Granular-relational data mining : how to mine relational data in the paradigm of granular computing? /: how to mine relational data in the paradigm of granular computing?. (2017)

• Record Type: Book
• Further Information: Note: Piotr Hońko.
• Authors: Hońko, Piotr
• Contents: Preface -- Chapter 1: Introduction -- Part I: Generalized Related Set Based Approach -- Chapter 2: Information System for Relational Data -- Chapter 3: Properties of Granular-Relational Data Mining Framework -- Chapter 4: Association Discovery and Classification Rule Mining -- Chapter 5: Rough-Granular Computing -- Part II: Description Language Based Approach -- Chapter 6: Compound Information Systems -- Chapter 7: From Granular-Data Mining Framework to its Relational Version -- Chapter 8: Relation-Based Granules -- Chapter 9: Compound Approximation Spaces -- Conclusions -- References -- Index.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource (xv, 123 pages), illustrations
• Subjects: 006.3/12; Engineering; Data mining; Granular computing; Data mining; Granular computing; Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Artificial intelligence; Electronic books
• Languages: English
• ISBNs: 9783319527512; 3319527517
• Related ISBNs: 9783319527505; 3319527509
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed February 10, 2017).
• 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.