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Computational Intelligence for Knowledge-Based System Design

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The International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU, is organize... Weiterlesen
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Beschreibung

The International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the m- agement of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas th between theoreticians and practitioners working in these areas. The 13 IPMU conference took place in Dortmund, Germany, June 28 July 2, 2010. This volumecontains77papersselectedthrougharigorousreviewingprocess among 320 submissions from 36 countries. The contributions re?ect the richness of research in the ?eld of computational intelligence and represent several - portant developments, speci?cally focused on the following sub?elds: (a) machine learning, data mining, and pattern recognition, (b) uncertainty handling, (c) aggregation and fusion of information, (d) logic and knowledge processing. We were delighted that Melanie Mitchell (Portland State University, USA), NihkilR.Pal(IndianStatisticalInstitute),BernhardSch olkopf(MaxPlanckI- titute for Biological Cybernetics, Tubing en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc ken) accepted our invitationstopresentkeynotelectures.JimBezdekreceivedtheKamp edeF eriet Award,grantedeverytwo yearsonthe occasionofthe IPMUconference,in view ofhiseminentresearchcontributionstothehandlingofuncertaintyinclustering, data analysis and pattern recognition.

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Autorentext
Prof. Dr. Rudolf Kruse ist Leiter des Lehrstuhls für Neuro-Fuzzy-Systeme an der Universität Magdeburg.

Klappentext

The book constitutes the refereed proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2010, held in Dortmund, Germany from June 28 - July 2, 2010. The 77 revised full papers were carefully reviewed and selected from 320 submissions and reflect the richness of research in the field of Computational Intelligence and represent developments on topics as: machine learning, data mining, pattern recognition, uncertainty handling, aggregation and fusion of information as well as logic and knowledge processing.



Inhalt
Machine Learning and Data Mining.- Towards a Conscious Choice of a Fuzzy Similarity Measure: A Qualitative Point of View.- A Stochastic Treatment of Similarity.- Order-Based Equivalence Degrees for Similarity and Distance Measures.- Comparing Partitions by Subset Similarities.- Finitely Valued Indistinguishability Operators.- Discovering Rules-Based Similarity in Microarray Data.- Fuzzy Clustering of Incomplete Data Based on Cluster Dispersion.- Automatic Detection of Active Region on EUV Solar Images Using Fuzzy Clustering.- On Dynamic Soft Dimension Reduction in Evolving Fuzzy Classifiers.- Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.- Probabilistic Rough Set Approaches to Ordinal Classification with Monotonicity Constraints.- Web Page Classification: A Probabilistic Model with Relational Uncertainty.- Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels.- A K-Nearest Neighbours Method Based on Lower Previsions.- Fuzzy Probabilities: Tentative Discussions on the Mathematical Concepts.- On Dealing with Imprecise Information in a Content Based Image Retrieval System.- An Extension of Stochastic Dominance to Fuzzy Random Variables.- Correlation of Intuitionistic Fuzzy Sets.- A Correlation Ratio for Possibility Distributions.- On Nonparametric Predictive Inference for Ordinal Data.- Using Cloudy Kernels for Imprecise Linear Filtering.- Peakedness and Generalized Entropy for Continuous Density Functions.- The Most Representative Utility Function for Non-Additive Robust Ordinal Regression.- Alternative Normalization Schemas for Bayesian Confirmation Measures.- Gender and Age Estimation from Synthetic Face Images.- Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity.- Possibility Theory and Formal Concept Analysis: Context Decomposition and Uncertainty Handling.- A Parallel between Extended Formal Concept Analysis and Bipartite Graphs Analysis.- Negotiation as Creative Social Interaction Using Concept Hierarchies.- Estimating Top-k Destinations in Data Streams.- A Data Mining Algorithm for Inducing Temporal Constraint Networks.- Analysis of the Time Evolution of Scientograms Using the Subdue Graph Mining Algorithm.- Short-Time Prediction Based on Recognition of Fuzzy Time Series Patterns.- Time Series Comparison Using Linguistic Fuzzy Techniques.- Granular Approach for Evolving System Modeling.- Data Mining in Precision Agriculture: Management of Spatial Information.- Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis.- Dispersion Estimates for Telecommunications Fraud.- The Link Prediction Problem in Bipartite Networks.- Aggregation and Fusion.- Symmetrization of Modular Aggregation Functions.- Smooth Aggregation Functions on Finite Scales.- Dual Representable Aggregation Functions and Their Derived S-Implications.- Aggregation Functions with Stronger Types of Monotonicity.- Some Remarks on the Characterization of Idempotent Uninorms.- On the Median and Its Extensions.- Evidential Combination of Multiple HMM Classifiers for Multi-script Handwritting Recognition.- Using Uncertainty Information to Combine Soft Classifications.- Performance Evaluation of a Fusion System Devoted to Image Interpretation.- A New Adaptive Consensus Reaching Process Based on the Experts' Importance.- On the Robustness for the Choquet Integral.- Explicit Descriptions of Bisymmetric Sugeno Integrals.- Learning Fuzzy-Valued Fuzzy Measures for the Fuzzy-Valued Sugeno Fuzzy Integral.- Choquet Integration on Set Systems.- Necessity-Based Choquet Integrals for Sequential Decision Making under Uncertainty.- A Fuzzy-Rule-Based Approach to Contextual Preference Queries.- Extracting and Modelling Preferences from Dialogue.- Argumentation Framework with Fuzzy Preference Relations.- An Algorithm for Generating Consistent and Transitive Approximations of Reciprocal Preference Relations.- Preference Modeling and Model Management for Interactive Multi-objective Evolutionary Optimization.- Dominance-Based Rough Set Approach to Preference Learning from Pairwise Comparisons in Case of Decision under Uncertainty.- Uncertainty Handling.- Trimming Plethoric Answers to Fuzzy Queries: An Approach Based on Predicate Correlation.- Searching Aligned Groups of Objects with Fuzzy Criteria.- How to Translate Words into Numbers? A Fuzzy Approach for the Numerical Translation of Verbal Probabilities.- Plateau Regions: An Implementation Concept for Fuzzy Regions in Spatial Databases and GIS.- Genuine Linguistic Fuzzy Logic Control: Powerful and Successful Control Method.- Cytoplasm Contour Approximation Based on Color Fuzzy Sets and Color Gradient.- Keeping Secrets in Possibilistic Knowledge Bases with Necessity-Valued Privacy Policies.- Inference with Fuzzy and Probabilistic Information.- Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever.- An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data.- Conflicts within and between Belief Functions.- Consonant Continuous Belief Functions Conflicts Calculation.- Credal Sets Approximation by Lower Probabilities: Application to Credal Networks.- Rule Discovery Process Based on Rough Sets under the Belief Function Framework.- Independent Natural Extension.- On Elementary Extensions in Fuzzy Predicate Logics.- Logical Proportions Typology and Roadmap.

Produktinformationen

Titel: Computational Intelligence for Knowledge-Based System Design
Untertitel: 13th IPMU Conference, Dortmund, Germany, June 28 - July 2, 2010. Proceedings
Editor:
EAN: 9783642140488
ISBN: 3642140483
Format: Kartonierter Einband
Herausgeber: Springer-Verlag GmbH
Genre: Informatik
Anzahl Seiten: 771
Gewicht: 1177g
Größe: H235mm x B155mm x T42mm
Jahr: 2010
Untertitel: Englisch
Auflage: 2010

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