iterated Version Space Learning....Pages 472-481
An Empirical Study on Rule Quality Measures....Pages 482-491
Rules as Attributes in Classifier Construction....Pages 492-499
An Algorithm to Find the Optimized Network Structure in an Incremental Learning....Pages 500-508
Patterns in Numerical Data: Practical Approximations to Kolmogorov Complexity....Pages 509-513
Performance Prediction for Classification Systems....Pages 514-518
Flexible Optimization and Evolution of Underwater Autonomous Agents....Pages 519-527
Ontology-Based Multi-agent Model of an Information Security System....Pages 528-532
Optimal Multi-scale Time Series Decomposition for Financial Forecasting Using Wavelet Thresholding Techniques....Pages 533-542
Computerized Spelling Recognition of Words Expressed in the Sound Approach....Pages 543-550
An Adaptive Handwriting Recognition System....Pages 551-555
Back Matter....Pages -
开源日期
2010-02-05
更多信息……

🚀 快速下载

成为会员以支持书籍、论文等的长期保存。为了感谢您对我们的支持,您将获得高速下载权益。❤️
如果您在本月捐款,您将获得双倍的快速下载次数。

🐢 低速下载

由可信的合作方提供。 更多信息请参见常见问题解答。 (可能需要验证浏览器——无限次下载!)

所有选项下载的文件都相同,应该可以安全使用。即使这样,从互联网下载文件时始终要小心。例如,确保您的设备更新及时。
  • 对于大文件,我们建议使用下载管理器以防止中断。
    推荐的下载管理器:JDownloader
  • 您将需要一个电子书或 PDF 阅读器来打开文件,具体取决于文件格式。
    推荐的电子书阅读器:Anna的档案在线查看器ReadEraCalibre
  • 使用在线工具进行格式转换。
    推荐的转换工具:CloudConvertPrintFriendly
  • 您可以将 PDF 和 EPUB 文件发送到您的 Kindle 或 Kobo 电子阅读器。
    推荐的工具:亚马逊的“发送到 Kindle”djazz 的“发送到 Kobo/Kindle”
  • 支持作者和图书馆
    ✍️ 如果您喜欢这个并且能够负担得起,请考虑购买原版,或直接支持作者。
    📚 如果您当地的图书馆有这本书,请考虑在那里免费借阅。