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Rough Sets and Current Trends in Computing: First International Conference, RSCTC98 Warsaw, Poland, June 2226, 1998 Proceedings 1998 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 626 pages, height x width: 235x155 mm, weight: 985 g, 14 Illustrations, color; 141 Illustrations, black and white; XIII, 626 p. 155 illus., 14 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 1424
  • Izdošanas datums: 05-Jun-1998
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540646558
  • ISBN-13: 9783540646556
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  • Formāts: Paperback / softback, 626 pages, height x width: 235x155 mm, weight: 985 g, 14 Illustrations, color; 141 Illustrations, black and white; XIII, 626 p. 155 illus., 14 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 1424
  • Izdošanas datums: 05-Jun-1998
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540646558
  • ISBN-13: 9783540646556
Citas grāmatas par šo tēmu:
This volume constitutes the refereed proceedings of the First International Conference on Rough Sets and Current Trends in Computing, RSCTC'98, held in Warsaw, Poland, in June 1998.
The volume presents 82 revised papers carefully selected for inclusion in the proceedings; also included are five invited contributions. The volume is divided in topical sections on rough set methods, statistical inference, grammar systems and molecular computations, logic in rough sets, intelligent control, rough sets in knowledge discovery and data discovery, data mining, evolutionary computation, hybrid methods, etc..

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Springer Book Archives
Invited Talks (received in text form) 1(36) W. Klosgen Deviation and association patterns for subgroup mining in temporal, spatial, and textual data bases 1(18) S. Marcus The paradox of the heap of grains in respect to roughness, fuzziness, and negligibility 19(5) V. W. Marek M. Truszczynski Rough sets -- what are they about? 24(1) Z. Pawlak Reasoning about data -- a rough set perspective 25(10) L.A. Zadeh Information granulation and its centrality in human and machine intelligence 35(2) Communications 37(588) Session RSM1 Rough Set Methods 37(31) J. W. Grzymala-Busse X. Zou Classification strategies using certain and possible rules 37(8) J. Miro-Julia J. Miro Well-behaviored operations for approximate sets 45(7) D. Slezak Searching for frequential reducts in decision tables with uncertain objects 52(8) S. Greco B. Matarazzo R. Slowinski A new rough set approach to multicriteria and multiattribute classification 60(8) Session ST1 Statistical Inference 68(15) J. Cwik J. Koronacki A heuristic method of model choice for nonlinear regression 68(7) A. Ciok T. Kowalczyk E. Pleszczynska How a new statistical infrastructure induced a new computing trend in data analysis 75(8) Session GS1 Grammar Systems and Molecular Computations 83(32) J. Dassow Some remarks on networks of parallel language processors 83(8) J. Castellanos S. Leiva J. Rodrigo A. Rodriguez-Paton Molecular computation for genetic algorithms 91(8) R. Ceterchi Marcus contextual languages and their cut-and-paste properties 99(8) R. Gramatovici Contextual multilanguages: a learning method 107(4) A. Knyazev On recognition of words from languages generated by linear grammars with one nonterminal symbol 111(4) Session LRS1 Logic in Rough Sets 115(32) W. Buszkowski Approximation spaces and definability for incomplete information systems 115(8) P. Pagliani Intrinsic co-Heyting boundaries and information incompleteness in rough set analysis 123(8) P. Maritz Multifunctions as approximation operations in generalized approximation spaces 131(8) J. Jarvinen Preimage relations and their matrices 139(8) Session IC1 Intelligent Control 147(31) B. Siemiatkowska A. Dubrawski Cellular neural networks for navigation of a mobile robot 147(8) X. Keming T. Y. Lin Z. Jianwei The Takagi-Sugeno fuzzy model identification method of parameter varying systems 155(8) K. Eguchi S. Yamane H. Sugi K. Oshima Sensing of arc length and wire extension using neural network in robotic welding 163(8) S. Yamane K. Okada K. Shinoda K. Oshima Traffic signal control using multi-layered fuzzy control 171(7) Session RSKDD1 Rough Sets in KDD 178(36) W. Ziarko Approximation region-based decision tables 178(8) M. C. Fernandez-Baizan E. Menasalvas Ruiz A. Wasilewska A model of RSDM implementation 186(8) Z. W. Ras Handling queries in incomplete CKBS through knowledge discovery 194(8) E. Martienne M. Quafafou Learning logical descriptions for document understanding: a rough sets-based approach 202(8) M. C. Fernandez-Baizan E. Menasalvas Ruiz J. M. Pena Sanchez B. Pardo Pastrana Integrating KDD algorithms and RDBMS code 210(4) Session DM1 Data Mining 214(33) M. Kryszkiewicz Fast discovery of representative association rules 214(8) A. Lenarcik Z. Piasta Rough classifiers sensitive to costs varying from object to object 222(9) N. Zhong J. Dong S. Ohsuga Soft techniques to data mining 231(8) J. M. Zytkow A. P. Sanjeev Business process understanding: mining many datasets 239(8) Session EV1 Evolutionary Computations 247(28) A. Kanasugi T. Shimayama N. Nakaya T. Iizuka A genetic algorithm for switchbox routing problem 247(8) H.