Pre-Owned Discovering Knowledge in Data: An Introduction to Data Mining (Hardcover) 0470908742 9780470908747

Name: Pre-Owned Discovering Knowledge in Data: An Introduction to Data Mining (Hardcover) 0470908742 9780470908747
Brand: Wiley X
SKU: 2686931474
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Pre-Owned Discovering Knowledge in Data: An Introduction to Data Mining (Hardcover) 0470908742 9780470908747 Discovering Knowledge in Data An Introduction to Data Mining 4 Wiley Series on Methods and Applications in Data Mining Hardcover

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Title: Discovering Knowledge in Data: An Introduction to Data Mining
Book Format: Hardcover
ISBN10: 0470908742
EAN: 9780470908747
Genre: COMPUTERS / Databases / Data Mining
Author: Larose, Daniel T.; Larose, Chantal D.
Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.

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Book format
Hardcover
Fiction/nonfiction
Non-Fiction
Genre
Nonfiction
Publication date
July, 2014
Pages
336
Number in series
4

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The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before.

This book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage a company's existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will "learn data mining by doing data mining". By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining.

The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis.
Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization
Offers extensive coverage of the R statistical programming language
Contains 280 end-of-chapter exercises
Includes a companion website for university instructors who adopt the book

Title: Discovering Knowledge in Data: An Introduction to Data Mining
Book Format: Hardcover
ISBN10: 0470908742
EAN: 9780470908747
Genre: COMPUTERS / Databases / Data Mining
Author: Larose, Daniel T.; Larose, Chantal D.
Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.

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What is Pre-Owned: Like New?

Appears new but has been read with very minimal signs of use. The cover has no visible wear. If applicable, the dust jacket is included for hard covers. Item has no missing or damaged pages, no creases or tears, and no markings such as underlining, highlighting or writing in margins. Used textbooks do not require the inclusion of supplemental materials.

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Pre-Owned: Like New

Item is in excellent condition, perfect working condition and has no signs of wear/usage. The original protective wrapping, if any, may be missing but the original packaging is intact.

What is the Walmart Pre-Owned Program?

See here for additional details & specific condition qualifications.

Why Walmart Pre-Owned?

Trusted sellers & quality items

Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.

Quality you can afford

Save even more on top brands & your most-loved items.

30-day free returns

Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability

Shopping Pre-Owned helps in extending the life of an item & reducing waste.

Specifications

Book format

Hardcover

Fiction/nonfiction

Non-Fiction

Genre

Nonfiction

Publication date

July, 2014

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