000 | 07460nam a22006495i 4500 | ||
---|---|---|---|
001 | 978-3-540-48061-7 | ||
003 | DE-He213 | ||
005 | 20240423132436.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1999 gw | s |||| 0|eng d | ||
020 |
_a9783540480617 _9978-3-540-48061-7 |
||
024 | 7 |
_a10.1007/b72293 _2doi |
|
050 | 4 | _aQA8.9-10.3 | |
072 | 7 |
_aPBCD _2bicssc |
|
072 | 7 |
_aPBC _2bicssc |
|
072 | 7 |
_aMAT018000 _2bisacsh |
|
072 | 7 |
_aPBCD _2thema |
|
072 | 7 |
_aPBC _2thema |
|
082 | 0 | 4 |
_a511.3 _223 |
245 | 1 | 0 |
_aNew Directions in Rough Sets, Data Mining, and Granular-Soft Computing _h[electronic resource] : _b7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 9-11, 1999 Proceedings / _cedited by Ning Zhong, Setsuo Ohsuga. |
250 | _a1st ed. 1999. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999. |
|
300 |
_aXIV, 566 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1711 |
|
505 | 0 | _aInvited 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 MeasureSpecification -- 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. | |
650 | 0 | _aMathematical logic. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aMachine theory. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aComputer science. | |
650 | 1 | 4 | _aMathematical Logic and Foundations. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aFormal Languages and Automata Theory. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aTheory of Computation. |
700 | 1 |
_aZhong, Ning. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aOhsuga, Setsuo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540666455 |
776 | 0 | 8 |
_iPrinted edition: _z9783662212202 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1711 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b72293 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
912 | _aZDB-2-BAE | ||
942 | _cSPRINGER | ||
999 |
_c187800 _d187800 |