Filters








231 Hits in 3.2 sec

Mining Long, Sharable Patterns in Trajectories of Moving Objects

Győző Gidófalvi, Torben Bach Pedersen
2007 Geoinformatica  
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

Deepak S.Gaikwad, Usha A. Jogalekar
2013 International Journal of Computer Applications  
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

S. R.Ghule, S. M. Shinde
2014 International Journal of Computer Applications  
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

Nanasaheb Mahadev Halgare, Ali Akbar Bagwan
2017 International Journal of Computing and Business Research  
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]

Guangyan Huang, Yanchun Zhang, Jing He, Zhiming Ding
2011 Lecture Notes in Computer Science  
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

Oliver Baltzer, Frank Dehne, Andrew Rau Chaplin
2013 International Journal of Intelligent Information and Database Systems  
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

Gyozo Gidofalvi, Xuegang Huang, Torben Bach Pedersen
2007 2007 International Conference on Mobile Data Management  
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

Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng
2011 IEEE Transactions on Knowledge and Data Engineering  
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

Bin Tian, Brendan Tran Morris, Ming Tang, Yuqiang Liu, Yanjie Yao, Chao Gou, Dayong Shen, Shaohu Tang
2014 IEEE transactions on intelligent transportation systems (Print)  
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

Bin Tian, Brendan Tran Morris, Ming Tang, Yuqiang Liu, Yanjie Yao, Chao Gou, Dayong Shen, Shaohu Tang
2017 IEEE transactions on intelligent transportation systems (Print)  
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

Ivan Mendoza, Clas Rydergren, Chris M. J. Tampère
2018 Transportation Research Record  
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

David Heymann
2012 Places  
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

David Heymann
2012 Places  
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]

Marco Quartulli, Igor G. Olaizola
2012 arXiv   pre-print
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

Sabrina Azzi, Stéphane Gagnon, Alex Ramirez, Gregory Richards
2020 Applied Sciences  
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
« Previous Showing results 1 — 15 out of 231 results