Much of the research in data mining and knowledge discovery has focused on the development of efficient data mining algorithms. Researchers and practitioners have developed data mining techniques to solve diverse real-world data mining problems. But there is no single source that identifies...

Data mining techniques are widely used to uncover hidden knowledge that cannot be extracted using conventional information retrieval and data analytics tools or using any manual techniques. Different data mining techniques have evolved over the last two decades and solve a wide variety of...

This article describes how in today's hyper-competitive environment, business leaders around the world are using analytics technologies to create business values, and to gain a better understanding of their customer's needs and wants. However, traditional business analytics are undergoing major...

The past few years have seen an explosion in the business use of analytics. Corporations around the world are using analytical tools to gain a better understanding of their customer's needs and wants. Predictive analytics has become an increasingly hot topic in analytics landscape as more...

Mobile devices leave an unprecedented volume and variety of digital traces of human beings. In this paper, the authors propose an overview of multiple uses of mobile data published in the scientific literature. The organization of the survey follows a typology built on two criteria: interaction...

This article proposes a new algorithm which includes two stages. First, the Pearson correlation coefficient is used to calculate the similarity data, and the activity of stock money flow was calculated by combined the probability generating function (P.G.F.) of stationary waiting time and...

This article analyzes the recent literature in the search for the fundamentals of business intelligence (BI). The literature review covers the overview of BI; BI and technology acceptance model (TAM); BI, Big Data, and social media; the elements of BI; the characteristics of BI; enterprise...

This article reviews the literature in the search for the theories and perspectives of knowledge discovery and data visualization. The literature review highlights the overview of knowledge discovery; Knowledge Discovery in Databases (KDD); Knowledge Discovery in Textual Databases (KDT); the...

Purpose – The quality and quantity of data are vital for the effectiveness of problem solving. Nowadays, big data analytics, which require managing an immense amount of data rapidly, has attracted more and more attention. It is a new research area in the field of information processing...

Purpose Smart tourist destinations (STDs) make use of new technologies to facilitate and improve the experience of tourists. So why not use these technologies to efficiently manage the destination? The aim of this work is to define and implement a methodology that provides value to STDs by...