Introduction to Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation. With a dual focus on concepts and operations, this textbook comprises a complete how-to and is an excellent resource for anyone considering the field. Case studies and hands-on activities incorporate real-world data sets and allow students ...
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Introduction to Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation. With a dual focus on concepts and operations, this textbook comprises a complete how-to and is an excellent resource for anyone considering the field. Case studies and hands-on activities incorporate real-world data sets and allow students the opportunity to exercise their new skills. Our Cloud Desktop integrates popular data mining tools, giving students a valuable familiarity with industry-standard applications. After defining the concepts of data mining and machine learning, Introduction to Data Mining and Analytics delves into the types of databases, their respective relevance and popularity, and the trends that affect their use. The importance of data visualization for communication purposes is explored, as are the processes of data cleansing, clustering, and classification. Excel, SQL, NoSQL, Python, and R programming all receive in-depth treatments, supplemented with hands-on exercises. Operations covered in earlier chapters are given real-world context through a practical application to the current issues of "big data" and of text and image data mining. The text concludes by describing an analyst's steps from planning through execution, ensuring that readers gain the technical know-how to launch, lead, or support a data project in the workplace. Downloadable Data Sets (c) 2021 668 pages
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Add this copy of Introduction to Data Mining and Analytics to cart. £134.85, new condition, Sold by Books2anywhere rated 5.0 out of 5 stars, ships from Fairford, GLOUCESTERSHIRE, UNITED KINGDOM, published 2020 by Jones & Bartlett Publishers.
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New. Trade paperback (US). Glued binding. 668 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Introduction to Data Mining and Analytics to cart. £121.63, like new condition, Sold by GreatBookPricesUK5 rated 4.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2020 by Jones & Bartlett Publishers.
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Fine. Trade paperback (US). Glued binding. 668 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Introduction to Data Mining and Analytics to cart. £145.37, new condition, Sold by Kennys.ie rated 4.0 out of 5 stars, ships from Galway, IRELAND, published 2020 by Jones & Bartlett Publishers.
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Very good. Trade paperback (US). Glued binding. 668 p. Audience: General/trade. #162 Text appears clean but may have marks/highlights. It has Unopened Access Code, but won't guarantee it works, some wear to cover/edges. No loose pages
Add this copy of Introduction to Data Mining and Analytics to cart. £65.18, fair condition, Sold by Dream Books Co. rated 5.0 out of 5 stars, ships from Denver, CO, UNITED STATES, published 2020 by Jones & Bartlett Learning.
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Fair. This copy has clearly been enjoyed-expect noticeable shelf wear and some minor creases to the cover. Binding is strong and all pages are legible. May contain previous library markings or stamps.
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