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Special section on "Spatial data warehouses and SOLAP"

Sandro Bimonte, François Pinet, André Miralles, Petraq Papajorgji
2013 Geoinformatica  
Data mining algorithms can also be used in DWs, aiming towards improving data analysis; these techniques help to discern automatically the correlations and causal links between data.  ...  SDWs are a collection of geographical information supporting spatial analysis.  ...  Traditional spatial data warehouses do not support spatial vagueness.  ... 
doi:10.1007/s10707-013-0196-9 fatcat:7znthx3l7ran5pwc6la3yehb5q

Page 838 of Management Review Vol. 44, Issue 12 [page]

1955 Management Review  
Fitting Computers Into a Business Ricur NOW, management in most companies is only vaguely aware of what electronic data-processing systems mean.  ...  However, the data-processing building—located at Camillus, N.Y., because that is the geographical center of Sylvania’s operations—will tend to become the information nerve center of the company.  ... 

Which future path to pick? A contingency approach to omnichannel warehouse configuration

Joakim Hans Kembro, Andreas Norrman
2020 International Journal of Physical Distribution & Logistics Management  
Focusing on outbound warehouse configurations, data are collected through interviews, on-site observations, and secondary sources.  ...  Nonetheless, research on how various contextual factors influence the selection of warehouse configuration is scarce.  ...  Another limitation is the vague operationalization of how to measure the contextual factors. In our data displays, this is done in a relative way.  ... 
doi:10.1108/ijpdlm-08-2019-0264 fatcat:3tyaxz753fb7lg64r66ptalg6q

HANDLING IMPRECISION IN QUALITATIVE DATA WAREHOUSE: URBAN BUILDING SITES ANNOYANCE ANALYSIS USE CASE

F. Amanzougarene, M. Chachoua, K. Zeitouni
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Conventional data warehouses are thus not adapted to qualitative reasoning and have not the ability to deal with qualitative data.  ...  Data warehouses are essentially based on multidimensional model. This model organizes data into facts (subjects of analysis) and dimensions (axes of analysis).  ...  For this dimension we will use an a priori geographical zoning.  ... 
doi:10.5194/isprsarchives-xl-2-w1-133-2013 fatcat:fnr4ryexr5gvnmbqe5lkvry5oi

About the impact of rising oil price on logistics networks and transportation greenhouse gas emission

Wendelin F. Gross, Cristina Hayden, Christian Butz
2012 Logistics Research  
However, there is a trend toward decentralization, with more warehouses, when oil prices rise above roughly 150 Data analysis indicates that another parameter affects the significance of the oil price  ...  Therefore, the total demand is divided geographically into as many regions as warehouses are modeled.  ... 
doi:10.1007/s12159-012-0072-2 fatcat:jey244f7qvcrxebhqywmfp5kna

14. Ahead of Time : The Infrastructure of Amazon's Anticipatory Shipping Method [chapter]

Eva-Maria Nyckel
2021 Media Infrastructures and the Politics of Digital Time  
This text conducts a close reading of Amazon's 2013 patent for a "Method and System for Anticipatory Package Shipping" on three levels in order to investigate the patent's aspirations towards a potential  ...  at their introduction took over the classical functions of warehouses.  ...  Technical and methodical descriptions remain rather vague, and the patent text does not clearly designate the nature of the invention.  ... 
doi:10.1515/9789048550753-016 fatcat:i5sa34leinbxjfauful5nyemky

A hybrid risk-aware design method for spatial datacubes handling spatial vague data: implementation and validation

Elodie Edoh Alove, Sandro Bimonte, Yvan Bédard, François Pinet
2014 International Journal of Business Intelligence and Data Mining  
Spatial vagueness is one of the most neglected imperfections of spatial data.  ...  Spatial data warehouses (SDWs) and spatial OLAP (SOLAP) are well-known business intelligence (BI) technologies that aim to support multidimensional and online analysis of huge volumes of data with spatial  ...  The explored data are stored in a spatial data warehouse (SDW) as datacube, that is the multidimensional model implementation (Salehi et al., 2010) .  ... 
doi:10.1504/ijbidm.2014.068366 fatcat:2rfw6ywr3rd3jfdthi6oedgena

