Financial Markets Prediction Using Quantitative Analysis (FMPQA)
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 3
Abstract
Unlimited trade pressures forced the fiscal security organizations to explore the possibilities of information technology with the support of data mining technique. Now a days unbiased volume of trades in the markets where done with the back support of data mining technique. Data mining is a process of discovering various models, summaries, and derived values from a given collection of data .The technique helps the investors by forecasting the market trends and hence the profit traders got a predictive capability in their investments decisions. The technique has been applied to stock data to achieve better financial solutions. Predictive patters from quantitative time series analysis will be invented and it helps to reduces the risk of investors.
Authors and Affiliations
Dr. Prem Krishnan
A Proposed System and Scheduling Algorithm for Grid based Indian Rural health Care
This paper focusses on proposing a system for grid based health care center. The paper dicusses the importance of health care center and grid computing. It also focusses on the proposed sytem architecture for the sys...
Competent Dependable Convergent Key Management for Reliable Deduplication
De-Duplication enhances Storage and data transmission effectiveness is contradictory with conventional encryption. In conventional model encryption requires diverse clients to encode their own information with their...
A Technique To Solve Real-World Problems In Text Classification, Computer Vision, And Bioinformatics
The key confront of online feature selection is how to create precise prediction for an example by means of a small number of active features. This is in difference to the traditional setup of online knowledge where a...
Image Segmentation Using Stake-Denotes Algorithm
In this paper, we present stake k-mean fragmentation and regions tracking model, which aims at combining color, texture, pattern, and motion features. in the first the stake algorithm segmented the objects which are...
Performance Enhancement of Sliding Mode Control Using Fuzzy Logic: An Application And Analysis
Sliding mode control (SMC) is an efficient tool in design of robust controller for nonlinear plants. The main advantage of sliding mode control is order reduction and making the system practically independent of vari...