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

Mazin Omar Khairo
2014 Journal of Signal and Information Processing  
MDM is a KDE software package working with enterprise systems using mobile devices. The paper discussed the design system in detail.  ...  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.  ...  Data shall be periodically assessed using specific data mining algorithms and the results will be used to make decisions for a specific goal. • Mobile devices are used to perform data mining.  ... 
doi:10.4236/jsip.2014.53011 fatcat:a4rrblsk45ggrj2watzqsgezqu


Samiran Saikia, B Saleena, B Prakash
2017 Asian Journal of Pharmaceutical and Clinical Research  
Using the results, a dynamic location area for individual user's current location can be created.  ...  In GSM networks the task of keeping track of a mobile user (MU) and relaying an incoming call, is called location management. It basically includes two processes, location update and paging.  ...  Location management in cellular networks deals with how to keep track of an active mobile station within the cellular network.  ... 
doi:10.22159/ajpcr.2017.v10s1.19748 fatcat:kgmdonb7kfadbdvstucijiaoc4

Role of Big Data Analytics in Cellular Network Design

Pushpa Mannava
2015 International Journal of Scientific Research in Science and Technology  
Data mining strategies are offering terrific aid in the location of Big Data analytics, considering that handling Big Data allow challenges for the applications.  ...  Big Data is an arising idea that describes innovative methods and also modern technologies to assess big volume of complicated datasets that are greatly created from numerous sources and with numerous  ...  ROLE OF BIG DATA ANALYTICS IN CELLULAR NETWORK DESIGN In this section, we assess the research study done on using big data analytics for the layout of cellular networks.  ... 
doi:10.32628/ijsrst207254 fatcat:iqbnci5jvvddlf5g2co723j4m4

DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing

Kaisa Zhang, Gang Chuai, Jinxi Zhang, Xiangyu Chen, Zhiwei Si, Saidiwaerdi Maimaiti
2022 Remote Sensing  
Data analysis becomes particularly important for wireless networks. In this paper, a method for analyzing cellular traffic data was proposed.  ...  At the same time, this method can play a crucial role for urban computing in network management, intelligent transportation, base station siting and energy consumption when combined with remote sensing  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14061439 fatcat:biapd7cpdvehxprozwqsqe3aai

An Evolving Mobile E-Health Service Platform

Dongsoo Han, In-Young Ko, Sungjoon Park
2007 2007 Digest of Technical Papers International Conference on Consumer Electronics  
With the wide spread use of cellular phones and the increased interests in the well-being of people, many vendors of cellular phones start to embed a variety of e-health services in their cellular phones  ...  In this paper, we propose an e-health platform on which e-health services can be systematically developed by utilizing various functions and features, and by following guidelines provided by the platform  ...  By using this method, developers can define a service template in a form of process containing steps like bio data gathering, An Evolving Mobile E-Health Service Platform Dongsoo Han, In-Young Ko, and  ... 
doi:10.1109/icce.2007.341318 fatcat:hoolw4khznej7kznwzjacdqt7q

Design of Big Data Analytics using Unified Data Modelling Systems in Mobile Cellular Networks

V. Ramakrishan, Dr. Anbalagan, Dr. M.S. Saravanan, Saveetha School of Enginnering
2020 International Journal of Engineering Research and  
Then, we present an architectural framework for applying the big data analytics in the mobile cellular networks.  ...  Finally, we discuss a number of open research challenges of the big data analytics in the mobile cellular networks. INDEX TERMS :-Big data analytics, mobile cellular networks. I.  ...  Meanwhile, various suitable data analysis methods for mobile cellular networks can be integrated into Hadoop platforms.  ... 
doi:10.17577/ijertv9is040099 fatcat:tbh4zbp3wzfxlbr2uyvt2wmewi

A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services

Anuj Sharma, Prabin Kumar Panigrahi
2011 International Journal of Computer Applications  
As the cellular network services market becoming more competitive, customer churn management has become a crucial task for mobile communication operators.  ...  This paper proposes a neural network based approach to predict customer churn in subscription of cellular wireless services.  ...  Similarly, the term churn management in the cellular network services industry is used to describe the practices of securing the most important customers for a company [11] .  ... 
doi:10.5120/3344-4605 fatcat:p6qfvsggk5cevcmiiytdhah7c4

