An analysis on Stock Market Prediction using Data Mining Techniques
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 2
Abstract
Stock market data analysis needs the help of artificial intelligence and data mining techniques. The volatility of stock prices depends on gains or losses of certain companies. Many people consider stock market prediction as gambling. However it is possible to generate constructive patterns by the analysis of stock prices. Data mining techniques can be applied on past and present financial data to generate patterns and decision making algorithms. In this paper we have discussed several attempts made by researches for stock price prediction. These works show that data mining techniques can be applied for evaluation of past stock prices and acquire valuable information by estimating suitable financial indicators.
Authors and Affiliations
S. Prasanna , Dr. D. Ezhilmaran
Keywords
Related Articles
- EP ID EP135630
- DOI -
- Views 107
- Downloads 0
A Systematic approach of Software development implementation process-Part I
This research paper most useful for all academics student of computer science. In this paper I have targeted all those student who works on their academic project. Since long time I found most of student not follow actua...
A Study on Application of Artificial Neural Network and Genetic Algorithm in Pattern Recognition
Image processing is an emerging field and lots of research had been performed for the past few years. Image processing has various techniques which are image segmentation, enhancement, feature extraction, classification,...
Comparative study of Gradient based image denoising methods
Images are playing very key role in various applications like medical imaging, remote sensing, and scientificresearch and in all these applications image clarity plays a major role. Any image that is captured has to be p...
A Survey on Trust Management in Wireless Sensor Networks
Wireless Sensor Network consists of spatially distributed autonomous sensors to monitor environmental or physical conditions and has many practical applications. WSNs are of interest to adversaries and they become suscep...
Fault Tolerance in Wireless Sensor Networks using Stiffed Delaunay Triangulation
In this chapter, we introduce fault tolerance in Wireless Sensor Networks. Firstly, we start with a short description of sensor networks, fault tolerance and its different techniques. Then we discuss the different phases...