Analytics is the future of big data because only transforming data into information gives them value and can turn data in business in competitive advantage. Large data volumes, their variety and the increasing speed their growth, stretch the boundaries of traditional data warehouses and ETL...

The widespread use of the Internet and computer systems has led to a situation where data are available on almost everything. The volume and the level of detail of these data is something we considered to be impossible until a few years ago. Researchers in economics and business now have access...

Although support vector regression models are being used successfully in various applications, the size of the business datasets with millions of observations and thousands of variables makes training them difficult, if not impossible to solve. This paper introduces the Row and Column Selection...

The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty. Computer science and information technology are changing the innovation environment and accumulating Big Data from which a lot of knowledge is to be...

Nowadays companies are starting to realize the importance of using more data in order to support decision for their strategies. It was said and proved through study cases that “More data usually beats better algorithms”. With this statement companies started to realize that they can chose to...

After the important progresses in information technology there appeared great volumes of data stored from different fields of human activity. From here there was a short way to developing advanced analysis techniques known as data mining. Using modern computer systems that integrate data mining...

Data mining systems on the market are usually produced by companies from fields of activity like databases, statistical analysis. Enterprises can choose from a wide variety of commercial data mining tools to pick one that best suites their needs and can operate with the type of data they have....

This study presents an innovative "Matching Algorithm" to match self presentation to consumer preferences in internet dating sites using data mining and machine learning techniques. The study is designed from 2 parts: The first part examines the correlation between the presentation...

Abstract Most scientists consider randomized experiments to be the best method available to establish causality. On the Internet, during the past twenty-five years, randomized experiments have become common, often referred to as A/B testing. For practical reasons, much A/B testing does not use...