Performance Comparison of Different Sorting Algorithms

Performance Comparison of Different Sorting Algorithms Abstract— Sorting is the basic operation in most of the applications of computer science. Sorting means to arrange data in particular order inside computer. In this paper we have discussed performance of different sorting algorithms with their advantages and disadvantages. This paper also represents the application areas for different sorting algorithms. Main goal of this paper is to compare the […]

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Security Analysis of OpenStack Keystone

Security Analysis of OpenStack Keystone Abstract – OpenStack is one of the most used cloud management software today. OpenStack is a free and open-source software platform for cloud computing, mostly deployed as an infrastructure-as-a-service (IaaS). We have selected OpenStack as one of the underlying infrastructure service layer tool because OpenStack allows us to modify our cloud to fit into custom infrastructures that may be necessary […]

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Providing Banking Loan to Customers Based on J48 Classifier Algorithm Combined with Neural Networks

Providing Banking Loan to Customers Based on J48 Classifier Algorithm Combined with Neural  Networks Abstract: Data mining is the transformation of large sizes of information into expressive patterns and rules. It is approximately describing the former and calculating the near future by means of information analysis. Data mining is really a multi-disciplinary area which combines, equipment understanding, data, database engineering and synthetic intelligence. The full […]

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PAPR Reduction using DFT Spreading with FEC for OFDM Systems

PAPR Reduction using DFT Spreading with FEC for OFDM Systems Abstract: The next generation of mobile communication is based on OFDM technology. It is an efficient method of data transmission for high speed communication system. Orthogonal frequency division multiplexing (OFDM) systems have been proposed in the recent past years for providing high spectral efficiency, less vulnerability to echoes, low implementation complexity and resistance to non linear […]

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Twitter Text Objectionable Content Detection using Domain Based Probability and Correlation Model

Twitter Text Objectionable Content Detection using Domain Based Probability and Correlation Model Abstract— Text mining technique is used to detect the required patterns from the text documents. The nature of text document is an unstructured format where the data is represented in an unstructured manner. The text mining can be used for information retrieval, information extraction, search, classification, and categorization. In this context, an application of […]

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A Novel Hybrid Method for Generating Association Rules for Stock Market Data

A Novel Hybrid Method for Generating Association Rules for Stock Market Data Abstract – The aim of the current research is to extract the knowledge from stock market data to help investors make more profit. We have used NSE (National Stock Exchange) historical data for six years. We have also pre-processed stock market data. We have used hybrid method which consists of two widely used algorithms […]

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