Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)

Description

"This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed."--BOOK JACKET.

First Sentence

In recent years, there has been an explosion of interest in mining time series databases.

Subjects

Other Editions

• Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)HardcoverWorld Scientific Pub Co Inc2004-11-01
• Data Mining in Time Series DatabasesWorld Scientific Publishing Co Pte Ltd2004-01-01
• Data Mining in Time Series DatabasesWorld Scientific Publishing Co Pte Ltd2010-01-01