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- Author: Khusboo Saxena
- Publisher: BPB Publications
- ISBN-10: 8183335462
- ISBN-13: 9788183335461
- Format: 15.2 x 22.9 x 0.7 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Description: The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity on the topic, diagrams are given extensively throughout the text. The book discusses design issues for phases of mining in substantial depth. The stress is more on problem solving. Various Comprehensive coverage of various aspects of Data Mining and Warehousing concepts Strictly in accordance for the syllabus covered under B.E./B.Tech/MCA Simple language, crystal clear approach, straight forward comprehensible presentation Adopting user friendly classroom lecture style The concepts are duly supported by sever examples Syllabus coverage of three universities UPTU, RTU and RGPV Table Of Contents: Chapter 1: Introduction To Data Mining Chapter 2: Concept Description Chapter 3: Association Rule Mining Chapter 4: Classification and Predictions Chapter 5: Cluster Analysis Chapter 6: Introduction to Data Warehouse Chapter 7: OLAP Technology Chapter 8: Advance Topic On Data Mining and Warehousing
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Khusboo Saxena
- Publisher: BPB Publications
- ISBN-10: 8183335462
- ISBN-13: 9788183335461
- Format: 15.2 x 22.9 x 0.7 cm, minkšti viršeliai
- Language: English English
Description: The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity on the topic, diagrams are given extensively throughout the text. The book discusses design issues for phases of mining in substantial depth. The stress is more on problem solving. Various Comprehensive coverage of various aspects of Data Mining and Warehousing concepts Strictly in accordance for the syllabus covered under B.E./B.Tech/MCA Simple language, crystal clear approach, straight forward comprehensible presentation Adopting user friendly classroom lecture style The concepts are duly supported by sever examples Syllabus coverage of three universities UPTU, RTU and RGPV Table Of Contents: Chapter 1: Introduction To Data Mining Chapter 2: Concept Description Chapter 3: Association Rule Mining Chapter 4: Classification and Predictions Chapter 5: Cluster Analysis Chapter 6: Introduction to Data Warehouse Chapter 7: OLAP Technology Chapter 8: Advance Topic On Data Mining and Warehousing
Reviews