Picture 1 of 1

Stock photo

Introduction To Data Mining - Picture 1 of 1

Introduction to Data Mining by Camila Thompson (2022, Hardcover)

Prepbooks (234867)

99.5% positive feedback

Price:

$131.50

Free shipping

Estimated delivery Wed, Nov 12 - Sat, Nov 15

Returns:

30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

Title: Introduction To Data Mining. Number of Pages: 230. Weight: 0 lbs. Publication Date: 2021-12-07. Publisher: Clanrye International.

About this product

Product Identifiers

PublisherClanrye International

ISBN-101647260973

ISBN-139781647260972

eBay Product ID (ePID)3057273840

Product Key Features

Number of Pages230 Pages

Publication NameIntroduction to Data Mining

LanguageEnglish

Publication Year2022

SubjectDatabases / Data Mining

TypeTextbook

AuthorCamila Thompson

Subject AreaComputers

FormatHardcover

Dimensions

Item Length10.9 in

Item Width8 in

Additional Product Features

Intended AudienceScholarly & Professional

SynopsisData mining is a process which deals with the discovery of patterns in large data sets. It applies methods from the fields of statistics, database systems and machine learning. Data mining aims to transform the information derived from a data set into a comprehensible structure for further use. Data mining also includes the data management aspects, complexity considerations, visualization, online updating, data pre-processing, model and inference considerations, and post-processing of discovered structures. It uses statistical models and machine-learning to uncover hidden patterns in a large volume of data. There are numerous fields where it is applied such as business, medicine, surveillance and science. This book aims to shed light on some of the unexplored aspects of data mining. Such selected concepts that redefine data mining have been presented herein. For someone with an interest and eye for detail, this book covers the most significant topics in this field.