Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

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 …

Distributed computing remains inaccessible to a large number of users, in spite of many
open source platforms and extensive commercial offerings. While distributed computation …

Picking the right cloud configuration for recurring big data analytics jobs running in clouds is
hard, because there can be tens of possible VM instance types and even more cluster sizes …

Recent workload trends indicate rapid growth in the deployment of machine learning,
genomics and scientific workloads on cloud computing infrastructure. However, efficiently …

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 …

大数据管理:概念,技术与挑战 Page 1 大数据管理:概念,技术与挑战 孟小峰慈祥 (**人民大学信息
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …

Entity matching (EM) identifies data instances that refer to the same real-world entity, such
as (David Smith, UWMadison) and (DM Smith, UWM). This problem has been a long …

Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …

Modern resource management frameworks for largescale analytics leave unresolved the
problematic tension between high cluster utilization and job's performance predictability …