Data Mining in Time Series Databases
Author | : Abraham Kandel |
Publisher | : World Scientific |
Total Pages | : 205 |
Release | : 2004 |
ISBN-10 | : 9789812565402 |
ISBN-13 | : 981256540X |
Rating | : 4/5 (02 Downloads) |
Book excerpt: Adding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings. Theproblem of detecting changes in data mining models that are inducedfrom temporal databases is additionally discussed.