NDLI: Trajectory Data Mining: An Overview

Please wait, while we are loading the content...

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 8

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 7

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 6

Issue 4(Regular Papers and Special Section on Intelligent Healthcare Informatics), August 2015

Issue 3(Survey Paper, Regular Papers and Special Section on Participatory Sensing and Crowd Intelligence), May 2015

Trajectory Data Mining: An Overview

Identifying Authorities in Online Communities

Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information

Simplifying Data Disclosure Configurations in a Cloud Computing Environment

User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items

TerraFly GeoCloud: An Online Spatial Data Analysis and Visualization System

Significant Correlation Pattern Mining in Smart Homes

An Introduction to the Special Issue on Participatory Sensing and Crowd Intelligence

Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility

Ohmage: A General and Extensible End-to-End Participatory Sensing Platform

EEMC: Enabling Energy-Efficient Mobile Crowdsensing with Anonymous Participants

City-Scale Social Event Detection and Evaluation with Taxi Traces

Activity Sensor: Check-In Usage Mining for Local Recommendation

An Event-Driven QoI-Aware Participatory Sensing Framework with Energy and Budget Constraints

Issue 2(Special Section on Visual Understanding with RGB-D Sensors), May 2015

Issue 1, April 2015

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 5

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 4

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 3

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 2

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 1

Trajectory Data Mining: An Overview

Content Provider	ACM Digital Library
Author	Zheng, Yu
Copyright Year	2015
Abstract	The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Many techniques have been proposed for processing, managing, and mining trajectory data in the past decade, fostering a broad range of applications. In this article, we conduct a systematic survey on the major research into trajectory data mining, providing a panorama of the field as well as the scope of its research topics. Following a road map from the derivation of trajectory data, to trajectory data preprocessing, to trajectory data management, and to a variety of mining tasks (such as trajectory pattern mining, outlier detection, and trajectory classification), the survey explores the connections, correlations, and differences among these existing techniques. This survey also introduces the methods that transform trajectories into other data formats, such as graphs, matrices, and tensors, to which more data mining and machine learning techniques can be applied. Finally, some public trajectory datasets are presented. This survey can help shape the field of trajectory data mining, providing a quick understanding of this field to the community.
Starting Page	1
Ending Page	41
Page Count	41
File Format	PDF
ISSN	21576904
e-ISSN	21576912
DOI	10.1145/2743025
Volume Number	6
Issue Number	3
Journal	ACM Transactions on Intelligent Systems and Technology (TIST)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Spatiotemporal data mining Trajectory classification Trajectory compression Trajectory data mining Trajectory indexing and retrieval Trajectory outlier detection Trajectory pattern mining Trajectory uncertainty Urban computing
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Theoretical Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection

Exploring pattern-aware travel routes for trajectory search

Prediction and Simulation of Human Mobility Following Natural Disasters

Trajectory Data Mining: An Overview

Outlier detection based on granular computing and rough set theory

On data mining, compression, and Kolmogorov complexity

Unsupervised interaction-preserving discretization of multivariate data

Mining spatiotemporal patterns of urban dwellers from taxi trajectory data

Probabilistic space-time video modeling via piecewise GMM

Trajectory Data Mining: An Overview

Similar Documents

Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection

Exploring pattern-aware travel routes for trajectory search

Prediction and Simulation of Human Mobility Following Natural Disasters

Trajectory Data Mining: An Overview

Outlier detection based on granular computing and rough set theory

On data mining, compression, and Kolmogorov complexity

Unsupervised interaction-preserving discretization of multivariate data

Mining spatiotemporal patterns of urban dwellers from taxi trajectory data

Probabilistic space-time video modeling via piecewise GMM

Trajectory Data Mining: An Overview