Data Mining In Time Series Databases
eBook - PDF

Data Mining In Time Series Databases

  1. 204 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Data Mining In Time Series Databases

About this book

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.

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Yes, you can access Data Mining In Time Series Databases by Horst Bunke, Abraham Kandel, Mark Last in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Contents
  2. Preface
  3. Chapter 1 Segmenting Time Series: A Survey and Novel Approach E. Keogh, S. Chu, D. Hart and M. Pazzani
  4. Chapter 2 A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences M. L. Hetland
  5. Chapter 3 Indexing of Compressed Time Series E. Fink and K. B. Pratt
  6. Chapter 4 Indexing Time-Series under Conditions of Noise M. Vlachos, D. Gunopulos and G. Das
  7. Chapter 5 Change Detection in Classification Models Induced from Time Series Data G. Zeira, O. Maimon, M. Last and L. Rokach
  8. Chapter 6 Classification and Detection of Abnormal Events in Time Series of Graphs H. Bunke and M. Kraetzl
  9. Chapter 7 Boosting Interval-Based Literals: Variable Length and Early Classification C. J. Alonso Gonzalez and J. J. Rodriguez Diez
  10. Chapter 8 Median Strings: A Review X. Jiang, H. Bunke and J. Csirik