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  1.  50
    Status of Big Data In Internet of Things: A Comprehensive Overview.Peter Alphonce & Lusekelo Kibona - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (3):5-9.
    Abstract: Reports suggests that total amount of data generated everyday reaches 2.5 quintillion bytes [9], annual global IP traffic run rate in 2016 was 1.2 zettabytes and will reach 3.3 zettabytes by 2021 [12]. According to Gartner [25], Internet of Things excluding personal computers, tablets and smartphones will grow to 26 billion units of installed devices in year 2020. This results from penetration of digital applications which highly motivated by smart societies which can be defined as to when a society (...)
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  2.  37
    Wireless Network Security: Challenges, Threats and Solutions. A Critical Review.Lusekelo Kibona & Hassana Ganame - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (2):19-26.
    Abstract: Wireless security is the avoidance of unlawful access or impairment to computers using wireless networks. Securing wireless network has been a research in the past two decades without coming up with prior solution to which security method should be employed to prevent unlawful access of data. The aim of this study was to review some literatures on wireless security in the areas of attacks, threats, vulnerabilities and some solutions to deal with those problems. It was found that attackers (hackers) (...)
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  3.  30
    A Review Paper on Scope of Big Data Analysis in Heath Informatics.Kazi Md Shahiduzzaman, Lusekelo Kibona & Hassana Ganame - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (5):1-8.
    Abstract— The term Health Informatics represent a huge volume of data that is collected from different source of health sector. Because of its’ diversity in nature, quite a big number of attributes, numerous amount data, health informatics can be considered as Big Data. Therefore, different techniques used for analyzing Big Data will also fit for Health Informatics. In recent years, implementation of Data Mining on Health Informatics brings a lot of fruitful outcomes that improve the overall healthcare system both in (...)
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  4.  21
    A Survey on Idea Mining: Techniques and Application.Nicholaus J. Gati & Lusekelo Kibona - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (3):1-4.
    Abstract: Idea mining is an interesting field in the area of information retrieval and it is increasingly becoming important asset for decision makers. Huge volumes of high quality data from various sources such as scanners, mobile phones, loyalty cards, the web, and social media platforms presents enormous opportunity for organization to achieve success in their businesses. It is possible to achieve this by properly analysing data to reveal feature patterns; hence decision makers can capitalize upon the resulting ideas from wealth (...)
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  5.  19
    Evaluation of The Impact Brought By Social Networks on Academic Performance of Higher Learning Students A Case of State University of Zanzibar (Suza).Othman Mohammed Ahmed & Lusekelo Kibona - 2018 - International Journal of Academic Management Science Research (IJAMSR) 2 (3):14-24.
    Abstract: Social networking sites and applications play an important role in the present generation or in today’s society in terms of communications and learning environment to some extent in which now educators or teachers are finding the way on how can these social networks be used as teaching and learning tools. Even though they have simplified communications among students and teachers they have also brought some impact to students in academic performance. The aim of this study was to explore how (...)
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  6.  13
    Internet Topology:Forces Behind A Shift From Hierarchical To Flattened Peering.Peter Alphonce & Lusekelo Kibona - 2018 - International Journal of Academic Engineering Research (IJAER) 2 (3):16-21.
    Abstract: Internet is a network of networks which share information to each other through Internet Protocol. Internet taxonomy was designed to not depend on a single point of access to propagate information from host source to host destination, this had led to dependability among Autonomous Systems for reachability and connectivity information. Internet, a highly engineered, large scale complex system, viewed as a hierarchy of connected tiers of Autonomous Systems from which lower tier depend on higher tier for routing mostly transit (...)
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