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Mining Long, Sharable Patterns in Trajectories of Moving Objects
2007
Geoinformatica
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When the items in the baskets are spatio-temporal identifiers and are derived from trajectories of moving objects, the discovered rules represent frequently travelled routes. ...
The efficient analysis of spatio-temporal data, generated by moving objects, is an essential requirement for intelligent locationbased services. ...
Acknowledgments This work was supported in part by the Danish Ministry of Science, Technology, and Innovation under grant number 61480. ...
doi:10.1007/s10707-007-0042-z
fatcat:mdbqvn76tfdklarz546kwlm3m4
Classifying Trajectories on Road Network using Neural Network
2013
International Journal of Computer Applications
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Pedersen, Mining Long, Sharable Patterns in Trajectories of Moving Objects, GeoInformatica, vol. 13, no. 1, pp. 27-55, 2009. 724 IEEE TRANS-ACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 23, NO. 5, MAY ...
This work is also important in trajectory pattern mining. Mining Long, Sharable Pattern (LSP) are the methods proposed by Gidofalvi and Pedersen [2]. ...
doi:10.5120/14072-2319
fatcat:cgmda6nbczaavlqiudmytufvam
A Survey Paper on Trajectory Pattern Mining for Pattern Matching Query
2014
International Journal of Computer Applications
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Large amount information of moving objects on road network is being collected with the help of various recent technologies. ...
INTRODUCTION In simple words, a trajectory is a sequence of route of a moving object. ...
Gidofalvi and Pedersen [4] have proposed methods of mining long, sharable patterns (LSP) from trajectories on road networks. ...
doi:10.5120/15079-3469
fatcat:etb7ldgjlzatrbploqztvwdceq
Trajectory Data Warehouse and Design Perspectives
2017
International Journal of Computing and Business Research
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KEYWORDS: Trajectory Data Warehouse, Applications and Domains of Trajectory Data Warehouse, Satellite Based Applications ...
The disclosure of Long, Sharable Patterns (LSP) in directions is troublesome for a few reasons. Examples don't more often than not exist along the entire direction. ...
Trajectory pattern mining We are seeing a quick and preceded with dissemination of cell phones, for example, PDAs, individual route gadgets and tablet PCs. ...
doi:10.26519/ijcbr.2017.7.1.06
fatcat:nzak5oiecndhdm35rvzlr3l5ii
Efficiently Retrieving Longest Common Route Patterns of Moving Objects By Summarizing Turning Regions
[chapter]
2011
Lecture Notes in Computer Science
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The popularity of online location services provides opportunities to discover useful knowledge from trajectories of moving objects. ...
Thus, the most challenging task in the mining process is to abstract trajectories by the right points. ...
This paper addresses the problem of mining longest common route (LCR) patterns. Mining LCR patterns is one of the fundamental issues in mining trajectories of moving objects. ...
doi:10.1007/978-3-642-20841-6_31
fatcat:lwjv2jpvurexxm6bmm4cp35bmq
OLAP for moving object data
2013
International Journal of Intelligent Information and Database Systems
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In this paper, we present an OLAP framework for moving object data. ...
We introduce a new operator GROUP_TRAJECTORIES for group-by operations on moving object data and present two implementation alternatives for computing groups of moving objects for group-by aggregation: ...
The solution proposed in this paper extends frequent pattern mining methods, and presents new algorithms that are more appropriate for identifying groups of moving objects. ...
doi:10.1504/ijiids.2013.051745
fatcat:vou7nzahenfanczuh5wfqzmrxi
Privacy-Preserving Data Mining on Moving Object Trajectories
2007
2007 International Conference on Mobile Data Management
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The DB TECH REPORTS icon is made from two letters in an early version of the Rune alphabet, which was used by the Vikings, among others. ...
The first letter in the logo is "Dagaz," the rune for day or daylight and the phonetic equivalent of "d." Its meanings include happiness, activity, and satisfaction. ...
