Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the followi...

As Big Data and analytics defined on top of Big Data have increasingly greater impacts on society, we humans are becoming incorporated in a Big Data loop: our activities, transactions, posts, and images, are all being recorded as Big Data; and in turn the analysis of Big Data is being used to make decisions that affect us. This paper explores characteristics of this grand loop of Big Data and b...

In some fields, Big Data has been instrumental in analyzing, predicting, and influencing human behavior. However, Big Data approaches have so far been less central in speech-language pathology. This article introduces the concept of Big Data and provides examples of Big Data initiatives pertaining to adult neurorehabilitation. It also discusses the potential theoretical and clinical contributio...

-------------------------------------------------------------------ABSTRACT------------------------------------------------------------Rapid technological advancements in recent technologies have led to inundation of data from diverse domains like scientific generated data, web, business intelligence and medical science over the past few years. The concept of big data was put to capture the mea...

With the fast advance of big data technology and analytics solutions, building high-quality big data computing services in different application domains is becoming a very hot research and application topic among academic and industry communities, and government agencies. Therefore, big data based applications are widely-used currently, such as recommendation, predication, and decision system. ...

well. With the continuous increase of digital data, which is creating in the process of medical services and health management, big data management and analysis is becoming important. Researchers in medical services and health management enclosed within the statistical methods strictly. For example, requirement of randomness and size of sample were limited in the association studies. Big data a...

Now we live in an era of big data, and big data applications are becoming more and more pervasive. How to benchmark data center computer systems running big data applications (in short big data systems) is a hot topic. In this paper, we focus on measuring the performance impacts of diverse applications and scalable volumes of data sets on big data systems. For four typical data analysis applica...

Today big data are the target of many research activities focusing on big data management and analysis, definition of zero latency approaches to data analytics, and protection of big data security and privacy. In particular, security and privacy are two important, while contrasting, requirements. Big data security usually refers to the use of big data to implement solutions increasing security,...

While “big data” has become a highlighted buzzword since last year, “big data mining”, i.e., mining from big data, has almost immediately followed up as an emerging, interrelated research area. This paper provides an overview of big data mining and discusses the related challenges and the new opportunities. The discussion includes a review of state-of-the-art frameworks and platforms for proces...

Assessment of the electricity market shows that, electricity market data can be considered "big data". this data has been analyzed by both conventional and modern data mining methods. The predicted variables of supply and demand are considered to be the input of a defined multi-objective for predicting electricity price, which is the result of the defined model. This shows the advantage of appl...