Navigate data mining with a six-step spiral process.
If you're looking to dive into data mining without getting swamped in technical jargon, "Practical Data Mining" is your ally. It's like having an expert by your side, transforming the complex into a structured, understandable process. With case studies and checklists, this book provides a hands-on guide to execute data mining projects, making it invaluable for IT consultants, data analysts, and tech-savvy business professionals eager to make data-driven decisions.
ISBN: 9781439868362
Authors:
Jr. Monte F. Hancock
Publisher: Auerbach Publications
Date of Publication: 2011-12-19
Format: Paperback
Related Topics:
How To,
Productivity,
Mathematics,
Popular Science,
Business,
Management,
Computers,
Technology
Goodreads rating: 3.67
(rated by 3 readers)
Description
Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process. Catering to IT consultants, professional data analysts, and sophisticated data owners, this systematic, yet informal treatment will help readers answer questions. Helping you avoid common mistakes, the book describes specific genres of data mining practice. Most chapters contain one or more case studies with detailed project descriptions, methods used, challenges encountered, and results obtained. The book includes working checklists for each phase of the data mining process. Your passport to successful technical and planning discussions with management, senior scientists, and customers, these checklists lay out the right questions to ask and the right points to make from an insider’s point of view. Sorry! Book description for this title is not available.
Condition guide
Book Condition Guide
Books in Like New Condition
This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!
*Books may be missing bundle media (e.g. CD, e-book code), if included.
Books in Very Good Condition
This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
Books in Good Condition
We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
Books in Well Read Condition
This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
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Navigate data mining with a six-step spiral process.
If you're looking to dive into data mining without getting swamped in technical jargon, "Practical Data Mining" is your ally. It's like having an expert by your side, transforming the complex into a structured, understandable process. With case studies and checklists, this book provides a hands-on guide to execute data mining projects, making it invaluable for IT consultants, data analysts, and tech-savvy business professionals eager to make data-driven decisions.
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