A Novel Fuzzy Document Based Information Retrieval Model for Forecasting
Information 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 no...
Main Authors: | Partha Roy, Ramesh Kumar, Sanjay Sharma |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2017-06-01
|
Series: | Fuzzy Information and Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1616865817301395 |
Similar Items
-
Information Retrieval for Early Detection of Disease Using Semantic Similarity
by: Aszani Aszani, et al.
Published: (2023-02-01) -
Machine Learning-Based E-Archive for Archives Management of South Sumatra Province
by: Toni Tri Atmojo, et al.
Published: (2023-12-01) -
Improving Helpdesk Chatbot Performance with Term Frequency-Inverse Document Frequency (TF-IDF) and Cosine Similarity Models
by: Gede Herdian Setiawan, et al.
Published: (2023-12-01) -
Candlesticks /
by: 365210 Wills, Geoffrey
Published: (1974) -
Single Document Automatic Text Summarization using Term Frequency-Inverse Document Frequency (TF-IDF)
by: Hans Christian, et al.
Published: (2016-12-01)