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IEEE Systems Journal Special Issue on “Data Mining in Cyber, Physical and Social Computing” CALL FOR PAPERS GUEST EDITORS Jun Liu, Xi’an Jiaotong University, China, [email protected] Zheng Yan, Xidian University, China / Aalto University, Finland, [email protected] / [email protected] Athanasios V. Vasilakos, University of Western Macedonia, Greece, [email protected] Laurence T. Yang, St. Francis Xavier University, Canada, [email protected] SCOPE Cyber, physical and social computing (CPSCom) systems are systems-of-systems which integrate everyday life devices, or “things”, into heterogeneous network environments in order to ubiquitously extend today’s Internet, cellular networks and self-organized networks to monitor, interact, communicate, and control objects related to humans and thus intelligently serve human beings. Data mining in these systems-of-systems is an essential and integral part of CPSCom to forecast user needs and behaviors, decide service strategies, control the “things” in reverse, and more importantly provide “only here, only now and only me” services. However, the massive, heterogeneous and non-synchronous data sensed or collected in CPSCom introduces significant challenges to data mining, for example, data privacy preservation, information synchronization and process trust, holographic data fusion, authenticity and reliability of data aggregation and huge data process efficiency. Prior arts only researched some rudiments, new models and theories are expected to direct future research and achieve advanced performance. How to holistically achieve efficient, accurate, secure, privacy-preserved, reliable and holographic, i.e., in short “trustworthy” data mining in CPSCom has become crucial of importance that significantly impacts its future success. In recent years, data mining has gained attention and has been seriously studied both in academia and industry in order to support successful CPSCom applications and services. This special issue aims at presenting advanced academic and industrial research results related to Data Mining in CPSCom, specifically focusing on the aspects related to complex systems and systems-of-systems. Systemlevel topics of interest include, but are not limited to: • Data collection, extraction and abstraction in CPSCom • Data clustering and classification in CPSCom • Information synchronization and aggregation in CPSCom • Information fusion and data mining algorithms • Neural network computing and learning automata • Modeling related to data mining in CPSCom • Information fusion in CPSCom • Data trust, security and privacy in CPSCom • Efficient and trustworthy huge data process • Data mining in social networking • Data mining in cloud computing • Data mining in systems-of-systems • Privacy enhancement technologies in data mining • Smart grid and smart metering • Data mining in pervasive computing • Applications and services of data mining in CPSCom SUBMISSION GUIDELINES Authors are invited to submit original research contributions by following the detailed instructions given in the “Information for Authors” at http://ieeesystemsjournal.org. In the cover letter, authors should explicitly state that the paper is submitted to the “Special Issue on Data Mining in Cyber, Physical and Social Computing”. Questions about the special issue should be directed to the Guest Editors. SCHEDULE Paper submission deadline: Notification of the first review: Revised paper submission: Notification of the re-review: July 30, 2014 November 15, 2014 December 31, 2014 February 16, 2014 Minor revision deadline: Final notification: Final manuscript: Expected publication: March 13, 2015 April 15, 2015 May 15, 2015 late 2015
