Data plays an important role in the maintenance of collecting and processing huge amounts of information. The more data is stored, the more suitable and essential it is to ensure its safety. A lack of data security can result in great financial failures and reputational damage for any...

From all the different malware attack the botnet is extensive and serious threat which occurs over all the time in today's Cyber attack. Botnet is a group of accord computer which are fortuitously controlled by the hacker to launch various type of attack like DDOS, Frauds like click fraud ,...

With the increasing competition, decreasing customer loyalty and plethora of banking products, it has become essential in today’s sluggish economy for banks to accurately position themselves. This paper presents a credit marketing model using an advanced data mining for acquisition...

Data with large dimensions will bring various problems to the application of data envelopment analysis (DEA). In this study, we focus on a "big data" problem related to the considerably large dimensions of the input-output data. The four most widely used approaches to guide dimension reduction...

This paper analyses textual data mined from 37,460 reviews written by mobile banking application users in Nigeria over the period November 2012 - July 2020. On a scale of 1 to 5 (5 being the best), the average user rating for the twenty-two apps included in our sample is 3.5; with the apps...

Direct measurement of corruption is difficult due to its hidden nature, and measuring the perceptions of corruption via survey-based methods is often used as an alternative. This paper constructs a new non-survey based perceptions index for 111 countries by applying sentiment analysis to...

Due to SARS-CoV-2 pandemic, higher education institutions are challenged to continue providing quality teaching, consulting, and research production through virtual education environments. In this context, a large volume of data is being generated, and technologies such as big data analytics are...

Purpose: This study aimed to evaluate the resolution of touristification and the SNS user’s perception of the phenomenon through analysis of social big data. Design/methodology/approach: Data were collected from a "café" and a blog on social media platforms (Naver, Daum) that were collected...

We study how organizational boundaries affect pricing decisions using comprehensive data from a large U.S. airline. We document that the firm's advanced pricing algorithm, utilizing inputs from different organizational teams, is subject to multiple biases. To quantify the impacts of these...