"Data Mining In Time Series Databases"

eBook Name: Data Mining In Time Series Databases
eBook Type: Data Mining

Data Mining, Data Warehouse, Text Mining, Information Retrieval, Information Extraction

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery.

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.