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Discovering co-location patterns with aggregated spatial transactions and dependency rules

Mohomed Shazan Mohomed Jabbar, Colin Bellinger, Osmar R. Zaïane, Alvaro Osornio-Vargas
2017 International Journal of Data Science and Analytics  
By transforming spatial data to transaction data, the co-location pattern mining problem can be reduced to an association rule mining problem and such methods can be used to find co-location patterns robustly  ...  Addressing this, we propose a novel approach, AGT-Fisher, to robustly transform spatial data to transaction data and use statistically significant dependency rule searching methods to find co-location  ...  Acknowledgements The authors would like to acknowledge the funding of CIHR/NSERC Collaborative Health Research Program and the Canadian Neonatal Network for providing adverse birth outcome data.  ... 
doi:10.1007/s41060-017-0079-5 dblp:journals/ijdsa/JabbarBZO18 fatcat:dsqwtkvllzdt7po4jrs3h4kgra

Methods for mining co–location patterns with extended spatial objects

Robert Bembenik, Wiktor Jóźwicki, Grzegorz Protaziuk
2017 International Journal of Applied Mathematics and Computer Science  
The paper discusses various approaches to mining co-location patterns with extended spatial objects.  ...  We focus on the properties of transaction-free approaches EXCOM and DEOSP, and discuss the differences between the method using a buffer and that employing clustering and triangulation.  ...  Discovering co-location patterns in datasets with extended spatial objects with EXCOM and DEOSP In this section we discuss two methods of mining co-location patterns with extended objects: a buffer-based  ... 
doi:10.1515/amcs-2017-0047 fatcat:lhe6k3tiufgctlvpon7qdhncvm

Big spatio-temporal data mining for emergency management information systems

Maria Dagaeva, Alina Garaeva, Igor Anikin, Alisa Makhmutova, Rifkat Minnikhanov
2019 IET Intelligent Transport Systems  
They suggested improved spatio-temporal co-location patterns mining technique based on DBSCAN, FPGrowth, and natural language processing (NLP).  ...  They found that using NLP and aggregation of an emergency dataset with weather to enhance the number of emergency categories could significantly increase the quality of association rules.  ...  After identifying transactions, we apply association rule mining technique to discover spatio-temporal co-location patterns.  ... 
doi:10.1049/iet-its.2019.0171 fatcat:giblf7gzpvdofnrqda5odjgcfq

Guest editorial: special issue on Environmental and Geospatial Data Analytics

Diana Inkpen, Mathieu Roche, Maguelonne Teisseire
2018 International Journal of Data Science and Analytics  
In the data science context, spatiotemporal aspects are crucial in order to manage and mine data, to index and retrieve information, and finally to discover and visualize knowledge.  ...  Challenges about data science deal with creation, storage, search, sharing, modeling, analysis, and visualization of data, information, and knowledge.  ...  (discovering co-location patterns with aggregated spatial transactions and dependency rules) proposes an original approach to transform spatial data to transaction data by using statistically significant  ... 
doi:10.1007/s41060-018-0105-2 dblp:journals/ijdsa/InkpenRT18 fatcat:mokd2tzvszbyznt434r2sis6kq

FP-Growth Algorithm for Discovering Region-Based Association Rule in the IoT Environment

Hong-Jun Jang, Yeongwook Yang, Ji Su Park, Byoungwook Kim
2021 Electronics  
With the development of the Internet of things (IoT), both types and amounts of spatial data collected from heterogeneous IoT devices are increasing.  ...  Second, frequent pattern growth (FP-Growth) is performed for each transaction divided by region.  ...  [22] proposed a Map-Reduce-based approach as a method of finding co-location patterns defined with R-proximity measure and conditional probability.  ... 
doi:10.3390/electronics10243091 fatcat:544e3k5ohrbgfcf6obeu33t2va

Identifying patterns in spatial information: A survey of methods

Shashi Shekhar, Michael R. Evans, James M. Kang, Pradeep Mohan
2011 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
Co-location rule discovery is the process of identifying co-location patterns from large spatial data sets with a large number of boolean features.  ...  In the spatial co-location rule mining problem, however, transactions are often not explicit.  ... 
doi:10.1002/widm.25 fatcat:xqcn7cf5bnbevlm2xlhvpr2gle

Spatiotemporal Data Mining: Issues, Tasks And Applications

Venkateswara Rao K
2012 International Journal of Computer Science & Engineering Survey  
Various kinds of data mining tasks such as association rules, classification clustering for discovering knowledge from spatiotemporal datasets are examined and reviewed.  ...  It poses many challenges in representing, processing, analysis and mining of such datasets due to complex structure of spatiotemporal objects and the relationships among them in both spatial and temporal  ...  A two phase mining methodology is proposed in [32] to discover frequent collocation episodes. An algorithm is proposed in [33] to discover zonal co-location patterns for dynamic parameter.  ... 
doi:10.5121/ijcses.2012.3104 fatcat:smom5x2ybbgilavylsg7dju3pu

Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes

Jesus Serrano-Lomelin, Charlene C. Nielsen, M. Shazan M. Jabbar, Osnat Wine, Colin Bellinger, Paul J. Villeneuve, Dave Stieb, Nancy Aelicks, Khalid Aziz, Irena Buka, Sue Chandra, Susan Crawford (+9 others)
2019 Environment International  
ABO have been linked to air pollution; however, relationships with mixtures of industrial emissions are poorly understood.  ...  Adverse birth outcomes (ABO) such as prematurity and small for gestational age confer a high risk of mortality and morbidity.  ...  Data mining extraction of primary patterns We applied the spatial co-location pattern mining algorithm AGT-Fisher (Aggregated Grid Transactionalization in conjunction with the Fisher's test-based and Kingfisher  ... 
doi:10.1016/j.envint.2019.104972 pmid:31299602 fatcat:5zzcya3jg5ah5kjkz4cqozb72e

Visual Query Processing for GIS with Web Contents [chapter]

Ryong Lee, Hiroki Takakura, Yahiko Kambayashi
2002 Visual and Multimedia Information Management  
For an efficient support of such work, it is very important to combine web information with map semantics. Current web systems usually do not support map semantics.  ...  web contents and map semantics in an effective integrating way.  ...  ACKNOWLEDGEMENT This work has been supported by 'Universal Design in Digital City' Project in CREST of JST (Japan Science and Technoloy Corporation).  ... 
doi:10.1007/978-0-387-35592-4_13 fatcat:5awwirsrbbgcfjw2eugaxk73r4


N. Naga Saranya .
2014 International Journal of Research in Engineering and Technology  
Spatio-temporal data is any information regarding space and time. It is frequently updated data with 1TB/hr, are greatly challenging our ability to digest the data.  ...  So this research offers an innovative idea to discover the trend on multi-dimensional spatio-temporal datasets. Here it briefly describes the scope and relevancy of spatiotemporal data.  ...  This research offers an innovative idea to discover the trend on multi-dimensional spatio-temporal datasets. Here it briefly describes the scope and relevancy of spatio-temporal data.  ... 
doi:10.15623/ijret.2014.0303046 fatcat:qoyuzflmbvfozgle4nmwkvl23q

Mining Multivariate Associations within GIS Environments [chapter]

Ickjai Lee
2004 Lecture Notes in Computer Science  
Our framework is designed and implemented in AVENUE for ArcView GIS. Experiments with real datasets demonstrate the robustness and efficiency of our approach.  ...  It efficiently detects frequent asymmetric causal patterns in large databases.  ...  mine frequent causal patterns within layer-based GIS environments.  ... 
doi:10.1007/978-3-540-24677-0_109 fatcat:muqh5rszijcyjgekw2uukaa3hy

Spatial Interactions in Business and Housing Location Models

Katarzyna Kopczewska, Mateusz Kopyt, Piotr Ćwiakowski
2021 Land  
of persistence of behaviour, with slow and costly adjustments of location.  ...  We illustrate the theoretical discussion with an empirical case of interacting point-patterns for business, housing, and population.  ...  Discovering composite spatial patterns, varying between subgroups, entailing the composition of different spatial layers with extreme values and discontinuities, is a complex task and should be based on  ... 
doi:10.3390/land10121348 doaj:9aba31699a04455b9023be209675967e fatcat:rdmbg2l3wzeshmtcpjr4seyvhm

Logic based Pattern Discovery using the Integral Logical Derivative Rule

Prasadh. K, Sutheer. T
2013 International Journal of Computer Applications  
Results: Performance of Integral Logical Derivative Rules technique to discover the logic based pattern is evaluated in terms of execution time, support threshold based on number of items and memory consumption  ...  An analytical and empirical result shows the lesser execution time with the efficient integral based pattern discovery of our proposed scheme.  ...  colocation has enough confidence and eventually to discover all spatial co-location patterns.  ... 
doi:10.5120/11377-6648 fatcat:d2jshydb75enlmh6ctcigkw4yy

Geographical queries reformulation using a parallel association rules generator to build spatial taxonomies

Omar El Midaoui, Btihal El Ghali, Abderrahim El Qadi
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
The algorithm frequent pattern growth (FP-growth) is applied to this database in his parallel version (parallel FP-growth: PFP) in order to generate association rules, that will form the country's taxonomy  ...  This approach exploits the documents that are in top of the retrieved list when submitting a spatial entity, which is composed of a spatial relation and a noun of a city.  ...  The conditional pattern base of an item is defined as a small database of patterns that co-occur with this item.  ... 
doi:10.11591/ijece.v11i3.pp2586-2594 fatcat:rhsxvnxh7vdxnjvisrpoe6gp6q

Programming Patterns for Architecture-Level Software Optimizations on Frequent Pattern Mining

Mingliang Wei, Changhao Jiang, Marc Snir
2007 2007 IEEE 23rd International Conference on Data Engineering  
We show the generality and effectiveness of these patterns by tuning several frequent pattern mining algorithms and showing significant performance improvements.  ...  One very important application in the data mining domain is frequent pattern mining.  ...  Introduction and motivation Frequent pattern mining, also known as frequent itemset mining, aims to discover groups of items that co-occur frequently in a database.  ... 
doi:10.1109/icde.2007.367879 dblp:conf/icde/WeiJS07 fatcat:3hxquenjpzd3leqwzycgtsgmem
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