Stock Market Behavior Prediction Using NN Based Model

Kamley, Sachin; Jaloree, Shailesh; Thakur, R. S.

doi:10.9734/bjmcs/2014/9819

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…-Relative absolute error [32] It takes the total absolute error and normalizes it by dividing by the total absolute error of the simple predictor.…”

Section: (12)mentioning

confidence: 99%

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Region based Image Steganalysis using Artificial Bee Colony

Mohammadi

Sajedi

2017

Journal of Visual Communication and Image Representation

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Steganalysis is the art and skill of discriminating stego images from cover images. Image steganalysis algorithms can be divided into two broad categories, specific and universal. In this paper, a novel universal image steganalysis algorithm is proposed which is called RISAB, Region based Image steganalysis using Artificial Bee colony. The goal of the proposed method is to realize a sub-image from stego and cover images through ABC with respect to density according to the cover, stego and difference images. In our method, we look for the best sub-image, which contains the highest density with respect to the changed embedding pixels. Furthermore, after selecting the best sub-image, we extract the features, which have been selected by IFAB, Image steganalysis based on Feature selection using Artificial Bee colony. At the end, both selected features by IFAB and extracted features by RISAB are combined. As a result, a feature vector is generated which improves accuracy of steganalysis. Experimental results show that our proposed method outperforms other approaches.

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“…-Relative absolute error [32] It takes the total absolute error and normalizes it by dividing by the total absolute error of the simple predictor.…”

Section: (12)mentioning

confidence: 99%

“…-Root Relative Squared Error [32] By taking the square root of the relative squared error, one reduces the error to the same dimensions as the quantity being predicted.…”

Section: (12)mentioning

confidence: 99%

Region based Image Steganalysis using Artificial Bee Colony

Mohammadi

Sajedi

2017

Journal of Visual Communication and Image Representation

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Bombay Stock Exchange of India

Kamley¹,

Jaloree²,

Thakur

2017

Pattern and Data Analysis in Healthcare Settings

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Stock market nature is considered to be dynamic and susceptible to quick changes because it depends on various factors like share price, fundamental variables like P/E ratio, dividend yield etc. election results, rumors etc. Now a day's prediction is an important process which determines the future worth of a company. The successful prediction brings motivation and awareness in stock community as well as economic growth of the country. In past various theories and methods like Efficient Market Hypothesis (EMH), Random Walk Theory, fundamental and technical analyses have been proposed. These methods or combination of methods have not got as much success even yet because these methods are very complex and time consuming and performed well on short data. These days stock market users mostly rely on intelligent trading system which would be help them to predict share prices based on various situations and conditions. Data mining is a broad area and also supports various business intelligence techniques. It has mastery to raise various financial issues like buying/selling security, bond analysis, contract analyses etc. in this study various prediction techniques like linear regression, multiple regression, association rule mining, clustering, neural network have been proposed and their significant performances will be compared by Bombay Stock Exchange (BSE) data.

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Stock Market Behavior Prediction Using NN Based Model

Cited by 2 publications

References 12 publications

Region based Image Steganalysis using Artificial Bee Colony

Region based Image Steganalysis using Artificial Bee Colony

Bombay Stock Exchange of India

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