-M. Voigt J. M. Lange On the benefits of random memorizing in local evolutionary search 255(8) K. Eguchi J. Suzuki S. Yamane K. Oshima An application of genetic algorithms to floorplanning of VLSI 263(8) U. Boryczka Learning with delayed rewards in ant systems for the job-shop scheduling problem 271(4) Session GA1 General Approximations 275(33) G. Cattaneo Fuzzy extension of rough sets theory 275(8) S. Greco B. Matarazzo R. Slowinski Fuzzy similarity relation as a basis for rough approximations 283(7) J. Stepaniuk Approximation spaces in extensions of rough set theory 290(8) Y. Y. Yao On generalizing Pawlak approximation operators 298(10) Session IP1 Image Processing 308(30) J. M. Lange H.-M. Voigt S. Burkhardt R. Gobel Real-time real-world visual classification -- making computational intelligence fly 308(8) W. Skarbek Fractal operator convergence by analysis of influence graph 316(6) K. Ignasiak W. Skarbek Pattern recognition by invariant reference points 322(8) J. M. del Rosario C. Jedrzejek An analysis of context selection in embedded wavelet coders 330(8) Session AR1 Approximate Reasoning 338(16) S. K. M. Wong C. J. Butz Equivalent characterization of a class of conditional probabilistic independencies 338(8) M. A. Klopotek S. T. Wierzchon A new qualitative rough-set approach to modeling belief functions 346(8) Session IP2 Image Processing 354(19) R. Sikora W. Skarbek On stability of Oja algorithm 354(7) R. J. Rak Transform vector quantization of images in one dimension 361(8) W. Rakowski Z. Bartosiewicz Daubechies filters for 2D wavelet transforms 369(4) Session RSM2 Rough Set Methods 373(35) T.-K. Jenssen J. Komorowski A. Ohrn Some heuristics for default knowledge discovery 373(8) T. Y. Lin Fuzzy partitions II: belief functions. A probabilistic view 381(6) T. Y. Lin N. Zhong J. J. Dong S. Ohsuga Frameworks for mining binary relations in data 387(7) J. Stefanowski Handling continuous attributes in discovery of strong decision rules 394(8) J. Wroblewski Covering with reducts -- a fast algorithm for rule generation 402(6) Session LFSC1 Logical Foundations of Soft Computing 408(28) W. Bartol X. Caicedo F. Rossello Syntactical content of finite approximations of partial algebras 408(8) D. Pacholczyk A new approach to linguistic negation based upon compatibility level and tolerance threshold 416(8) H. Sakai Some issues on nondeterministic knowledge bases with incomplete and selective information 424(8) Q. Liu The OI-resolution of operator rough logic 432(4) Session HRS1 Hybrid Methods in Rough Sets 436(31) K. Krawiec R. Slowinski I. Szczesniak Pedagogical method for extraction of symbolic knowledge from neural networks 436(8) P. Wojdyllo Wavelets, rough sets and artificial neural networks in EEG analysis 444(6) R. Susmaga Parallel computation of reducts 450(8) A. Mrozek K. Skabek Rough rules in Prolog 458(9) Session RSMA1 Rough Set Methods and Applications 467(32) A. Czyzewski B. Kostek Tuning the perceptual noise reduction algorithm using rough sets 467(8) S. Tsumoto Modelling medical diagnostic rules based on rough sets 475(8) A. Wakulicz-Deja M. Boryczka P. Paszek Discretization of continuous attributes on decision system in mitochondrial encephalomyopathies 483(8) J. F. Peters K. Ziaei S. Ramanna Approximate time rough control: concepts and application to satellite attitude control 491(8) Session C1 Complexity 499(22) M. Moshkov Some relationships between decision trees and decision rule systems 499(7) I. Chikalov On decision trees with minimal average depth 506(7) A. Moshkova On diagnosis of retaining faults in circuits 513(4) V. Shevtchenko On the depth of decision trees for diagnosing of nonelementary faults in circuits 517(4) Session RSMA2 Rough Set Methods and Applications 521(36) J. G. Bazan Discovery of decision rules by matching new objects against data tables 521(8) Y. Zhou J. Wang Rule+exception modeling based on rough set theory 529(8) B. S. Chlebus S. H. Nguyen On finding optimal discretizations for two attributes 537(8) H. S. Nguyen Discretization problems for rough set methods 545(8) J. Johnson Rough mereology for industrial design 553(4) Session GH1 General Hybrid Methods 557(36) M. Flasinski R. Schaefer W. Toporkiewicz Optimal stochastic scaling of CAE parallel computations 557(8) J. Wierzbicki CBR for complex objects represented in hierarchical information systems 565(8) M. Rawski L. Jozwiak A. Chojnacki Application of the information measures to input support selection in functional decomposition 573(8) T. R. Burns A. Gomolinska Modelling social game systems by rule complexes 581(4) L. Jozwiak Analysis and synthesis of information systems with information relationships and measures 585(4) W. Traczyk Approximations in data mining 589(4) Session AP1 Applications of Rough Sets 593(32) D. Van den Poel Z. Piasta Purchase prediction in database marketing with the ProbRough system 593(8) W. Czajewski Rough sets in optical character recognition 601(4) B. Predki R. Slowinski J. Stefanowski R. Susmaga S. Wilk ROSE -- software implementation of the rough set theory 605(4) R. W. Swiniarski Rough sets and bayesian methods applied to cancer detection 609(8) R. W. Swiniarski Rough sets and neural networks application to handwritten character recognition by complex Zernike moments 617(8) Author Index 625