WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
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Abstract

The SDA workshop at WSDM 2015 is the fifth International Workshop on Scalable Data Analytics, following the previous four workshops of SDA respectively held at IEEE Big Data 2013, PAKDD 2014, IEEE Big Data 2014, and IEEE ICDM 2014. This series of workshops aims to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art theories and applications of scalable data analytics technologies. In particular, in the era of information explosion, the scientific, biomedical, and engineering research communities are undergoing a profound transformation where discoveries and innovations increasingly rely on massive amounts of data. The characteristics of volume, velocity, variety and veracity originated in the massive big data then bring challenges to current data analytics techniques. The focus of the fifth SDA is to discuss how we can scale up data analytics techniques for modeling and analyzing big data from various domains.
WSDM'15研讨会摘要/可伸缩数据分析:理论和应用
继IEEE Big Data 2013、PAKDD 2014、IEEE Big Data 2014和IEEE ICDM 2014举办的四次SDA研讨会之后,WSDM 2015的SDA研讨会是第五届可扩展数据分析国际研讨会。该系列研讨会旨在为专业人士、研究人员和技术人员提供一个单一的论坛,在这里他们可以讨论和分享最新的理论和可扩展数据分析技术的应用。特别是在信息爆炸的时代,科学、生物医学和工程研究界正在经历一场深刻的变革,发现和创新越来越依赖于大量的数据。海量大数据所产生的海量、快速、多样、准确等特征,给当前的数据分析技术带来了挑战。第五届SDA的重点是讨论我们如何扩展数据分析技术,以建模和分析来自各个领域的大数据。
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