Improvement of Disability Rights via Geographic Information Science

Sultan Kocaman, Nadire Ozdemir
2020 Sustainability  
The concept of disability is discussed, considering different aspects, and a new methodological framework is proposed in which Geographic Information Systems (GIS), volunteered geographic information (  ...  In order to implement the framework at the national and international levels, a spatial data model should be developed first.  ...  ., portals, data warehouses, etc.) form the backbone of the execution.  ... 
doi:10.3390/su12145807 fatcat:2l7c4ktd7bcidp2rflw42ufthq

Crossing geographical, legal and moral boundaries: the Belgian cigarette black market

T Vander Beken, J Janssens, K Verpoest, A Balcaen, F Vander Laenen
2008 Tobacco Control  
In order to transport the cigarettes often use was made of legal transport companies and warehouses were frequently used to store the cigarettes.  ...  Results: Analyses were made of the geographical aspects, the modus operandi and the participants of the cigarette smuggling trade in Belgium. Belgium is mainly a transit country.  ...  METHODS Data collection The data used for this paper was collected during a study carried out for the European Commission in the context of a project called ''Assessing Organised Crime: testing the Feasibility  ... 
doi:10.1136/tc.2007.022749 pmid:18218811 fatcat:sf6aavs4m5eydne6daxuobkmqu

Can the Social and Cultural Impacts of Ports be Assessed in Terms of Economic Value? [chapter]

Yen-Chiang Chang
2011 Ocean Governance  
INTRODUCTION The scope of social and cultural sectors of ports is broad and therefore vague in content.  ...  In addressing economic value of port heritage, the alternative is strongly driven towards the latter.  ... 
doi:10.1007/978-94-007-2762-5_7 fatcat:3lovbflgijfhphn63z5oofjvv4

The pre-positioning of warehouses at regional and local levels for a humanitarian relief organisation

Saeyeon Roh, Stephen Pettit, Irina Harris, Anthony Beresford
2015 International Journal of Production Economics  
In case study A, managerial level officers were interviewed in order to obtain data for an analysis of the positioning of warehouses at a regional level.  ...  The fuzzy-TOPSIS method was used to obtain the final ranking of locations where linguistic values handle the vagueness and subjectivity of decisions.  ...  The geographical location of the warehouse does not have to be near the disaster prone area, but rather could be in the country where the organization has its headquarters next to a regional office for  ... 
doi:10.1016/j.ijpe.2015.01.015 fatcat:yxpm7abztvcjlnoroftasd4ovm

Logistics Spatial Patterns in Paris

Adeline Heitz, Laetitia Dablanc
2015 Transportation Research Record  
We looked at these data for 2000 and 2012.  ...  Data is not available for areas smaller than municipalities, and it is not available for each category of warehouse (e.g. refrigerated, cross-dock, etc.).  ... 
doi:10.3141/2477-09 fatcat:okipxb2rm5hedjvgb2glgu57ie

Semantic and geometric enrichment of 3D geo-spatial models with captioned photos and labelled illustrations

Chris Jones, Paul Rosin, Jonathan Slade
2014 Proceedings of the Third Workshop on Vision and Language  
https://3dwarehouse.sketchup.com/ also known as Trimble 3D Warehouse and Google 3D Warehouse  ...  The process requires geometric and semantic matching and is referred to as conflation (Samal et al., 2004) , though it is most commonly applied to 2D geographical data.  ... 
doi:10.3115/v1/w14-5409 dblp:conf/acl-vl/JonesRS14 fatcat:35z6gne6cndftmnx4qnwrlbbz4

BUSINESS INTELLIGENCE IN THE PROCESS OF DECISION MAKING: CHANGES AND TRENDS

Gintarė Vizgaitytė, Skyrius. Rimvydas
2012 Ekonomika  
The current prevailing trends in business intelligence technologies and systems are mobile business intelligence, location intelligence, software as a service, big data and predictive analytics.  ...  In fact, the borderline between the two is thin and vague, both are based on using data and empower better (informed) decisions.  ...  The Data Warehousing Institute, a provider of education and training in BI and data warehouse industry, defines business intelligence as the processes, technologies, and tools needed to turn data into  ... 
doi:10.15388/ekon.2012.0.881 fatcat:gq4a6ujfcreqnl3kwmnipa452y

Big Data in Healthcare

2020 International journal of recent technology and engineering  
The main aim of this study is to find the roles of big data in healthcare and know how big data is helping in data transaction in healthcare industry.  ...  Big Data is substantial, less organized and mixed in nature.  ...  Data like columns on community networking websites are vague [3] [4] .  ... 
doi:10.35940/ijrte.f8100.038620 fatcat:zouk6adnkvef3ae6hbcbdk74em
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