Data Mining and Data Warehousing : Principles and Practical Techniques / Parteek Bhatia.
Material type: TextPublisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019Description: xxxiv, 477 pages : illustrations (some color) ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781108727747Subject(s): Data mining -- Textbooks | Data warehousing -- TextbooksDDC classification: 006.3/12 LOC classification: QA76.9.D343 | B435 2019Summary: "This textbook is written to cater to the needs of undergraduate students of computer science, engineering, and information technology for a course on data mining and data warehousing. It brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models, and NoSQL are discussed in detail. Unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding"-- Provided by publisher.Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General book | Karen | QA76.9.D343 B435 2019 (Browse shelf(Opens below)) | 1 | Available | 2023-0289 | |
General book | Karen | QA76.9.D343 B435 2019 (Browse shelf(Opens below)) | 2 | Available | 2023-0290 |
Browsing Karen shelves Close shelf browser (Hides shelf browser)
QA76.9.D3 V563 2001 Microsoft Access VBA Programming for the Absolute Beginner / | QA76.9.D3 V563 2002 Microsoft Access VBA Programming for the Absolute Beginner / | QA76.9.D343 B435 2019 Data Mining and Data Warehousing : Principles and Practical Techniques / | QA76.9.D343 B435 2019 Data Mining and Data Warehousing : Principles and Practical Techniques / | QA76.9.D343 .F73 2015 Mastering Apacha Spark Gain Expertise in Processing and Storing Data by Using Advanced Techniques with Apache Spark | QA76.9.D343 .F73 2015 Mastering Apacha Spark Gain Expertise in Processing and Storing Data by Using Advanced Techniques with Apache Spark | QA76.9.D343 M439 2004 Homeland Security Techniques and Technologies / |
Includes bibliographical references and index.
"This textbook is written to cater to the needs of undergraduate students of computer science, engineering, and information technology for a course on data mining and data warehousing. It brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models, and NoSQL are discussed in detail. Unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding"-- Provided by publisher.
There are no comments on this title.