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The Resource Transactions on rough sets V, James F. Peters, Andrzej Skowron (eds.), (electronic resource)
Transactions on rough sets V, James F. Peters, Andrzej Skowron (eds.), (electronic resource)
Resource Information
The item Transactions on rough sets V, James F. Peters, Andrzej Skowron (eds.), (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Transactions on rough sets V, James F. Peters, Andrzej Skowron (eds.), (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
- Summary
- The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This book, which constitutes the fifth volume of the Transactions on Rough Sets series, is dedicated to the monumental life, work and creative genius of Zdzislaw Pawlak, the originator of rough sets, who passed away in April 2006. It opens with a commemorative article that gives a brief coverage of Pawlak's works in rough set theory, molecular computing, philosophy, painting and poetry. Fifteen papers explore the theory of rough sets in various domains as well as new applications of rough sets. In addition, this volume of the TRS series includes a complete monograph on rough sets and approximate Boolean reasoning systems that covers both the foundations and the applications of data mining
- Language
- eng
- Extent
- 1 online resource (x, 506 p.)
- Contents
-
- Commemoration
- Zdzis?aw Pawlak: Life and Work
- Regular Papers
- Rough Belief Change
- Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning
- Matching 2D Image Segments with Genetic Algorithms and Approximation Spaces
- An Efficient Algorithm for Inference in Rough Set Flow Graphs
- Intelligent Algorithms for Movie Sound Tracks Restoration
- Rough Set-Based Application to Recognition of Emotionally-Charged Animated Character’s Gestures
- Introducing a Rule Importance Measure
- Variable Precision Bayesian Rough Set Model and Its Application to Kansei Engineering
- P300 Wave Detection Based on Rough Sets
- Multimodal Classification: Case Studies
- Arrow Decision Logic for Relational Information Systems
- On Generalized Rough Fuzzy Approximation Operators
- Rough Set Approximations in Formal Concept Analysis
- Motion-Information-Based Video Retrieval System Using Rough Pre-classification
- Dissertations and Monographs
- Approximate Boolean Reasoning: Foundations and Applications in Data Mining
- Isbn
- 9783540393832
- Label
- Transactions on rough sets V
- Title
- Transactions on rough sets V
- Statement of responsibility
- James F. Peters, Andrzej Skowron (eds.)
- Subject
-
- Algebra, Boolean
- Algebra, Boolean
- Artificial Intelligence (incl. Robotics)
- Computation by Abstract Devices
- Computer Science
- Data mining
- Data mining
- Database Management
- Electronic resources
- Image Processing and Computer Vision
- Informatique
- Mathematical Logic and Formal Languages
- Rough sets
- Rough sets
- Language
- eng
- Summary
- The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This book, which constitutes the fifth volume of the Transactions on Rough Sets series, is dedicated to the monumental life, work and creative genius of Zdzislaw Pawlak, the originator of rough sets, who passed away in April 2006. It opens with a commemorative article that gives a brief coverage of Pawlak's works in rough set theory, molecular computing, philosophy, painting and poetry. Fifteen papers explore the theory of rough sets in various domains as well as new applications of rough sets. In addition, this volume of the TRS series includes a complete monograph on rough sets and approximate Boolean reasoning systems that covers both the foundations and the applications of data mining
- Cataloging source
- GW5XE
- Image bit depth
- 0
- LC call number
- QA248
- LC item number
- .T736 v.5eb
- Literary form
- non fiction
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
- SpringerLink
- Series statement
- Lecture Notes in Computer Science,
- Series volume
- 4100
- http://library.link/vocab/subjectName
-
- Rough sets
- Algebra, Boolean
- Data mining
- Computer Science
- Artificial Intelligence (incl. Robotics)
- Computation by Abstract Devices
- Database Management
- Image Processing and Computer Vision
