| Invited Talks (received in text form) |
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1 | (36) |
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Deviation and association patterns for subgroup mining in temporal, spatial, and textual data bases |
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1 | (18) |
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The paradox of the heap of grains in respect to roughness, fuzziness, and negligibility |
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19 | (5) |
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Rough sets -- what are they about? |
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24 | (1) |
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Reasoning about data -- a rough set perspective |
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25 | (10) |
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Information granulation and its centrality in human and machine intelligence |
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35 | (2) |
| Communications |
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37 | (588) |
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Session RSM1 Rough Set Methods |
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37 | (31) |
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Classification strategies using certain and possible rules |
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37 | (8) |
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Well-behaviored operations for approximate sets |
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45 | (7) |
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Searching for frequential reducts in decision tables with uncertain objects |
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52 | (8) |
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A new rough set approach to multicriteria and multiattribute classification |
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60 | (8) |
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Session ST1 Statistical Inference |
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68 | (15) |
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A heuristic method of model choice for nonlinear regression |
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68 | (7) |
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How a new statistical infrastructure induced a new computing trend in data analysis |
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75 | (8) |
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Session GS1 Grammar Systems and Molecular Computations |
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83 | (32) |
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Some remarks on networks of parallel language processors |
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83 | (8) |
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Molecular computation for genetic algorithms |
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91 | (8) |
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Marcus contextual languages and their cut-and-paste properties |
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99 | (8) |
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Contextual multilanguages: a learning method |
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107 | (4) |
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On recognition of words from languages generated by linear grammars with one nonterminal symbol |
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111 | (4) |
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Session LRS1 Logic in Rough Sets |
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115 | (32) |
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Approximation spaces and definability for incomplete information systems |
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115 | (8) |
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Intrinsic co-Heyting boundaries and information incompleteness in rough set analysis |
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123 | (8) |
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Multifunctions as approximation operations in generalized approximation spaces |
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131 | (8) |
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Preimage relations and their matrices |
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139 | (8) |
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Session IC1 Intelligent Control |
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147 | (31) |
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Cellular neural networks for navigation of a mobile robot |
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147 | (8) |
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The Takagi-Sugeno fuzzy model identification method of parameter varying systems |
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155 | (8) |
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Sensing of arc length and wire extension using neural network in robotic welding |
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163 | (8) |
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Traffic signal control using multi-layered fuzzy control |
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171 | (7) |
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Session RSKDD1 Rough Sets in KDD |
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178 | (36) |
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Approximation region-based decision tables |
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178 | (8) |
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A model of RSDM implementation |
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186 | (8) |
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Handling queries in incomplete CKBS through knowledge discovery |
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194 | (8) |
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Learning logical descriptions for document understanding: a rough sets-based approach |
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202 | (8) |
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Integrating KDD algorithms and RDBMS code |
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210 | (4) |
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214 | (33) |
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Fast discovery of representative association rules |
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214 | (8) |
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Rough classifiers sensitive to costs varying from object to object |
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222 | (9) |
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Soft techniques to data mining |
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231 | (8) |
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Business process understanding: mining many datasets |
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239 | (8) |
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Session EV1 Evolutionary Computations |
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247 | (28) |
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A genetic algorithm for switchbox routing problem |
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247 | (8) |
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On the benefits of random memorizing in local evolutionary search |
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255 | (8) |
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An application of genetic algorithms to floorplanning of VLSI |
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263 | (8) |
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Learning with delayed rewards in ant systems for the job-shop scheduling problem |
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271 | (4) |
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Session GA1 General Approximations |
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275 | (33) |
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Fuzzy extension of rough sets theory |
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275 | (8) |
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Fuzzy similarity relation as a basis for rough approximations |
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283 | (7) |
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Approximation spaces in extensions of rough set theory |
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290 | (8) |
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On generalizing Pawlak approximation operators |
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298 | (10) |
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Session IP1 Image Processing |
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308 | (30) |
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Real-time real-world visual classification -- making computational intelligence fly |
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308 | (8) |
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Fractal operator convergence by analysis of influence graph |
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316 | (6) |
