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Time series data analysis of stock price movement using machine learning techniques
(Springer, 2020)
Stock market also called as equity market is the aggregation of the sellers and buyers. It is concerned with the domain where the shares of various public listed companies are traded. For predicting the growth of economy, ...
Comparative Analysis of Salt and Pepper Removal Techniques for Binary Images
(Springer, 2020)
Binarization is the most important step in the OCR system that converts the gray level or colored images into bi-level form. In the case of degraded images, results after binarization mostly contain noises. Salt and pepper ...
Modified Sauvola binarization for degraded document images
(Elsevier, 2020)
The binarization of historical documents is a difficult job due to the presence of many degradations. Many existing local binarization techniques use certain manually adjusted parameters. The output of these techniques is ...
Static, dynamic and intrinsic features based android malware detection using machine learning
(Springer, 2020)
Android is one of the smartest and advanced operating systems in the mobile phone market in the current era. The number of smartphone users based on the Android platform is rising swiftly which increases its popularity all ...
Analysis of Wormhole Attack on AODV and DSR Protocols Over Live Network Data
(Springer, 2020)
Wireless ad hoc networks due to their open deployment architecture, are highly exposed to many security compromising attacks. These attacks can cause a lot of damage to privacy, security, and robustness of networks. The ...
Clustering of tweets: A novel approach to label the unlabelled tweets
(Springer, 2020)
Twitter is one of the fastest growing microblogging and online social networking site that enables users to send and receive messages in the form of tweets. Twitter is the trend of today for news analysis and discussions. ...
Comparison and analysis of logistic regression, Na�ve Bayes and KNN machine learning algorithms for credit card fraud detection
(Springer Science and Business Media B.V., 2020-02-15)
Financial fraud is a threat which is increasing on a greater pace and has a very bad impact over the economy, collaborative institutions and administration. Credit card transactions are increasing faster because of the ...
Texture-Based Automated Classification of Ransomware
(Springer, 2020-10-31)
Reliance on digital data has been increased with easy availability of user friendly software to store and manipulate data with much less effort. This digital data can become very hard to maintain if no security mechanisms ...
Text Similarity Measures in News Articles by Vector Space Model Using NLP
(Springer, 2020-11-07)
The present global size of online news websites is more than 200 million. According to MarketingProfs, more than 2 million articles are published every day on the web, but Online News websites have also circulated editorial ...