Data Mining In Time Series Databases

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.\n\nThis 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.Data Mining In Time Series Databases is written by Bunke Horst and published by World Scientific. ISBNs for Data Mining In Time Series Databases are 9789812565402, 981256540X and the print ISBNs are 9789812382900, 9812382909.