Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Novel Fuzzy Document Based Information Retrieval Model for Forecasting

A Novel Fuzzy Document Based Information Retrieval Model for Forecasting This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). http://dx.doi.org/10.1016/j.fiae.2017.06.002 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuzzy Information and Engineering Taylor & Francis

A Novel Fuzzy Document Based Information Retrieval Model for Forecasting

Download PDF
23 pages

A Novel Fuzzy Document Based Information Retrieval Model for Forecasting

Abstract

AbstractInformation retrieval systems are generally used to find documents that are most appropriate according to some query that comes dynamically from users. In this paper a novel Fuzzy Document based Information Retrieval Model (FDIRM) is proposed for the purpose of Stock Market Index forecasting. The novelty of proposed approach is a modified tf-idf scoring scheme to predict the future trend of the stock market index. The contribution of this paper has two dimensions, 1) In the proposed...
Loading next page...
 
/lp/taylor-francis/a-novel-fuzzy-document-based-information-retrieval-model-for-qaLnhD70Gh
Publisher
Taylor & Francis
Copyright
© 2017 Fuzzy Information and Engineering Branch of the Operations Research Society of China. Production and hosting by Elsevier B.V. All rights reserved.
ISSN
1616-8666
eISSN
1616-8658
DOI
10.1016/j.fiae.2017.06.002
Publisher site
See Article on Publisher Site

Abstract

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). http://dx.doi.org/10.1016/j.fiae.2017.06.002

Journal

Fuzzy Information and Engineering – Taylor & Francis

Published: Jun 1, 2017

Keywords: Japanese Candlesticks; Fuzzy logic; Tf-idf; Forecasting; Data mining; Information Retrieval

References

  • An enhanced multi-view fuzzy information retrieval model based on linguistics
  • Financial forecasting using anfis networks with quantum-behaved particle swarm optimization
  • Efficient capital markets: a review of theory and empirical work
  • A new fuzzy logic based ranking function for efficient information retrieval system
  • Stock trading rule discovery with an evolutionary trend following model
  • A fuzzy logic model for forecasting exchange rates
  • Locality sensitive hashing: a comparison of hash function types and querying mechanisms
  • Semantic hashing
  • Effective intervals determined by information granules to improve forecasting in fuzzy time series
  • SVM stock selection model within pca
  • Fuzzy sets
  • A comparative study of tf* idf, lsi and multi-words for text classification
  • Stock market prediction of s&p 500 via combination of improved bco approach and bp neural network