The age of big data is now coming. But the traditional data analytics may not be able to
handle such large quantities of data. The question that arises now is, how to develop a high …

Much of the research on Business Intelligence (BI) has examined the ability of BI systems to
help organizations address challenges and opportunities. However, the literature is …

Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …

In the information era, enormous amounts of data have become available on hand to
decision makers. Big data refers to datasets that are not only big, but also high in variety and …

This paper discusses approaches and environments for carrying out analytics on Clouds for
Big Data applications. It revolves around four important areas of analytics and Big Data …

This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data
are given. Secondly, the different steps for Big Data data processing and the main problems …

In business, consumers interest, behavior, product profits are the insights required to predict
the future of business with the current data or historical data. These insights can be …

as an attempt to understand Modern Learning Environment (MLE) to support learning in big
data era, its exploration where the students are engaged to access online resources using …

With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a
tremendous growth in the amount of data generated. This chapter emphasizes on the need …

摘! 要大数据是物联网云计算之后ýZ 项重大技木变草无论是学木界企业界还是政府ÄÎ
到其影响大数据下的决策环境发生了巨大改变基于数据驱动的决策方式大数据影响了企业的 …