TY  - CHAP
AU  - Carmelo Cassisi
AU  - Placido Montalto
AU  - Marco Aliotta
AU  - Andrea Cannata
AU  - Alfredo Pulvirenti
ED  - Adem Karahoca
Y1  - 2012-09-12
PY  - 2012
T1  - Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining
N2  - 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.
BT  - Advances in Data Mining Knowledge Discovery and Applications
SP  - Ch. 3
UR  - https://doi.org/10.5772/49941
DO  - 10.5772/49941
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -