Latitude, longitude, and beyond: mining mobile objects' behavior

Mitra Baratchi

Abstract

Rapid advancements in Micro-Electro-Mechanical Systems (MEMS), and wireless communications, have resulted in a surge in data generation. Mobility data is one of the various forms of data, which are ubiquitously collected by different location sensing devices. Extensive knowledge about the behavior of humans and wildlife is buried in raw mobility data. This knowledge can be used for realizing numerous viable applications ranging from wildlife movement analysis, to various location-based recommendation systems, urban planning, and disaster relief. With respect to what mentioned above, in this thesis, we mainly focus on providing data analytics for understanding the behavior and interaction of mobile entities (humans and animals). To this end, the main research question to be addressed is: How can behaviors and interactions of mobile entities be determined from mobility data acquired by (mobile) wireless sensor nodes in an accurate and efficient manner? To answer the above-mentioned question, both application requirements and technological constraints are considered in this thesis. On the one hand, applications requirements call for accurate data analytics to uncover hidden information about individual behavior and social interaction of mobile entities, and to deal with the uncertainties in mobility data. Technological constraints, on the other hand, require these data analytics to be efficient in terms of their energy consumption and to have low memory footprint, and processing complexity.
Original languageEnglish
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • Havinga, Paul J.M., Supervisor
  • Skidmore, Andrew , Supervisor
  • Meratnia, Nirvana , Advisor
Sponsors
Date of Award24 Jun 2015
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-3892-3
DOIs
StatePublished - 24 Jun 2015

Fingerprint

mobility
data
behavior
interaction
constraint
location
human being
personalization
latitude
urban planning
energy consumption
disaster
communications
animal
uncertainty
memory
complexity
understanding
individual
information

Keywords

  • mobility data analysis
  • Big data
  • DB-DM: DATA MINING
  • Data Mining
  • EWI-26149
  • Ubiquitous Computing

Cite this

Baratchi, M. (2015). Latitude, longitude, and beyond: mining mobile objects' behavior Enschede: Centre for Telematics and Information Technology (CTIT) DOI: 10.3990/1.9789036538923, 10.3990/1.9789036538923
Baratchi, Mitra. / Latitude, longitude, and beyond : mining mobile objects' behavior. Enschede : Centre for Telematics and Information Technology (CTIT), 2015. 170 p.
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title = "Latitude, longitude, and beyond: mining mobile objects' behavior",
abstract = "Rapid advancements in Micro-Electro-Mechanical Systems (MEMS), and wireless communications, have resulted in a surge in data generation. Mobility data is one of the various forms of data, which are ubiquitously collected by different location sensing devices. Extensive knowledge about the behavior of humans and wildlife is buried in raw mobility data. This knowledge can be used for realizing numerous viable applications ranging from wildlife movement analysis, to various location-based recommendation systems, urban planning, and disaster relief. With respect to what mentioned above, in this thesis, we mainly focus on providing data analytics for understanding the behavior and interaction of mobile entities (humans and animals). To this end, the main research question to be addressed is: How can behaviors and interactions of mobile entities be determined from mobility data acquired by (mobile) wireless sensor nodes in an accurate and efficient manner? To answer the above-mentioned question, both application requirements and technological constraints are considered in this thesis. On the one hand, applications requirements call for accurate data analytics to uncover hidden information about individual behavior and social interaction of mobile entities, and to deal with the uncertainties in mobility data. Technological constraints, on the other hand, require these data analytics to be efficient in terms of their energy consumption and to have low memory footprint, and processing complexity.",
keywords = "mobility data analysis, Big data, DB-DM: DATA MINING, Data Mining, EWI-26149, Ubiquitous Computing",
author = "Mitra Baratchi",
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Latitude, longitude, and beyond : mining mobile objects' behavior. / Baratchi, Mitra.

Enschede : Centre for Telematics and Information Technology (CTIT), 2015. 170 p.

Research output: ScientificPhD Thesis - Research UT, graduation UT

TY - THES

T1 - Latitude, longitude, and beyond

T2 - mining mobile objects' behavior

AU - Baratchi,Mitra

PY - 2015/6/24

Y1 - 2015/6/24

N2 - Rapid advancements in Micro-Electro-Mechanical Systems (MEMS), and wireless communications, have resulted in a surge in data generation. Mobility data is one of the various forms of data, which are ubiquitously collected by different location sensing devices. Extensive knowledge about the behavior of humans and wildlife is buried in raw mobility data. This knowledge can be used for realizing numerous viable applications ranging from wildlife movement analysis, to various location-based recommendation systems, urban planning, and disaster relief. With respect to what mentioned above, in this thesis, we mainly focus on providing data analytics for understanding the behavior and interaction of mobile entities (humans and animals). To this end, the main research question to be addressed is: How can behaviors and interactions of mobile entities be determined from mobility data acquired by (mobile) wireless sensor nodes in an accurate and efficient manner? To answer the above-mentioned question, both application requirements and technological constraints are considered in this thesis. On the one hand, applications requirements call for accurate data analytics to uncover hidden information about individual behavior and social interaction of mobile entities, and to deal with the uncertainties in mobility data. Technological constraints, on the other hand, require these data analytics to be efficient in terms of their energy consumption and to have low memory footprint, and processing complexity.

AB - Rapid advancements in Micro-Electro-Mechanical Systems (MEMS), and wireless communications, have resulted in a surge in data generation. Mobility data is one of the various forms of data, which are ubiquitously collected by different location sensing devices. Extensive knowledge about the behavior of humans and wildlife is buried in raw mobility data. This knowledge can be used for realizing numerous viable applications ranging from wildlife movement analysis, to various location-based recommendation systems, urban planning, and disaster relief. With respect to what mentioned above, in this thesis, we mainly focus on providing data analytics for understanding the behavior and interaction of mobile entities (humans and animals). To this end, the main research question to be addressed is: How can behaviors and interactions of mobile entities be determined from mobility data acquired by (mobile) wireless sensor nodes in an accurate and efficient manner? To answer the above-mentioned question, both application requirements and technological constraints are considered in this thesis. On the one hand, applications requirements call for accurate data analytics to uncover hidden information about individual behavior and social interaction of mobile entities, and to deal with the uncertainties in mobility data. Technological constraints, on the other hand, require these data analytics to be efficient in terms of their energy consumption and to have low memory footprint, and processing complexity.

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M3 - PhD Thesis - Research UT, graduation UT

SN - 978-90-365-3892-3

PB - Centre for Telematics and Information Technology (CTIT)

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Baratchi M. Latitude, longitude, and beyond: mining mobile objects' behavior. Enschede: Centre for Telematics and Information Technology (CTIT), 2015. 170 p. Available from, DOI: 10.3990/1.9789036538923, 10.3990/1.9789036538923