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Kahanda, I. and Neville, J. (2009) Using Transactional Information to Predict Link Strength in Online Social Networks. Proceedings of the 3rd International Conference on Weblogs and Social Media (ICWSM), West Lafayette, June 2009, 74-81.

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• TITLE: Mobile Data Mining-Based Services on the Base of Mobile Device Management (MDM) System

  AUTHORS: Mazin Omar Khairo

  KEYWORDS: Data Mining, Mobile Device Management, User Recommendation, KDE Software Package

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.5 No.3, July 30, 2014

  ABSTRACT: Client software on mobile devices that can cause the remote control perform data mining tasks and show production results is significantly added the value for the nomadic users and organizations that need to perform data analysis stored in the repository, far away from the site, where users work, allowing them to generate knowledge regardless of their physical location. This paper presents new data analysis methods and new ways to detect people work location via mobile computing technology. The growing number of applications, content, and data can be accessed from a wide range of devices. It becomes necessary to introduce a centralized mobile device management. MDM is a KDE software package working with enterprise systems using mobile devices. The paper discussed the design system in detail.