- Mathematical Logic and Formal Languages
- Algebra, Boolean
- Data mining
- Rough sets
- Informatique
- Label
- Transactions on rough sets V, James F. Peters, Andrzej Skowron (eds.), (electronic resource)
- Antecedent source
- mixed
- Bibliography note
- Includes bibliographical references and index
- Color
- not applicable
- Contents
- Commemoration -- Zdzis?aw Pawlak: Life and Work -- Regular Papers -- Rough Belief Change -- Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning -- Matching 2D Image Segments with Genetic Algorithms and Approximation Spaces -- An Efficient Algorithm for Inference in Rough Set Flow Graphs -- Intelligent Algorithms for Movie Sound Tracks Restoration -- Rough Set-Based Application to Recognition of Emotionally-Charged Animated Character’s Gestures -- Introducing a Rule Importance Measure -- Variable Precision Bayesian Rough Set Model and Its Application to Kansei Engineering -- P300 Wave Detection Based on Rough Sets -- Multimodal Classification: Case Studies -- Arrow Decision Logic for Relational Information Systems -- On Generalized Rough Fuzzy Approximation Operators -- Rough Set Approximations in Formal Concept Analysis -- Motion-Information-Based Video Retrieval System Using Rough Pre-classification -- Dissertations and Monographs -- Approximate Boolean Reasoning: Foundations and Applications in Data Mining
- Dimensions
- unknown
- Extent
- 1 online resource (x, 506 p.)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Isbn
- 9783540393832
- Level of compression
- uncompressed
- Other control number
- 10.1007/11847465
- Other physical details
- ill.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- Stock number
- 978-3-540-39382-5
- System control number
-
- (OCoLC)262687293
- (OCoLC)ocn262687293
- (DE-He213)11847465
- Label
- Transactions on rough sets V, James F. Peters, Andrzej Skowron (eds.), (electronic resource)
- Antecedent source
- mixed
- Bibliography note
- Includes bibliographical references and index
- Color
- not applicable
- Contents
- Commemoration -- Zdzis?aw Pawlak: Life and Work -- Regular Papers -- Rough Belief Change -- Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning -- Matching 2D Image Segments with Genetic Algorithms and Approximation Spaces -- An Efficient Algorithm for Inference in Rough Set Flow Graphs -- Intelligent Algorithms for Movie Sound Tracks Restoration -- Rough Set-Based Application to Recognition of Emotionally-Charged Animated Character’s Gestures -- Introducing a Rule Importance Measure -- Variable Precision Bayesian Rough Set Model and Its Application to Kansei Engineering -- P300 Wave Detection Based on Rough Sets -- Multimodal Classification: Case Studies -- Arrow Decision Logic for Relational Information Systems -- On Generalized Rough Fuzzy Approximation Operators -- Rough Set Approximations in Formal Concept Analysis -- Motion-Information-Based Video Retrieval System Using Rough Pre-classification -- Dissertations and Monographs -- Approximate Boolean Reasoning: Foundations and Applications in Data Mining
- Dimensions
- unknown
- Extent
- 1 online resource (x, 506 p.)
- File format
- multiple file formats
- Form of item
-
- online
- electronic
- Isbn
- 9783540393832
- Level of compression
- uncompressed
- Other control number
- 10.1007/11847465
- Other physical details
- ill.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- Stock number
- 978-3-540-39382-5
- System control number
-
- (OCoLC)262687293
- (OCoLC)ocn262687293
- (DE-He213)11847465
Subject
- Algebra, Boolean
- Algebra, Boolean
- Artificial Intelligence (incl. Robotics)
- Computation by Abstract Devices
- Computer Science
- Data mining
- Data mining
- Database Management
- Electronic resources
- Image Processing and Computer Vision
- Informatique
- Mathematical Logic and Formal Languages
- Rough sets
- Rough sets
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/portal/Transactions-on-rough-sets-V-James-F.-Peters/redLFme_-xE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/Transactions-on-rough-sets-V-James-F.-Peters/redLFme_-xE/">Transactions on rough sets V, James F. Peters, Andrzej Skowron (eds.), (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>