๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Data Mining In Time Series Databases

โœ Scribed by Mark Last, Abraham Kandel, Horst Bunke


Book ID
127433795
Publisher
World Scientific
Year
2004
Tongue
English
Weight
3 MB
Series
Series in machine perception and artificial intelligence v.57
Category
Library
City
New Jersey; London
ISBN
9812382909

No coin nor oath required. For personal study only.

โœฆ Synopsis


Adding the time dimension to real-world databases produces TimeSeries Databases (TSDB) and introduces new aspects and difficultiesto data mining and knowledge discovery. This book covers thestate-of-the-art methodology for mining time series databases. Thenovel data mining methods presented in the book include techniquesfor efficient segmentation, indexing, and classification of noisy anddynamic time series. A graph-based method for anomaly detection intime series is described and the book also studies the implicationsof a novel and potentially useful representation of time series asstrings. The problem of detecting changes in data mining models thatare induced from temporal databases is additionally discussed.


๐Ÿ“œ SIMILAR VOLUMES


Time-series data mining
โœ Esling, Philippe; Agon, Carlos ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Association for Computing Machinery ๐ŸŒ English โš– 433 KB