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Computer and Information Science » Computer Science and Engineering
Advances in Data Mining Knowledge Discovery and Applications
Edited by Adem Karahoca, ISBN 978-953-51-0748-4, Hard cover, 418 pages, Publisher: InTech, Chapters published September 12, 2012 under CC BY 3.0 license
DOI: 10.5772/3349
Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications.
- Chapter 1
Towards the Formulation of a Unified Data Mining Theory, Implemented by Means of Multiagent Systems (MASs) - Chapter 2
Selecting Representative Data Sets - Chapter 3
Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining - Chapter 4
Data Mining and Neural Networks: The Impact of Data Representation - Chapter 5
Inconsistent Decision System: Rough Set Data Mining Strategy to Extract Decision Algorithm of a Numerical Distance Relay - Tutorial - Chapter 6
An Unsupervised Classification Method for Hyperspectral Remote Sensing Image Based on Spectral Data Mining - Chapter 7
Visualization Techniques: Which is the Most Appropriate in the Process of Knowledge Discovery in Data Base? - Chapter 8
Analysis and Learning Frameworks for Large-Scale Data Mining - Chapter 9
Data Mining Applied to Cognitive Radio Systems - Chapter 10
Short-Term Energy Price Prediction Multi-Step-Ahead in the Brazilian Market Using Data Mining - Chapter 11
Electricity Load Forecasting Using Data Mining Technique - Chapter 12
Mining and Adaptivity in Automated Teller Machines - Chapter 14
The Performance Evaluation of Speech Recognition by Comparative Approach - Chapter 15
Data Mining from Remote Sensing Snow and Vegetation Product - Chapter 16
Mining Complex Network Data for Adaptive Intrusion Detection - Chapter 17
BotNet Detection: Enhancing Analysis by Using Data Mining Techniques - Chapter 18
Improving Decision Support Systems with Data Mining Techniques"
