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130626 ||| eng |
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|a 9783540734512
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| 100 |
1 |
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|a Kryszkiewicz, Marzena
|e [editor]
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| 245 |
0 |
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|a Rough Sets and Intelligent Systems Paradigms
|h Elektronische Ressource
|b International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings
|c edited by Marzena Kryszkiewicz, James F. Peters, Henryk Rybinski
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| 250 |
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|a 1st ed. 2007
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2007, 2007
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| 300 |
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|a XIX, 836 p
|b online resource
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| 505 |
0 |
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|a A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL -- Filtering and Sophisticated Data Processing for Web Information Gathering -- An Investigation of Human Problem Solving System: Computation as an Example
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| 505 |
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|a Keynote Presentations -- Granular Computing and Rough Set Theory -- Dominance-Based Rough Set Approach to Reasoning About Ordinal Data -- Invited Papers -- Mining Numerical Data—A Rough Set Approach -- Rough Sets and Approximation Schemes -- Generalizing Data in Natural Language -- Hierarchical Rough Classifiers -- Discrete Duality and Its Applications to Reasoning with Incomplete Information -- Toward Approximate Adaptive Learning -- Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and Its Applications -- MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System -- Medical Reasoning and Rough Sets -- The Art of Granular Computing -- Dependencies in Structures of Decision Tables -- Foundations of Rough Sets -- Rough Sets and Vague Sets -- Consistency-Degree Between Knowledges -- On Three Closely Related Rough Inclusion Functions -- Rough Set Theory from a Math-Assistant Perspective --
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| 505 |
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|a Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete Systems -- On Covering Attribute Sets by Reducts -- Applying Rough Sets to Data Tables Containing Missing Values -- Category-Based Rough Induction -- Finding the Reduct Subject to Preference Order of Attributes -- Foundations and Applications of Fuzzy Sets -- Transformation of Fuzzy Takagi-Sugeno Models into Piecewise Affine Models -- Set Operations for L-Fuzzy Sets -- Linguistic Summarization of Time Series Under Different Granulation of Describing Features -- Type-2 Fuzzy Summarization of Data: An Improved News Generating -- Granular Computing -- A Note on Granular Sets and Their Relation to Rough Sets -- Inference and Reformation in Flow Graphs Using Granular Computing -- On Granular Rough Computing with Missing Values -- On Granular RoughComputing: Factoring Classifiers Through Granulated Decision Systems -- A Rough Set Based Map Granule --
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| 505 |
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|a Modeling of High Quality Granules -- Algorithmic Aspects of Rough Sets -- Attribute Core Computation Based on Divide and Conquer Method -- Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute -- A Simple Reduction Analysis and Algorithm Using Rough Sets -- Rough Set Applications (Invited) -- Mining Mass Spectrometry Database Search Results—A Rough Set Approach -- Rough Set Approach to Spam Filter Learning -- Web-Based Support Systems with Rough Set Analysis -- Interpreting Low and High Order Rules: A Granular Computing Approach -- Rough - Fuzzy Approach -- Attribute Reduction Based on Fuzzy Rough Sets -- On Logic with Fuzzy and Rough Powerset Monads -- A Grey-Rough Set Approach for Interval Data Reduction of Attributes -- Information Systems and Rough Sets (Invited) -- Minimal Templates and Knowledge Discovery -- Universal Attribute Reduction Problem -- Applying Rough Set Theory to Medical Diagnosing --
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| 505 |
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|a Combining Answers of Sub-classifiers in the Bagging-Feature Ensembles -- Hybrid Methods and Applications -- Monotonic Behavior of Entropies and Co–entropies for Coverings with Respect to Different Quasi–orderings -- Design and Implementation of Rough Rules Generation from Logical Rules on FPGA Board -- A Computationally Efficient Nonlinear Predictive Control Algorithm with RBF Neural Models and Its Application -- Operations on Interval Matrices -- The Diffie–Hellman Problem in Lie Algebras -- Software Defect Classification: A Comparative Study with Rough Hybrid Approaches -- Dimensionality Reduction Using Rough Set Approach for Two Neural Networks-Based Applications -- Decision Tables in Petri Net Models -- Two Types of Generalized Variable Precision Formal Concepts -- Multiagent Systems -- Dynamics of Approximate Information Fusion -- Coevolution of a Fuzzy Rule Base for Classification Problems -- Towards Agent-Based Evolutionary Planning in Transportation Systems --
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| 505 |
0 |
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|a Exploiting Rough Argumentation in an Online Dispute Resolution Mediator -- Semantic Service Discovery with QoS Measurement in Universal Network -- Applications in Bioinformatics and Medicine -- Rough Sets in the Interpretation of Statistical Tests Outcomes for Genes Under Hypothetical Balancing Selection -- Indiscernibility Relation for Continuous Attributes: Application in Image Recognition -- Clustering of Leaf-Labelled Trees on Free Leafset -- Checking Brain Expertise Using Rough Set Theory -- Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets -- An Improved SVM Classifier for Medical Image Classification.-Multimedia Applications -- Searching for Metric Structure of Musical Files -- Parameter-Based Categorization for Musical Instrument Retrieval -- Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets -- Web Reasoning and Human Problem Solving (Invited) --
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| 505 |
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|a Graph-Based Knowledge Representations for Decision Support Systems -- Rough Sets in Oligonucleotide Microarray Data Analysis -- From an Information System to a Decision Support System -- Data and Text Mining -- Optimization for MASK Scheme in Privacy Preserving Data Mining for Association Rules -- Frequent Events and Epochs in Data Stream -- Memory Efficient Algorithm for Mining Recent Frequent Items in a Stream -- Outlier Detection: An Approximate Reasoning Approach -- Discovering Compound and Proper Nouns -- Discovering Synonyms Based on Frequent Termsets -- A Summary Structure of Data Cube Preserving Semantics -- Mining Association Rules with Respect to Support and Anti-support-Experimental Results -- Developing Data Warehouse for Simulation Experiments.-Machine Learning -- Classification of Complex Structured Objects on the Base of Similarity Degrees -- Application of Parallel Decomposition for Creation of Reduced Feed-Forward Neural Networks --
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| 653 |
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|a Computer science
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Formal Languages and Automata Theory
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| 653 |
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|a Database Management
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| 653 |
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|a Data mining
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| 653 |
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|a Machine theory
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 653 |
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|a Theory of Computation
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| 653 |
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|a Automated Pattern Recognition
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| 653 |
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|a Database management
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| 653 |
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|a Pattern recognition systems
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| 700 |
1 |
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|a Peters, James F.
|e [editor]
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| 700 |
1 |
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|a Rybinski, Henryk
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Artificial Intelligence
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| 028 |
5 |
0 |
|a 10.1007/978-3-540-73451-2
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-73451-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
|