To purchase hard copies of this book, please email:
orders@intechopen.com
Share this page
This book is indexed in
Computer and Information Science » Numerical Analysis and Scientific Computing
Knowledge-Oriented Applications in Data Mining
Edited by Kimito Funatsu, ISBN 978-953-307-154-1, Hard cover, 442 pages, Publisher: InTech, Chapters published January 21, 2011 under CC BY-NC-SA 3.0 license
DOI: 10.5772/1824 
The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by 'Data Mining' address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.
- Chapter 1
Data Mining Classification Techniques for Human Talent Forecasting - Chapter 2 New Implementations of Data Mining in a Plethora of Human Activities
- Chapter 3 Data Mining Techniques for Explaining Social Events
- Chapter 4 Mining Enrollment Data Using Descriptive and Predictive Approaches
- Chapter 5 Online Insurance Consumer Targeting and Lifetime Value Evaluating - A Mathematics and Data Mining Approach
- Chapter 6 Data Mining Using RFM Analysis
- Chapter 7 Seasonal Climate Prediction for the Australian Sugar Industry Using Data Mining Techniques
- Chapter 8 Monthly River Flow Forecasting by Data Mining Process
- Chapter 9 Monitoring of Water Quality Using Remote Sensing Data Mining
- Chapter 10 Applications of Data Mining to Diagnosis and Control of Manufacturing Processes
- Chapter 11 Atom Coloring for Chemical Interpretation and De Novo Design for Molecular Design
- Chapter 12 Hyperspectral Data Analysis and Visualization
- Chapter 13 Data Retrieval and Visualization for Setting Research Priorities in Biomedical Research
- Chapter 14 DNA Microarray Applied to Data Mining of Bradyrhizobium Elkanii Genome and Prospection of Active Genes
- Chapter 15 Visual Gene Ontology Based Knowledge Discovery in Functional Genomics
- Chapter 16 Data Mining in Neurology
- Chapter 17 Glucose Prediction in Type 1 and Type 2 Diabetic Patients Using Data Driven Techniques
- Chapter 18 Data Mining Based Establishment and Evaluation of Porcine Model for Syndrome in Traditional Chinese Medicine in the Context of Unstable Angina (Myocardial Ischemia)
- Chapter 19 Results of Data Mining Technique Applied to a Home Enteral Nutrition Database
- Chapter 20 Data Mining in Personalized Speech Disorders Therapy Optimization
- Chapter 21 Data Mining Method For Energy System Aplications
- Chapter 22 Regression
- Chapter 23 Data Mining: Machine Learning and Statistical Techniques
- Chapter 24 Dynamic Data Mining: Synergy of Bio-Inspired Clustering Methods
- Chapter 25 Exploiting Inter-Sample Information and Exploring Visualization in Data Mining: from Bioinformatics to Anthropology and Aesthetics Disciplines
- Chapter 26 Data Mining Industrial Applications