Time Series Prediction and Applications is popular PDF and ePub book, written by Amit Konar in 2017-03-25, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Time Series Prediction and Applications can be Read Online from any device for your convenience.
Time Series Prediction and Applications Book PDF Summary
This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating business environments. It employs machine learning to determine repetitively occurring similar structural patterns in the time-series and uses stochastic automaton to predict the most probabilistic structure at a given partition of the time-series. Such predictions help in determining probabilistic moves in a stock index time-series Primarily written for graduate students and researchers in computer science, the book is equally useful for researchers/professionals in business intelligence and stock index prediction. A background of undergraduate level mathematics is presumed, although not mandatory, for most of the sections. Exercises with tips are provided at the end of each chapter to the readers’ ability and understanding of the topics covered.
Detail Book of Time Series Prediction and Applications PDF
- Author : Amit Konar
- Release : 25 March 2017
- Publisher : Springer
- ISBN : 9783319545974
- Genre : Technology & Engineering
- Total Page : 242 pages
- Language : English
- PDF File Size : 7,6 Mb
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