Data Mining : Technologies, Techniques, Tools, and Trends /: Technologies, Techniques, Tools, and Trends. (2014)

• Record Type: Book
• Further Information: Note: Bhavani Thuraisingham.
• Authors: Thuraisingham, Bhavani
• Contents: Cover; Half title; Copy right; Preface; About the Author; Dedication; TABLE OF CONTENTS; Chapter 1. Introduction; 1.1 What is Data Mining; 1.2 Data Mining Technologies; 1.3 Concepts and Techniques in Data Mining; 1.4 Directions and Trends in Data Mining; 1.5 Organization of this Book; 1.6 Additional Discussion of the Contents; 1.7 How Do We Proceed; Part I. Technologies for Data Mining; Introduction to Part I; Chapter 2. Database Systems; 2.1 Overview; 2.2 Data Models; 2.2.1 Overview; 2.2.2 Relational Data Model; 2.2.3 Entity-Relationship Data Model; 2.2.4 Object-Oriented Data Model 2.2.5 Object Relational Data Model2.2.6 Logic-Based Data Model; 2.3 Architectural Issues; 2.4 Database Design; 2.5 Database Administration; 2.6 Database Management System Functions; 2.6.1 Overview; 2.6.2 Query Processing; 2.6.3 Transaction Management; 2.6.4 Storage Management; 2.6.5 Metadata Management; 2.6.6 Database Integrity; 2.6.7 Database Security; 2.6.8 Fault Tolerance; 2.7 Database Systems and Mining; 2.7.1 Overview; 2.7.2 Architectural, Modeling, Design and Administration Aspects; 2.7.3 Data Mining and Database Functions; 2.8 Summary; Chapter 3. Data Warehousing; 3.1 Overview 3.2 Technologies for Data Warehousing3.3 Developing the Data Warehouse; 3.4 Data Warehousing and Data Mining; 3.5 Summary; Chapter 4. Some Other Technologies for Data Mining 6S 4.1 Overview; 4.2 Statistical Reasoning; 4.3 Machine Learning; 4.4 Visualization; 4.5 Parallel Processing; 4.6 Decision Support; 4.7 Summary; Chapter 5. Architectural Support for Data Mining; 5.1 Overview; 5.2 Integration with Other Technologies; 5.3 Functional Architecture; 5.4 System Architecture; 5.4.1 Overview; 5.4.2 Client-Server Technology; 5.4.3 Relationship to Mining; 5.5 Summary; Conclusion to Part I Part II. Techniques and Tools for Data MiningIntroduction to Part II; Chapter 6. The Process of Data Mining; 6.1 Overview; 6.2 Examples; 6.3 Why Data Mining; 6.4 Steps to Data Mining; 6.5 Challenges; 6.6 User Interface Aspects; 6.7 Summary; Chapter 7. Data Mining Outcomes, Approaches, and Techniques; 7.1 Overview; 7.2 Outcomes of Data Mining; 7.3 Approaches to Data Mining; 7.4 Data Mining Techniques and Algorithms; 7.5 Summary; Chapter 8. Logic Programming as a Data Mining Technique; 8.1 Overview; 8.2 Deductive Logic Programming; 8.3 Inductive Logic Programming 8.4 Inductive Logic Programming for Data Mining8.5 Applications of Inductive Logic Programming; 8.6 Summary; Chapter 9. Data Mining Tools; 9.1 Overview; 9.2 Prototypes; 9.2.1 Overview; 9.2.2 New Functional Models; 9.2.3 New Information Services; 9.2.4 Scalability; 9.2.5 Understandability of Results; 9.2.6 Large-Scale Projects; 9.2 Commercial Tools; 9.3.1 Overview; 9.3.2 Product 1; 9.3.3 Product 2; 9.3.4 Product 3; 9.3.5 Product 4; 9.3.6 Product 5; 9.3 Summary; Conclusion to Part II; Part III. Trends in Data Mining; Introduction to Part III
• Publisher Details: Boca Raton, FL : CRC Press
• Publication Date: 2014
• Extent: 1 online resource
• Subjects: 006.3; Data mining; Electronic data processing -- Data preparation; Information technology -- Management; Economics -- Statistical methods; Commercial statistics; Commercial statistics; Data mining; Economics -- Statistical methods; Electronic data processing -- Data preparation; Information technology -- Management; Electronic books
• Languages: English
• ISBNs: 9781482252507; 1482252503
• 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.