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    Dynamic quota calculation system (DQCS): Pricing and quota allocation of telecom customers via data mining approaches
    (IGI Global, 2018) Çelenk, Ulaş; Çelik Ertuğrul, Duygu; Zontul, Metin; Elçi, Atilla; Uçan, Osman Nuri
    One of the most important IT sectors that requires big data management is mobile data communication systems (MDCS) of GSM companies. In the charging mechanism of current MDCS, a subscriber "surfs" on the internet that creates data traffic and a counter subtracts the amount of data used by the user from the subscriber's quota. In other words, instant constant quota values are assigned to subscribers without concern for their previous amount of internet usage in current MDCS. Moreover, constant quota values cause constant charge calls in control traffic that are repeated for all new quota requests. Thus, performance degradation occurs because of the repetition of quota request calls and allocations. In this chapter, a dynamic quota calculation system (DQCS) is proposed for dynamic quota allocations and charging in MDCS using data mining approaches as two cascaded blocks. The first block is selforganizing map (SOM) clustering based on a sliding window (SW) methodology followed by the second block, which is the markov chain (MC); the overall system is denoted as "SOM/SW and MC." © 2018, IGI Global.
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    TrackARTI: Mobile health tracking system for pediatric patients with acute respiratory tract infection
    (Aksaray Üniversitesi, 2018) Çelik Ertuğrul, Duygu; Zontul, Metin; Bitirim, Yiltan; Taymaz, Gökhan
    This study introduces the Remote Medical Tracking Mobile System (TrackARTI) which guides parents or health expert users in the treatment of Acute Respiratory Tract Infections (ASYE) diseases for children aged 0-6 years. The main purpose of this system is to gather actual data belonging to the medical cases of ASYE period in various environments instantly, to display them when requested, to store them in structural form in order to understand by machines, to deduce the data through its retrieval mechanism and to make personalized medical suggestions or to present relevant new data inferred. The main user group of the system is pediatric specialists and parents. The main stakeholders of this system are parents, child patients, pediatric specialists and health personnel. The proposed TrackARTI system is an example of intelligent M-Health systems. The system has two basic outputs: TrackARTI Artificial Intelligence based Inferencing Mechanism and TrackARTI Mobile Application. In addition, the Artificial Intelligence based Inferencing Mechanism of the system involves two main activities in itself; 1) Medical Image Processing based Inferencing and 2) Semantic Web Based Inferencing of new medical data and suggestions through its Inference Rules.