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19th MDM 2018: Aalborg, Denmark
- 19th IEEE International Conference on Mobile Data Management, MDM 2018, Aalborg, Denmark, June 25-28, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-4133-0
Panel Abstract
- Demetrios Zeinalipour-Yazti:
Future Directions for Indoor Information Systems: A Panel Discussion. 1-2
Advanced Seminars
- Sanjay Madria:
Sensor Cloud: Sensing-as-a-Service Paradigm. 3-6 - Goce Trajcevski, Peter Scheuermann:
Targets and Shapes Tracking (Advanced Seminar). 7-10 - Constantinos Costa
, Demetrios Zeinalipour-Yazti:
Telco Big Data: Current State & Future Directions. 11-14
Research Papers
Session 1: Trip Planning
- Elham Ahmadi, Mario A. Nascimento:
Optimal Meeting Points for Public Transit Users. 15-23 - Dimitrios Tomaras, Vana Kalogeraki
Crowd-Based Ecofriendly Trip Planning. 24-33 - Sanjay Madria, San Yeung, Katrina Ward:
Ridesharing-Inspired Trip Recommendations. 34-39 - Georgi Andonov, Bin Yang
Stochastic Shortest Path Finding in Path-Centric Uncertain Road Networks. 40-45
Session 2: Data Mining and Machine Learning on Mobile Data 1
- Mikkel Baun Kjærgaard
DCount - A Probabilistic Algorithm for Accurately Disaggregating Building Occupant Counts into Room Counts. 46-55 - Shixin Luo, Yibin Ng, Terence Zheng Wei Lim, Cliff Choon Hua Tan, Nannan He, Giuseppe Manai, Ying Li:
Improved Localisation Using Spatio-Temporal Data from Cellular Network. 56-65 - Saeid Hosseini
Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis. 66-75
Session 3: Trajectory Mining 1
- Abdullah M. Sawas, Abdullah Abuolaim, Mahmoud Afifi, Manos Papagelis:
Tensor Methods for Group Pattern Discovery of Pedestrian Trajectories. 76-85 - Priit Järv, Tanel Tammet, Marten Tall:
Hierarchical Regions of Interest. 86-95 - Robert Waury, Christian S. Jensen
Adaptive Travel-Time Estimation: A Case for Custom Predicate Selection. 96-105
Session 4: Data Mining and Machine Learning on Mobile Data 2
- Constantinos Costa
Decaying Telco Big Data with Data Postdiction. 106-115 - Guoqiong Liao, Shan Jiang, Zhiheng Zhou, Changxuan Wan, Xiping Liu
POI Recommendation of Location-Based Social Networks Using Tensor Factorization. 116-124 - Tung Kieu
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. 125-134
Session 6: Trajectory Mining 2
- Dan He, Boyu Ruan, Bolong Zheng, Xiaofang Zhou
Origin-Destination Trajectory Diversity Analysis: Efficient Top-k Diversified Search. 135-144 - Amílcar Soares Júnior
A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. 145-154 - Nikolaos Zygouras, Dimitrios Gunopulos
Corridor Learning Using Individual Trajectories. 155-160 - Cristian Chilipirea
Identifying Movements in Noisy Crowd Analytics Data. 161-166
Session 7: Private Query Processing and Ride Sharing
- Cheng Xu
Distributed kNN Query Authentication. 167-176 - Layla Pournajaf, Farnaz Tahmasebian, Li Xiong
Privacy Preserving Reverse k-Nearest Neighbor Queries. 177-186 - Xun Yi, Fang-Yu Rao, Gabriel Ghinita, Elisa Bertino:
Privacy-Preserving Spatial Crowdsourcing Based on Anonymous Credentials. 187-196 - Xiaoyi Fu, Ce Zhang, Hua Lu
Efficient Matching of Offers and Requests in Social-Aware Ridesharing. 197-206
Session 8: Mobile Data Processing
- Himanshu Jethawa, Sanjay Madria:
Reputation and Credit Based Incentive Mechanism for Data-Centric Message Delivery in DTNs. 207-216 - Yuya Sasaki, Takahiro Hara, Yoshiharu Ishikawa:
Top-k Query Processing with Replication Strategy in Mobile Ad Hoc Networks. 217-226 - Garvita Bajaj, Pushpendra Singh:
Load-Balanced Task Allocation for Improved System Lifetime in Mobile Crowdsensing. 227-232 - Shen Wang
ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data. 233-238
Session 9: Crowd Sourcing and LBSN
- Ellen Mitsopoulou, Ioannis Boutsis, Vana Kalogeraki
A Cost-Aware Incentive Mechanism in Mobile Crowdsourcing Systems. 239-244 - Muhammad Aamir Saleem, Felipe Soares Da Costa
Predicting Visitors Using Location-Based Social Networks. 245-250 - Yijun Su, Xiang Li, Wei Tang, Ji Xiang, Yuanye He:
Next Check-in Location Prediction via Footprints and Friendship on Location-Based Social Networks. 251-256
Industrial Papers Session (Session 5)
- Ove Andersen, Kristian Torp:
Accurate Fuel Estimates Using CAN Bus Data and 3D Maps. 257-265 - Yukun Huang, Weixiong Rao, Zhiqiang Zhang
Frequent Pattern-Based Map-Matching on Low Sampling Rate Trajectories. 266-273
Demo Papers
- Thomas F. Olsen, Kasper F. Pedersen, Dennis Rasmussen, Kristian Torp:
DriveLaB: A Platform for Reducing Speeding. 274-275 - Douglas Alves Peixoto, Han Su, Nguyen Quoc Viet Hung
Concept for Evaluation of Techniques for Trajectory Distance Measures. 276-277 - Marc Beuchert, Steffen Hald Jensen, Omar Ali Sheikh-Omar, Mathias Bach Svendsen, Bin Yang
aSTEP: Aau's Spatio-TEmporal Data Analytics Platform. 278-279 - Constantinos Costa
TBD-DP: Telco Big Data Visual Analytics with Data Postdiction. 280-281 - Benjamin Sliwa, Thomas Liebig
Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication. 282-283 - Johannes Pillmann, Benjamin Sliwa, Christian Wietfeld:
The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces. 284-285 - Abdullah M. Sawas, Abdullah Abuolaim, Mahmoud Afifi, Manos Papagelis
Trajectolizer: Interactive Analysis and Exploration of Trajectory Group Dynamics. 286-287 - Marileni Angelidou, Constantinos Costa
FMS: Managing Crowdsourced Indoor Signals with the Fingerprint Management Studio. 288-289 - Xin Ding, Rui Chen, Lu Chen
VIPTRA: Visualization and Interactive Processing on Big Trajectory Data. 290-291 - Bulat Nasrulin, Muhammad Muzammal
ChainMOB: Mobility Analytics on Blockchain. 292-293 - Michael R. Entin, Colin M. Heirichs, Alan Peine, Evan R. Warych, James Timmerman, Shane Cresmore:
Data Analytics for Snow Plow Trucks Fleet. 294-295
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