Functions of Data Mining in Science, Technology and Medicine

Mick Benson

ISBN 10: 1632402424 / ISBN 13: 9781632402424

Published by ML Books International - IPS, 2015

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this book is to assist data miners who want to employ distinct data mining techniques. Data mining commonly encompasses areas of machine learning, pattern identification, statistics, data management and databases, artificial intelligence, etc. This book covers most of these areas by elucidating various applications. The readers will understand why and how data mining can also be employed for the enhancement of project management through this book. It will also serve as a great source of information and inspire readers to pursue education and research in this growing field; since the book also integrates extensive information concerning certain aspects and significance of data mining in various fields like pharmacovigilance, incorporating domain knowledge into medical image mining, electronic documentation of clinical pharmacy interventions in hospitals, etc.

Seller Inventory # 9781632402424

Bibliographic Details

• Title: Functions of Data Mining in Science, Technology and Medicine
• Publisher: ML Books International - IPS
• Publication Date: 2015
• Language: English
• ISBN 10: 1632402424
• ISBN 13: 9781632402424
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 23D millimeters 235 millimeters width by 157 millimeters height by 23 millimeters depth
• Weight: 641 grams

About this title

Synopsis

The aim of this book is to assist data miners who want to employ distinct data mining techniques. Data mining commonly encompasses areas of machine learning, pattern identification, statistics, data management and databases, artificial intelligence, etc. This book covers most of these areas by elucidating various applications. The readers will understand why and how data mining can also be employed for the enhancement of project management through this book. It will also serve as a great source of information and inspire readers to pursue education and research in this growing field; since the book also integrates extensive information concerning certain aspects and significance of data mining in various fields like pharmacovigilance, incorporating domain knowledge into medical image mining, electronic documentation of clinical pharmacy interventions in hospitals, etc.