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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing : 12th International Conference, RSFDGrC 2009, Delhi, India, December 16-18, 2009, Proceedings / edited by Hiroshi Sakai, Mihir Chakraborty, Aboul-Ella Hassanien, Dominik Slezak, William Zhu.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Sakai, Hiroshi, editor.
Chakraborty, Mihir, editor.
Hassanien, Aboul Ella, editor.
Ślęzak, Dominik, editor.
Zhu, William, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 5908.
Lecture Notes in Artificial Intelligence ; 5908
Language:
English
Subjects (All):
Artificial intelligence.
Discrete mathematics.
Computer science--Mathematics.
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Artificial Intelligence.
Discrete Mathematics.
Mathematics of Computing.
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Local Subjects:
Artificial Intelligence.
Discrete Mathematics.
Mathematics of Computing.
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Physical Description:
1 online resource (XIII, 528 pages).
Edition:
First edition 2009.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009. RSFDGrC 2009 is the core component of a broader Rough Set Year in India initiative, RSIndia09. The 56 revised full papers presented together with 6 invited papers and a report on the Rough Set Year in India 2009 project were carefully reviewed and selected from a total of 130 submissions. The papers are organized in topical sections on foundations of rough sets and beyond; rought set algorithms and applications; fuzzy set foundations and applications; data mining and knowledge discovery; clustering and current trends in computing; and information retrieval and text mining.
Contents:
Plenary Papers and Reports
Affordance Relations
Discovering Concurrent Process Models in Data: A Rough Set Approach
Intelligent Science
Pattern Structures for Analyzing Complex Data
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
Innovation Game as a Tool of Chance Discovery
Rough Set Year in India 2009
Foundations of Rough Sets and Beyond
An Algebraic Semantics for the Logic of Multiple-Source Approximation Systems
Towards an Algebraic Approach for Cover Based Rough Semantics and Combinations of Approximation Spaces
New Approach in Defining Rough Approximations
Rough Set Approximations Based on Granular Labels
On a Criterion of Similarity between Partitions Based on Rough Set Theory
On Rough Sets with Structures and Properties
A Formal Concept Analysis Approach to Rough Data Tables
Covering Based Approaches to Rough Sets and Implication Lattices
A Logical Reasoning System of Before-after Relation Based on Bf-EVALPSN
Some Proof Theoretic Results Depending on Context from the Perspective of Graded Consequence
Rough Set Algorithms and Applications
IQuickReduct: An Improvement to Quick Reduct Algorithm
Dynamic Reduct from Partially Uncertain Data Using Rough Sets
Approximation of Loss and Risk in Selected Granular Systems
An Efficient Gene Selection Algorithm Based on Tolerance Rough Set Theory
Rough Set Based Social Networking Framework to Retrieve User-Centric Information
Use of Fuzzy Rough Set Attribute Reduction in High Scent Web Page Recommendations
A Rough Sets Approach for Personalized Support of Face Recognition
Taking Fuzzy-Rough Application to Mars
Rough Image Colour Quantisation
of Speech (POS) Tag Sets Reduction and Analysis Using Rough Set Techniques
Fuzzy Set Foundations and Applications
More on Intuitionistic Fuzzy Soft Sets
On Fuzzy Contra ?-Irresolute Maps
On Fuzzy Strongly ?-I-Open Sets
Lattice Structures of Rough Fuzzy Sets
Analysis of Ergodicity of a Fuzzy Possibilistic Markov Model
A Fuzzy Random Variable Approach to Restructuring of Rough Sets through Statistical Test
A New Approach for Solving Fuzzy Maximal Flow Problems
Peptic Ulcer Detection Using DNA Nanorobot Based on Fuzzy Logic Rules
Investigations on Benefits Generated By Using Fuzzy Numbers in A TOPSIS Model Developed For Automated Guided Vehicle Selection Problem
A Multi-criteria Interval-Valued Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method
Data Mining and Knowledge Discovery
The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems
Learning Player Behaviors in Real Time Strategy Games from Real Data
An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques
A Decision Making Model for Vendor-Buyer Inventory Systems
Software Reliability Prediction Using Group Method of Data Handling
Mining Temporal Patterns for Humanoid Robot Using Pattern Growth Method
Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step
Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model
A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions
Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards
Clustering and Current Trends in Computing
Interval Set Cluster Analysis: A Re-formulation
Rough Entropy Based k-Means Clustering
Fast Single-Link Clustering Method Based on Tolerance Rough Set Model
A Novel Possibilistic Fuzzy Leader Clustering Algorithm
Projected Gustafson Kessel Clustering
Improved Visual Clustering through Unsupervised Dimensionality Reduction
An Improved Cluster Oriented Fuzzy Decision Trees
Combining Naive-Bayesian Classifier and Genetic Clustering for Effective Anomaly Based Intrusion Detection
Ant Colony Optimisation Classification for Gene Expression Data Analysis
A Comparative Performance Analysis of Multiple Trial Vectors Differential Evolution and Classical Differential Evolution Variants
Information Retrieval and Text Mining
Granular Computing for Text Mining: New Research Challenges and Opportunities
Polarity Classification of Subjective Words Using Common-Sense Knowledge-Base
A Weighted Hybrid Fuzzy Result Merging Model for Metasearch
Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method
A Comparative Study of Pattern Matching Algorithms on Sequences
BPBM: An Algorithm for String Matching with Wildcards and Length Constraints.
Other Format:
Printed edition:
ISBN:
978-3-642-10646-0
9783642106460
Access Restriction:
Restricted for use by site license.

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