The Cloud Management System Based on Micro Station Cell Energy Management

Liu Hongyan
2016 International Journal of Grid and Distributed Computing  
In cellular networks, as a result of the heterogeneous network layout, a number of community, in the entire network, micro base station district energy management issues that need to be unified management  ...  The huge energy consumption of the wireless base station also produced a large number of electricity, in mature markets in Europe, about 18% mobile operators operating expenses for electricity,  ...  There is a more feasible method to shorten the transmission distance so as to reduce power and improve the transmission rate, cellular network deployment scheme based on small micro cellular, cellular  ... 
doi:10.14257/ijgdc.2016.9.1.04 fatcat:wew3i2bctfh2peiydu2puzbwey

Cloud based Software Defined Wireless Body Area Networks Architecture for Virtual Hospital

MD AL SHAYOKH, Jin Woo Kim, Soo Young Shin
2015 Proceedings of the 10th EAI International Conference on Body Area Networks  
From networking perspective, Software Defined Networking (SDN) becomes popular for its centralized nature to manage complex network infrastructure.  ...  Recent developments in wireless communication inflate a new area of research named as Wireless Body Area Networks.  ...  In this figure, mobile devices will act as a gateway for the WBANs and could access the unified SDN network via Wi-Fi or cellular networks for coordinating with cloud.  ... 
doi:10.4108/eai.28-9-2015.2261508 dblp:conf/bodynets/ShayokhKS15 fatcat:xfjt4alsvfbsriadzgcypt3oti

Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop

Jun Liu, Feng Liu, Nirwan Ansari
2014 IEEE Network  
In order to support the explosive growth of data volume, cellular network operators need to manage and plan their network resources accordingly.  ...  ith the proliferation of powerful mobile devices, innovative mobile applications, and increased spectrum availability, cellular networks are emerging as the primary means for accessing the Internet.  ...  commercial cellular network of a leading mobile operator in China.  ... 
doi:10.1109/mnet.2014.6863129 fatcat:vr4payepc5eqxkdl7cfzfwzcvy

A Survey on Next-Cell Prediction in Cellular Networks: Schemes and Applications

Linyu Huang, Liang Lu, Wei Hua
2020 IEEE Access  
ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their valuable comments and suggestions that helped improve the quality of this paper.  ...  For better understanding and management of these methods, we propose a classification methodology based on the types of mobility data used by prediction.  ...  Handover management is the key to achieve continuous service for cellular networks.  ... 
doi:10.1109/access.2020.3036070 fatcat:p7augewwhfan3ndsgcqqd2mm5q

Next Loc-An Approach for Mobile users Future Location Prediction

Joji Sebastian
2019 International Journal of Wireless Communications and Network Technologies  
Faster development in cellular networks provides faster and seamless services to mobile users. Mobility management is an important issue in the area of mobile communication.  ...  Within the cellular networks, movement track of mobile user is provided by the location management [1] .  ...  Another method used for location prediction is the cellular symbolic location of a mobile user, the issue related to this method is that predictions based only on the movement history of a user are limited  ... 
doi:10.30534/ijwcnt/2019/08832019 fatcat:u2lcma4bq5cb5e3xbn66ttfkke

A Study of Mobile User Movements Prediction Methods

J. Venkata Subramanian, S. Govindarajan
2018 International Journal of Electrical and Computer Engineering (IJECE)  
<p>For a decade and more, the Number of smart phone users count increasing day by day.  ...  In this paper, we propose a study of several Location Prediction Techniques in the following areas</p>  ...  Association Rules The Authors [5] selected the well known Association Rules from Data Mining to find the solutions for Mobility Prediction and Location Management.  ... 
doi:10.11591/ijece.v8i5.pp3112-3117 fatcat:pqw2w2wohrdqnleonj52qolmge

Examining the Status of Big Healthcare Data in Mobile Environments: Framework Criteria and Selection

Erdal Erdal
2018 International Journal of Trend in Scientific Research and Development  
Mobile applications have gained importance in areas that are not tolerated to delay or loss of data such as health field. There should be some sensitivity in the development of such applications.  ...  Mobile devices are the center of our lives. The use of the devices exceeded their development objectives.  ...  for devices using cellular networks.  ... 
doi:10.31142/ijtsrd18965 fatcat:mk2dkhyez5bu3a5bzyrevsjn6m

The Internet of Things: A Review of Enabled Technologies and Future Challenges

Ikram Ud Din, Mohsen Guizani, Suhaidi Hassan, Byung-Seo Kim, Muhammad Khurram Khan, Mohammed Atiquzzaman, Syed Hassan Ahmed
2019 IEEE Access  
This paper provides a summary of the existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual  ...  reality, and cellular communications.  ...  Data mining techniques are used to manage a huge amount of data created by IoT devices [124] . Several data mining models and methods have been proposed in the last few years [125] , [126] .  ... 
doi:10.1109/access.2018.2886601 fatcat:ouavbxe7fndhrj6fwpmdyelvo4
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