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This book is indexed in
Computer and Information Science » Computer Science and Engineering
Data Mining Applications in Engineering and Medicine
Edited by Adem Karahoca , ISBN 978-953-51-0720-0, Hard cover, 324 pages, Publisher: InTech, Chapters published August 29, 2012 under CC BY 3.0 license
DOI: 10.5772/2616
Data Mining Applications in Engineering and Medicine targets to help data miners who wish to apply different data mining techniques. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, most of the areas are covered by describing different applications. This is why you will find here why and how Data Mining can also be applied to the improvement of project management. Since Data Mining has been widely used in a medical field, this book contains different chapters reffering to some aspects and importance of its use in the mentioned field: Incorporating Domain Knowledge into Medical Image Mining, Data Mining Techniques in Pharmacovigilance, Electronic Documentation of Clinical Pharmacy Interventions in Hospitals etc. We hope that this book will inspire readers to pursue education and research in this emerging field.
- Chapter 1
Survey of Data Mining and Applications (Review from 1996 to Now) - Chapter 2
Research on Spatial Data Mining in E-Government Information System - Chapter 3
Data Mining Applied to the Improvement of Project Management - Chapter 4
Explaining Diverse Application Domains Analyzed from Data Mining Perspective - Chapter 5
Using Neural Networks in Preparing and Analysis of Basketball Scouting - Chapter 6
A Generic Scaffold Housing the Innovative Modus Operandi for Selection of the Superlative Anonymisation Technique for Optimized Privacy Preserving Data Mining - Chapter 7
Electronic Documentation of Clinical Pharmacy Interventions in Hospitals - Chapter 8
Incorporating Domain Knowledge into Medical Image Mining - Chapter 9
Discovering Fragrance Biosynthesis Genes from Vanda Mimi Palmer Using the Expressed Sequence Tag (EST) Approach - Chapter 10
Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization - Chapter 11
Visual Exploration of Functional MRI Data - Chapter 12
Data Mining Techniques in Pharmacovigilance: Analysis of the Publicly Accessible FDA Adverse Event Reporting System (AERS) - Chapter 13
Examples of the Use of Data Mining Methods in Animal Breeding
