A Survey on Stock market price prediction using data mining techniques
Prateek Purey1 , Anil Patidar2
Section:Survey Paper, Product Type: Journal Paper
Volume-6 ,
Issue-8 , Page no. 819-822, Aug-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i8.819822
Online published on Aug 31, 2018
Copyright © Prateek Purey, Anil Patidar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Prateek Purey, Anil Patidar, “A Survey on Stock market price prediction using data mining techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.819-822, 2018.
MLA Style Citation: Prateek Purey, Anil Patidar "A Survey on Stock market price prediction using data mining techniques." International Journal of Computer Sciences and Engineering 6.8 (2018): 819-822.
APA Style Citation: Prateek Purey, Anil Patidar, (2018). A Survey on Stock market price prediction using data mining techniques. International Journal of Computer Sciences and Engineering, 6(8), 819-822.
BibTex Style Citation:
@article{Purey_2018,
author = {Prateek Purey, Anil Patidar},
title = {A Survey on Stock market price prediction using data mining techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {819-822},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2776},
doi = {https://doi.org/10.26438/ijcse/v6i8.819822}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.819822}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2776
TI - A Survey on Stock market price prediction using data mining techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Prateek Purey, Anil Patidar
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 819-822
IS - 8
VL - 6
SN - 2347-2693
ER -
VIEWS | XML | |
498 | 329 downloads | 299 downloads |
Abstract
data mining techniques are used in a number of applications such as classification, prediction and others. In this presented work the data mining techniques are investigated for implementing in prediction applications. Therefore this paper provides the study about the stock market price prediction techniques and the recently made contributions in domain of prediction using data mining techniques. The data mining techniques are having the ability to evaluate the historical stock market price trends and can approximate the upcoming market prices. In addition of that a model using available techniques is also presented work.
Key-Words / Index Term
Stock market price, prediction, data mining, survey, improved model
References
[1] Mondher Bouazizi and Tomoaki Ohtsuki, “A Pattern-Based Approach for Multi-Class Sentiment Analysis in Twitter”, 2169-3536, 2017 IEEE, VOLUME 5, 2017
[2] Han, Jiawei, Jian Pei, and Micheline Kamber, “Data mining: concepts and techniques”, Elsevier, 2011.
[3] Bharati M. Ramageri, “Data Mining Techniques and Applications”, Indian Journal of Computer Science and Engineering, Volume 1 Number 4, pp. 301-305
[4] Dunham, M.H. Data mining introductory and advanced topics. Upper Saddle River, NJ: Pearson Education, New Delhi, 2003. Print. ISBN: 81-7758-785-4, 2006.
[5] Reza Hafezi, Jamal Shahrabi, Esmaeil Hadavandi, “A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price”, Applied Soft Computing 29 (2015) 196–210, © 2015 Elsevier B.V.
[6] Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng, “Empirical analysis: stock market prediction via extreme learning machine”, Neural Comput & Applic, DOI 10.1007/s00521-014-1550-z, Springer-Verlag London 2014
[7] Thien Hai Nguyen, Kiyoaki Shirai, Julien Velcin, “Sentiment analysis on social media for stock movement prediction”, Expert Systems With Applications 42 (2015) 9603–9611, © 2015 Elsevier Ltd.
[8] QING LI, YUANZHU CHEN, LI LING JIANG, PING LI, HSINCHUN CHEN, “A Tensor-Based Information Framework for Predicting the Stock Market”, ACM Transactions on Information Systems, Vol. , No. , Article , Publication date: January 2016.
[9] Sanjiban Sekhar Roy, Dishant Mittal, Avik Basu, and Ajith Abraham, “Stock Market Forecasting Using LASSO Linear Regression Model”, Advances in Intelligent Systems and Computing 334, DOI: 10.1007/978-3-319-13572-4_31.