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portada Introduction to Data Mining and Analytics
Type
Physical Book
Language
English
Pages
668
Format
Paperback
Dimensions
22.9x18.5x2.3 cm
Weight
0.90 kg.
ISBN13
9781284180909

Introduction to Data Mining and Analytics

Kris Jamsa (Author) · Jones & Bartlett Publishers · Paperback

Introduction to Data Mining and Analytics - Jamsa, Kris

New Book Imported to Netherlands
Delivery: 09 Sep - 11 Sep Shipping: 14 to 15 business days.
€ 189,25
Import costs and 9% BTW included in the price ✅
€ 189,25

Synopsis "Introduction to Data Mining and Analytics"

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 text 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, 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.

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