Information granularity, big data, and computational intelligence. ([2014])

• Record Type: Book
• Further Information: Note: Witold Pedrycz, Shyi-Ming Chen, editors.
• Editors: Pedrycz, Witold, 1953-; Chen, Shyi-Ming
• Contents: Preface; Contents; Fundamentals; 1 Nearest Neighbor Queries on Big Data; Abstract; 1 ... Introduction; 2 ... Background; 3 ... System Model and Problem Formulation; 4 ... Related Work; 4.1 KNN Queries on Static Data; 4.2 Continuous KNN Queries; 4.3 All-KNN Queries in Distributed Systems; 4.4 Shortcomings of Existing Work; 5 ... The Proximity Framework; 5.1 Outline of Operation; 5.2 Constructing the Search Space; 5.3 Specialized Heap: The K+-Heap; 5.4 Insertion into the K+-Heap (Algorithm 2 and 3); 5.5 Running Example; 5.6 Performance Analysis; 6 ... Summary and Future Vision; References. 2 Information Mining for Big InformationAbstract; 1 ... Introduction; 2 ... Information Mining in Knowledge Discovery from Data; 3 ... Strong Relevant Logic-Based Reasoning as an Information Mining Method; 3.1 Deduction, Induction, and Abduction in Information Mining; 3.2 Formal Logic System and Formal Theory; 3.3 Reasoning with Strong Relevant Logics; 4 ... Supporting Tools for Information Mining with Strong Relevant Logic-Based Reasoning; 4.1 Forward Reasoning Engine; 4.2 Truth Maintenance System; 4.3 Epistemic Programming; 5 ... Summary; References. 3 Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression AnalysisAbstract; 1 ... Introduction; 2 ... Some Related Studies; 2.1 Recall of Real-Time Data Analysis Processing; 2.2 Brief Review on Granular Information; 2.3 Genetically-Guided Clustering Algorithm; 2.4 A Brief Review of a Convex Hull Approach; 2.4.1 Affine, Convex Hull Definition and Supporting Hyperplane; 2.4.2 Beneath-Beyond Algorithm; 2.5 A Convex Hull-Based Regression; 3 ... A Real-Time Granular Based Fuzzy Regression Models with a Convex Hull Implementation; 4 ... A Numerical Example and Performance Analysis. 5 ... Conclusion and Future WorksAcknowledgments; References; 4 How to Understand Connections Based on Big Data: From Cliques to Flexible Granules; Abstract; 1 ... Understanding Connections Based on Big Data: An Important Practical Problem; 2 ... General Case: How to Describe Available Information; 3 ... A Known Semi-heuristic Method for Detecting True Connections Based on Big Data: A Brief Description; 4 ... Limitations of the Semi-heuristic Approach; 5 ... Analysis of the Problem and the Resulting Ideas and Formulas; 6 ... Towards an Algorithm; 7 ... Resulting Algorithm; 8 ... Conclusions; Acknowledgements; References. 5 Graph-Based Framework for Evaluating the Feasibility of Transition to MaintainomicsAbstract; 1 ... Introduction; 2 ... Background; 2.1 What is Maintenance?; 2.2 What is e-Maintenance?; 2.3 What is Big Data?; 2.4 What is Maintainomics?; 3 ... Problem Statement; 4 ... Proposed Methodology; 4.1 Background of Graph Theory; 4.2 Background of Feasibility Index of Transition; 4.2.1 Visualizing Enablers' Correlation via Digraph; 4.2.2 Interpreting Enablers' Digraph Through Matrix; 4.2.3 Establishing the Matrix's Permanent Function Expression; 4.2.4 Creating FIT Value Scale; 4.2.5 Comparison; 4.2.6 Summary.
• Publisher Details: Cham : Springer
• Publication Date: 2014
• Copyright Date: 2015
• Extent: 1 online resource (xi, 444 pages), illustrations (some color)
• Subjects: 006.3; Engineering; Granular computing; Big data; Computational intelligence; COMPUTERS -- General; Big data; Computational intelligence; Granular computing; Computers -- Intelligence (AI) & Semantics; Computers -- Electronic Commerce; Artificial intelligence; Business applications; Artificial intelligence; Electronic books
• Languages: English
• ISBNs: 9783319082547; 3319082531; 9783319082530
• Related ISBNs: 331908254X; 9783319082530
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed July 30, 2014).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.