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Pattern recognition by invariant reference points |
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322 | (8) |
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An analysis of context selection in embedded wavelet coders |
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330 | (8) |
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Session AR1 Approximate Reasoning |
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338 | (16) |
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Equivalent characterization of a class of conditional probabilistic independencies |
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338 | (8) |
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A new qualitative rough-set approach to modeling belief functions |
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346 | (8) |
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Session IP2 Image Processing |
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354 | (19) |
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On stability of Oja algorithm |
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354 | (7) |
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Transform vector quantization of images in one dimension |
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361 | (8) |
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Daubechies filters for 2D wavelet transforms |
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369 | (4) |
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Session RSM2 Rough Set Methods |
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373 | (35) |
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Some heuristics for default knowledge discovery |
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373 | (8) |
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Fuzzy partitions II: belief functions. A probabilistic view |
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381 | (6) |
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Frameworks for mining binary relations in data |
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387 | (7) |
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Handling continuous attributes in discovery of strong decision rules |
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394 | (8) |
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Covering with reducts -- a fast algorithm for rule generation |
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402 | (6) |
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Session LFSC1 Logical Foundations of Soft Computing |
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408 | (28) |
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Syntactical content of finite approximations of partial algebras |
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408 | (8) |
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A new approach to linguistic negation based upon compatibility level and tolerance threshold |
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416 | (8) |
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Some issues on nondeterministic knowledge bases with incomplete and selective information |
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424 | (8) |
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The OI-resolution of operator rough logic |
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432 | (4) |
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Session HRS1 Hybrid Methods in Rough Sets |
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436 | (31) |
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Pedagogical method for extraction of symbolic knowledge from neural networks |
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436 | (8) |
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Wavelets, rough sets and artificial neural networks in EEG analysis |
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444 | (6) |
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Parallel computation of reducts |
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450 | (8) |
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458 | (9) |
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Session RSMA1 Rough Set Methods and Applications |
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467 | (32) |
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Tuning the perceptual noise reduction algorithm using rough sets |
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467 | (8) |
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Modelling medical diagnostic rules based on rough sets |
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475 | (8) |
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Discretization of continuous attributes on decision system in mitochondrial encephalomyopathies |
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483 | (8) |
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Approximate time rough control: concepts and application to satellite attitude control |
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491 | (8) |
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499 | (22) |
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Some relationships between decision trees and decision rule systems |
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499 | (7) |
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On decision trees with minimal average depth |
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506 | (7) |
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On diagnosis of retaining faults in circuits |
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513 | (4) |
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On the depth of decision trees for diagnosing of nonelementary faults in circuits |
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517 | (4) |
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Session RSMA2 Rough Set Methods and Applications |
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521 | (36) |
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Discovery of decision rules by matching new objects against data tables |
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521 | (8) |
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Rule+exception modeling based on rough set theory |
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529 | (8) |
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On finding optimal discretizations for two attributes |
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537 | (8) |
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Discretization problems for rough set methods |
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545 | (8) |
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Rough mereology for industrial design |
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553 | (4) |
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Session GH1 General Hybrid Methods |
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557 | (36) |
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Optimal stochastic scaling of CAE parallel computations |
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557 | (8) |
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CBR for complex objects represented in hierarchical information systems |
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565 | (8) |
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Application of the information measures to input support selection in functional decomposition |
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573 | (8) |
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Modelling social game systems by rule complexes |
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581 | (4) |
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Analysis and synthesis of information systems with information relationships and measures |
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585 | (4) |
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Approximations in data mining |
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589 | (4) |
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Session AP1 Applications of Rough Sets |
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593 | (32) |
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Purchase prediction in database marketing with the ProbRough system |
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593 | (8) |
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Rough sets in optical character recognition |
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601 | (4) |
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ROSE -- software implementation of the rough set theory |
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605 | (4) |
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Rough sets and bayesian methods applied to cancer detection |
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609 | (8) |
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Rough sets and neural networks application to handwritten character recognition by complex Zernike moments |
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617 | (8) |
| Author Index |
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625 | |