Recent advances in big data analysis and application

With the rapid development of information and network technology in recent years, massive data from many different kinds of applications, such as social network, e-business, intelligent transportation and medical diagnosis [1], can be generated, collected, and aggregated under various circumstances and scenarios like WAN, LAN, mobile Internet, Internet of things, and so on [2]. The potential value of big data can only be exploited and unleashed by means of efficient big data analysis and application. Meanwhile, big data-related security has also drawn much attention from both the academy and industry with its increasing importance. For these reasons, new methodologies and technologies need to be proposed and developed for advancing both big data analytics and applications. This special issue focuses on a new strategic research area that addresses “Recent Advances in Big Data Analysis and Application.” From those submitted papers for the 3rd International Conference on Advanced Cloud and Big Data (CBD 2015) held in Yangzhou, Jiangsu, China, on October 30 to November 1, 2015, 9 papers are selected that target the following research issues in big data:

[1]  Olha Buchel,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .

[2]  Fang Dong,et al.  Enabling application‐aware flexible graph partition mechanism for parallel graph processing systems , 2017, Concurr. Comput. Pract. Exp..

[3]  Jia Zhu,et al.  A topic community‐based method for friend recommendation in large‐scale online social networks , 2017, Concurr. Comput. Pract. Exp..

[4]  Qing-Qing Xie,et al.  Personalized extended (α, k)‐anonymity model for privacy‐preserving data publishing , 2017, Concurr. Comput. Pract. Exp..

[5]  Shuai Li,et al.  A novel method based on MapReduce to extract auxiliary information for GNSS receivers , 2017, Concurr. Comput. Pract. Exp..

[6]  Jie Xu,et al.  A new closed frequent itemset mining algorithm based on GPU and improved vertical structure , 2017, Concurr. Comput. Pract. Exp..

[7]  Ming Yang,et al.  A novel attack to track users based on the behavior patterns , 2017, Concurr. Comput. Pract. Exp..

[8]  J. Manyika Big data: The next frontier for innovation, competition, and productivity , 2011 .

[9]  Jin Wang,et al.  Towards traffic minimization for data placement in online social networks , 2017, Concurr. Comput. Pract. Exp..

[10]  Genlin Ji,et al.  Semi‐supervised incremental feature extraction algorithm for large‐scale data stream , 2017, Concurr. Comput. Pract. Exp..

[11]  Bin Li,et al.  Wound intensity correction and segmentation with convolutional neural networks , 2017, Concurr. Comput. Pract. Exp..

[12]  Yadira Espinal Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think , 2013 .