Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …

The term 'Big Data'has spread rapidly in the framework of Data Mining and Business
Intelligence. This new scenario can be defined by means of those problems that cannot be …

在科学研究, 计算机仿真, 互联网应用, 电子商务等诸多应用领域, 数据量正在以极快的速度增长,
为了分析和利用这些庞大的数据资源, 必须依赖有效的数据分析技术. 传统的关系数据管理技术 …

Blockchain technologies are taking the world by storm. Public blockchains, such as Bitcoin
and Ethereum, enable secure peer-to-peer applications like crypto-currency or smart …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

Timely and cost-effective analytics over “Big Data” is now a key ingredient for success in
many businesses, scientific and engineering disciplines, and government endeavors. The …

We provide a novel algorithm to approximately factor large matrices with millions of rows,
millions of columns, and billions of nonzero elements. Our approach rests on stochastic …

With the rapid growth of emerging applications like social network analysis, semantic Web
analysis and bioinformatics network analysis, a variety of data to be processed continues to …

In this paper, we provide an overview of state-of-the-art research issues and achievements
in the field of analytics over big data, and we extend the discussion to analytics over big …