Here, similar to our work, trajectories are represented as a set of spatio-temporal grid cells, and the task of finding sharable long patterns in trajectories is posed as finding closed frequent itemsets ...
doi:10.1109/mdm.2007.18
dblp:conf/mdm/GidofalviHP07
fatcat:lcpik3nzongpbfj3n2jnr3sjgm
Mining Discriminative Patterns for Classifying Trajectories on Road Networks
2011
IEEE Transactions on Knowledge and Data Engineering
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Furthermore, when mining sequential patterns, we propose to confine the length of sequential patterns to ensure high efficiency. ...
In this paper, we present a framework for frequent pattern-based classification for trajectories on road networks. ...
ACKNOWLEDGMENTS The work was supported in part by the Korea Research Foundation grant, funded by the Korean Government (MOEHRD), KRF-2006-214-D00129, and in part by the US National Science Foundation ( ...
doi:10.1109/tkde.2010.153
fatcat:tcmlunrsxjeplod3nkv62gmeqa
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
2014
IEEE transactions on intelligent transportation systems (Print)
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However, the performance of most existing surveillance systems is susceptible to challenging complex traffic scenes (e.g., object occlusion, pose variation, and cluttered background). ...
Accordingly, we present a review of the literature on the video-based vehicle surveillance systems in ITSs. ...
Patterns in trajectories are interesting if they are sharable by multiple commuters. Gidofalvi and Pedersen [200] mined long sharable patterns in traffic trajectories. ...
doi:10.1109/tits.2014.2340701
fatcat:ibm5rputr5gv5o2kazayjr6wkq
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
2017
IEEE transactions on intelligent transportation systems (Print)
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However, the performance of most existing surveillance systems is susceptible to challenging complex traffic scenes (e.g., object occlusion, pose variation, and cluttered background). ...
Accordingly, we present a review of the literature on the video-based vehicle surveillance systems in ITSs. ...
Patterns in trajectories are interesting if they are sharable by multiple commuters. Gidofalvi and Pedersen [200] mined long sharable patterns in traffic trajectories. ...
doi:10.1109/tits.2016.2552778
fatcat:hkc7ug3rgballl4gtfp2a2nu2i
Discovering Regularity in Mobility Patterns to Identify Predictable Aggregate Supply for Ridesharing
2018
Transportation Research Record
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after observing a set of events, and assistance can be planned in advance. ...
The mobility patterns extracted from the travel histories found in these data enable agents residing in mobile devices to model transitions between visited locations, so that upcoming trips can be predicted ...
Acknowledgments This research project was financially supported by the National Secretariat of Higher Education, Science, Technology and Innovation of Ecuador (SENESCYT). ...
doi:10.1177/0361198118798720
fatcat:jdt4do6fzfcfbedpphyrmfa3aq
An Un-flushable Urinal
2012
Places
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and back again — almost no predictable trajectory. ...
But the interesting severity — and, in the long run, limited consequence — of Masaccio’s work points to the difficulty of translating Murcutt’s oeuvre, since its demanding ground rule is the absence of ...
doi:10.22269/120607
fatcat:qj2zjxgv2ffdno45vhkcco6m4u
An Un-flushable Urinal
2012
Places
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and back again — almost no predictable trajectory. ...
But the interesting severity — and, in the long run, limited consequence — of Masaccio’s work points to the difficulty of translating Murcutt’s oeuvre, since its demanding ground rule is the absence of ...
doi:10.22269/120604
fatcat:6hmxye7v7bfp5p56ixebli5i6q
A review of EO image information mining
[article]
2012
arXiv
pre-print
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We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation. ...
The different paradigms at the basis of the main system families are introduced. The approaches taken are analyzed, focusing in particular on the phases after primitive feature extraction. ...
Moving from architectural descriptions to algorithmic choices, we now start analyzing in detail the different choices taken with regards to specific elements of an EO mining system. ...
arXiv:1203.0747v2
fatcat:nwiylcsdrnhthi753xcxwxgo7e
Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework
2020
Applied Sciences
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There are growing examples of AIA being implemented in healthcare with promising results. ...
AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). ...
Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2020, 10, 6553 ...
doi:10.3390/app10186553
doaj:b03bcc6944824d55825a0d6daa7f3459
fatcat:vztt35io3nhefml6ljsgmtebj4
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