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Can I read Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) on EtoBox?
Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) by Mark Last, Abraham Kandel, Horst Bunke is a nonfiction available to read on EtoBox.
What is Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) about?
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.
Who reads Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Mark Last, Abraham Kandel, Horst Bunke
- Publisher
- World Scientific Pub Co Inc; World Scientific; World Scientific Publishing Company
- Published
- 2004
- Language
- EN
- ISBN
- 9781281347763
- Category
- nonfiction
- Subjects
- Mathematics, Science, Technology
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