Time-series Prediction and Applications : A Machine Intelligence Approach
Language: English
Published by Springer, 2017
Series: Book 96 of 188 - Intelligent Systems Reference Library
- Hardcover
- Used
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: Used - As new
US$ 213.96
Quantity: Over 20 available
Add to basketItem description from seller
Seller Inventory # 28964430
- Title
- Time-series Prediction and Applications : A Machine Intelligence Approach
- Author
- Konar, Amit; Bhattacharya, Diptendu
- Publisher
- Springer
- Publication year
- 2017
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319545965
- ISBN 13
- 9783319545967
- Series
- Book 96 of 188: Intelligent Systems Reference Library
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."Synopsis" may belong to another edition of this title.
From the Back Cover
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."About the title" may belong to another edition of this title.
GreatBookPrices
Columbia, MD, U.S.A.
AbeBooks seller since April 6, 2009
Shipping rates within U.S.A.
| Item | 5 to 14 business days | 8 to 14 business days |
|---|---|---|
| First item | US$ 2.64 | US$ 2.64 |
Payment methods
Store description
Seller's business information
Expert Trading Limited
9220 Rumsey Road, Suite 101
Columbia, MD U.S.A. 21045
Terms of sale
Company Name: GreatBookPrices
Legal Entity: Expert Trading, LLC
Address: 9220 Rumsey Road, Ste 101, Columbia MD 21046
Email address: CustomerService@SuperBookDeals.com
Phone number: 410-964-0026
consumer complaints can be addressed to address above
Registration #: 52-1713923
Authorized representative: Danielle Hainsey
Shipping terms
Internal processing of your order will take about 1-2 business days. Please allow an additional 4-14 business days for Media Mail delivery. We have multiple ship-from locations - MD,IL,NJ,UK,IN,NV,TN & GA