000 | 07912nam a22006735i 4500 | ||
---|---|---|---|
001 | 978-3-540-72458-2 | ||
003 | DE-He213 | ||
005 | 20240730194806.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540724582 _9978-3-540-72458-2 |
||
024 | 7 |
_a10.1007/978-3-540-72458-2 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aRough Sets and Knowledge Technology _h[electronic resource] : _bSecond International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings / _cedited by JingTao Yao, Pawan Lingras, Wei-Zhi Wu, Marcin Szczuka, Nick Cercone, Dominik Slezak. |
250 | _a1st ed. 2007. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007. |
|
300 |
_aXIV, 578 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 ; _v4481 |
|
505 | 0 | _aInvited Papers -- Decision-Theoretic Rough Set Models -- Efficient Attribute Reduction Based on Discernibility Matrix -- Near Sets. Toward Approximation Space-Based Object Recognition -- Rough Set Foundations -- On Covering Rough Sets -- On Transitive Uncertainty Mappings -- A Complete Method to Incomplete Information Systems -- Information Concept Lattice and Its Reductions -- Homomorphisms Between Relation Information Systems -- Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems -- Entropies and Co-entropies for Incomplete Information Systems -- Granular Computing Based on a Generalized Approximation Space -- A General Definition of an Attribute Reduct -- Multiple Criteria Decision Analysis -- Mining Associations for Interface Design -- Optimized Generalized Decision in Dominance-Based Rough Set Approach -- Monotonic Variable Consistency Rough Set Approaches -- Bayesian Decision Theory for Dominance-Based Rough Set Approach -- Ranking by Rough Approximation of Preferences for Decision Engineering Applications -- Applying a Decision Making Model in the Early Diagnosis of Alzheimer's Disease -- Biometrics -- Singular and Principal Subspace of Signal Information System by BROM Algorithm -- Biometric Verification by Projections in Error Subspaces -- Absolute Contrasts in Face Detection with AdaBoost Cascade -- Voice Activity Detection for Speaker Verification Systems -- Face Detection by Discrete Gabor Jets and Reference Graph of Fiducial Points -- Iris Recognition with Adaptive Coding -- Kansei Engineering -- Overview of Kansei System and Related Problems -- Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules -- Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering -- Functional Data Analysis and ItsApplication -- Evaluation of Pictogram Using Rough Sets -- A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval -- Autonomy-Oriented Computing -- A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection -- A Memetic-Clustering-Based Evolution Strategy for Traveling Salesman Problems -- An Efficient Probabilistic Approach to Network Community Mining -- A New Approach to Underdetermined Blind Source Separation Using Sparse Representation -- Soft Computing in Bioinformatics -- Evolutionary Fuzzy Biclustering of Gene Expression Data -- Rough Clustering and Regression Analysis -- Rule Induction for Prediction of MHC II-Binding Peptides -- Efficient Local Protein Structure Prediction -- Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data -- Ubiquitous Computing and Networking -- Ubiquitous Customer Relationship Management (uCRM) -- Towards the Optimal Design of an RFID-Based Positioning System for the Ubiquitous Computing Environment -- Wave Dissemination for Wireless Sensor Networks -- Two Types of a Zone-Based Clustering Method for Wireless Sensor Networks -- Rough Set Algorithms -- Set Approximations in Multi-level Conceptual Data -- Knowledge Reduction in Generalized Consistent Decision Formal Contexts -- Graphical Representation of Information on the Set of Reducts -- Minimal Attribute Space Bias for Attribute Reduction -- Two-Phase ?-Certain Reducts Generation -- Formal Concept Analysis and Set-Valued Information Systems -- Descriptors and Templates in Relational Information Systems -- ROSA: An Algebra for Rough Spatial Objects in Databases -- Knowledge Representation and Reasoning -- Learning Models Based on Formal Concept -- Granulation Based Approximate Ontologies Capture -- Fuzzy-ValuedTransitive Inclusion Measure, Similarity Measure and Application to Approximate Reasoning -- Model Composition in Multi-dimensional Data Spaces -- An Incremental Approach for Attribute Reduction in Concept Lattice -- Topological Space for Attributes Set of a Formal Context -- Flow Graphs as a Tool for Mining Prediction Rules of Changes of Components in Temporal Information Systems -- Approximation Space-Based Socio-Technical Conflict Model -- Genetic Algorithms -- Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals -- Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation -- A Rough Set Penalty Function for Marriage Selection in Multiple-Evaluation Genetic Algorithms -- Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example -- Rough Set Applications -- An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory -- Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items -- Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough Sets -- Using Rough Set Theory to Induce Pavement Maintenance and Rehabilitation Strategy -- Descent Rules for Championships -- Rough Neuro Voting System for Data Mining: Application to Stock Price Prediction -- Counting All Common Subsequences to Order Alternatives. | |
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aData mining. _93907 |
|
650 | 0 |
_aDatabase management. _93157 |
|
650 | 0 |
_aMachine theory. _9158010 |
|
650 | 0 |
_aComputer science. _99832 |
|
650 | 0 |
_aPattern recognition systems. _93953 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9158011 |
650 | 2 | 4 |
_aDatabase Management. _93157 |
650 | 2 | 4 |
_aFormal Languages and Automata Theory. _9158012 |
650 | 2 | 4 |
_aTheory of Computation. _9158013 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
700 | 1 |
_aYao, JingTao. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9158014 |
|
700 | 1 |
_aLingras, Pawan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9158015 |
|
700 | 1 |
_aWu, Wei-Zhi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9158016 |
|
700 | 1 |
_aSzczuka, Marcin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9158017 |
|
700 | 1 |
_aCercone, Nick. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9158018 |
|
700 | 1 |
_aSlezak, Dominik. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9158019 |
|
710 | 2 |
_aSpringerLink (Online service) _9158020 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540724575 |
776 | 0 | 8 |
_iPrinted edition: _z9783540838203 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4481 _9158021 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-72458-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c95325 _d95325 |