Introduction to Data Mining

Camila Thompson

ISBN 10: 1647260973 / ISBN 13: 9781647260972

Published by Clanrye International Mär 2022, 2022

About this Item

Neuware - Data 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.

Seller Inventory # 9781647260972

Bibliographic Details

• Title: Introduction to Data Mining
• Publisher: Clanrye International Mär 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 1647260973
• ISBN 13: 9781647260972
• Binding: Buch
• Condition: Neu
• Dimensions: 276W x 203H x 14D millimeters 276 millimeters width by 203 millimeters height by 14 millimeters depth
• Weight: 771 grams

About this title

Synopsis

Data 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.