A behavior observation tool (BOT) for mobile device network connection logs
Author: 
Ting WangAuthors Info & Claims
Ting WangAuthors Info & ClaimsPages 1253 - 1258
Abstract
With the advances of sensory, satellite and mobile communication technologies in recent decades, locational data become widely available. A lot of work has been developed to find useful information from these data, and various approaches have been proposed. In this work, we aim to use one specific type of locational data -- network connection logs of mobile devices, which is widely available and easily accessible to telecom companies, to identify and extract active areas of users. This is a challenging topic due to the existence of inaccurate location and fluctuating log time intervals of this kind of data. In order to observe user behavior from this kind of data set, we propose a new algorithm, namely Behavior Observation Tool (BOT), which uses Convex Hull Algorithm with sliding time windows to model the user's movement, and thus knowledge about the user's lifestyle and habits can extracted from the mobile device network logs.
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Index Terms
- A behavior observation tool (BOT) for mobile device network connection logs
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Information & Contributors
Information
Published In
April 2014
1396 pages
ISBN:9781450327459
DOI:10.1145/2567948
- General Chair:
- Chin-Wan Chung,
- Program Chairs:
- Andrei Broder,
- Kyuseok Shim,
- Torsten Suel
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- IW3C2: International World Wide Web Conference Committee
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 07 April 2014
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WWW '14
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- IW3C2
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