"Data Mining Applications in Engineering and Medicine" ed. by Adem Karahoca

This book targets to help data miners who wish to apply different data mining techniques. In this book, most of the areas are covered by describing different applications. This book will inspire readers to pursue education and research in this emerging field.

Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc.
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.

Contents
Section 1 Data Mining Applications
1 Survey of Data Mining and Applications (Review from 1996 to Now)
2 Research on Spatial Data Mining in E-Government Information System
3 Data Mining Applied to the Improvement of Project Management
4 Explaining Diverse Application Domains Analyzed from Data Mining Perspective
5 Using Neural Networks in Preparing and Analysis of Basketball Scouting
6 A Generic Scaffold Housing the Innovative Modus Operandi for Selection of the Superlative Anonymisation Technique for Optimized Privacy Preserving Data Mining
Section 2 Data Mining in Medical Applications
7 Electronic Documentation of Clinical Pharmacy Interventions in Hospitals
8 Incorporating Domain Knowledge into Medical Image Mining
9 Discovering Fragrance Biosynthesis Genes from Vanda Mimi Palmer Using the Expressed Sequence Tag (EST) Approach
10 Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization
11 Visual Exploration of Functional MRI Data
12 Data Mining Techniques in Pharmacovigilance: Analysis of the Publicly Accessible FDA Adverse Event Reporting System (AERS)
13 Examples of the Use of Data Mining Methods in Animal Breeding

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