Volume 3 Number 6 (Dec. 2013)
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IJEEEE 2013 Vol.3(6): 502-506 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.287

ALAMA: App Logs as Measurement Approximation

Naveen Nandan, Wang Ting, and Daniel Dahlmeier
Abstract— The penetration of mobile devices in our daily lives is becoming quite significant with the advancement in technology. Data in the form of logs generated from user interaction with various apps is increasing at an alarming rate. The system developed demonstrates real-time analytics and visualization of data from mobile app logs for traffic and weather. The methodology used goes by the approximation that the app logs are an indication of the actual measurement of traffic and weather conditions, if not exact. The system architecture illustrates the capability to easily integrate actual traffic and weather data sources if made available or, in general, the capability of the system to handle any spatio-temporal data sources.

Index Terms— Context-based services, real-time analytics, real-time data visualization, urban data mining.

Naveen Nandan, Wang Ting, and Daniel Dahlmeier are with Research & Innovation, SAP Customer Engagement & Strategic Projects, Singapore (e-mail: {naveen.nandan, dean.wang, d.dahlmeier}@sap.com).

Cite: Naveen Nandan, Wang Ting, and Daniel Dahlmeier, " ALAMA: App Logs as Measurement Approximation," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 6, pp. 502-506, 2013.

General Information

ISSN: 2010-3654 (Online)
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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