{"product_id":"data-mining-and-data-warehousing-principles-and-practical-techniques-paperback-softback-9781108727747","title":"Data Mining and Data Warehousing; Principles and Practical Techniques (Paperback \/ softback) 9781108727747","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eData Mining and Data Warehousing\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003ePrinciples and Practical Techniques\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eProvides a comprehensive textbook covering theory and practical examples for a course on data mining and data warehousing.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eParteek Bhatia (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781108727747, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 27 June 2019\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e506 pages\u003cbr\u003e24.1 x 18.3 x 2 cm, 0.66 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eWritten in lucid language, this valuable textbook 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 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. 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. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e Acknowledgement\u003cbr\u003e Dedication\u003cbr\u003e 1. Beginning with machine learning\u003cbr\u003e 2. Introduction to data mining\u003cbr\u003e 3. Beginning with Weka and R language\u003cbr\u003e 4. Data pre-processing\u003cbr\u003e 5. Classification\u003cbr\u003e 6. Implementing classification in Weka and R\u003cbr\u003e 7. Cluster analysis\u003cbr\u003e 8. Implementing clustering with Weka and R\u003cbr\u003e 9. Association mining\u003cbr\u003e 10. Implementing association mining with Weka and R\u003cbr\u003e 11. Web mining and search engine\u003cbr\u003e 12. Operational data store and data warehouse\u003cbr\u003e 13. Data warehouse schema\u003cbr\u003e 14. Online analytical processing\u003cbr\u003e 15. Big data and NoSQL\u003cbr\u003e Reference\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Pattern recognition [\u003ca title=\"See our other books on Pattern recognition\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Pattern%20recognition%20%5BUYQP%5D%22\"\u003eUYQP\u003c\/a\u003e], Machine learning [\u003ca title=\"See our other books on Machine learning\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Machine%20learning%20%5BUYQM%5D%22\"\u003eUYQM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52472130076952,"sku":"9781108727747","price":55.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781108727747i.jpg?v=1785718475","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/data-mining-and-data-warehousing-principles-and-practical-techniques-paperback-softback-9781108727747","provider":"Freshly Printed Books","version":"1.0","type":"link"}