His main research interests are data mining and information security.
He brings a significant amount of experience in both data mining and data security, areas where RelateIQ will benefit from Patil's expertise.
(In his work, Zhao happens to specialize in "large-distributed networks and systems, data mining and modeling, security and privacy, and wireless / mobile systems," with current projects focused on "querying, modeling and mining massive graphs, analysis of social networks and online communities, and wireless systems and protocols").
Members of the editorial board, led by the Editors-in-Chief Professor Jianzhong Li from Harbin Institute of Technology and Professor Elisa Bertino from Purdue University, have a strong background in databases, data mining and analytics, privacy and security, machine learning, etc., and are based in different countries throughout the world.
Thus far the Places co-founders — who have backgrounds in networks, security, distributed systems, psychology, AI, data mining and text mining — have been bootstrapping Places.
Information security is gaining widespread importance in distributed decision support systems [T.S. Raghu, and H. Chen, Cyberinfrastructure for homeland security: Advances in information sharing, data mining, and collaboration systems. Decision Support Systems 43 (2007) 1321 1323].
Hence, how to make use of data mining and machine learning techniques for big data processing with guaranties of privacy and security is very worthy of study. 5.
Privacy and security perspective: The concern of data privacy has become extremely serious with using data mining and machine learning technologies to analyze personal information in order to produce relevant or accurate results.
