Thesis On Spatial Data Mining

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The main component is a modified association rule mining algorithm that also works with time dimension, producing rules in the form of A ⇒ B.

As part of the research, a discretisation technique inspired by concept drift detection is also proposed.

” Leon Gaw Yan Feng “A Workflow to Estimate Forest Biomass with Unmanned Aerial Systems” Daria Lüdtke “Evaluation of Geographic Data Mining Analyst for spatial data mining and remote sensing image analysis of Earth observation data” Caitlin Lara Thorn “Incorporating regions into navigation systems, using VR” David Julián Pardo Corzo “Investigating applied navigation services on mobile technologies for the current challenges of university campuses” Sushil Thapa “Exploring the impact of urban growth on land surface temperature of Kathmandu Valley, Nepal” Birhane Guesh Weldeargay “Augmenting pedestrian navigation systems with context-aware display of POIs” Adeouwa Stephen Akande “Geospatial Exploration of a Tropical Climate using Artificial Neural Network” Julia Desiree Velástegui Cáceres “Evaluation of a homogenization method that uses geostatistical co-similation of temperature with evaluation” Jana Martins “Evaluation and Prototyping of Low-Cost Air Quality Solutions for Participatory Sensing in Citizen Science Applications” Tami Palmer “Development of a spatio-temporal seismic risk assessment model to support disaster management in the Carribean” Joshi Abhasha “Web Based Framework for Spatio Temporal Analysis of Satellite Imagery” Apurva Anil Kochar “Using map-augmented reality panoramic scenes (ARPS) for forced migrants” Laura Giuffrida “Assessing the effect of weather parameters on human outdoor perception using twitter” Angela Alfonso Rodrigues “3D geostatistics applied to geology” Abdal Qadir Mamode Ally “Assessing different environmental attributes against potential conflict over rivers crossing international borders – focusing in the Middle East, Euphrates-Tigris River” Edorta Iraegui “GIS-based analysis of socio-economic variation in accessibility to green spaces in Barcelona, Spain” Albert Gil Escura “Open Data, A new approach with GIS components” Eias Hausen “Array-database Model (Sci DB) for Standardized Storing of Hyperspectral Satellite Ima” Emilio Troncho Jordan “A Prospective Geoinformatic Approach to Indoor Navigation for Unmanned Air System (UAS) by use of Quick Response (QR) codes” Marcelo de Lima Galvão ” Schematic Bus Transit Maps For The Web Using Genetic Algorithms” Andrea Calia “Viability assessment of WPS 2.0 services as communication standard for expensive web-based machine learning analysis.

A case of study: Indoor Location” Jefferson Valencia Gómez “Siting feasible water catchments for small irrigation projects in Western Honduras” Tran Xuan Duy “Exploring Land Use Land Cover Change To Understand Urban Warming Effect In Hanoi Inner City, Vietnam” Abbas Adel Ibrahim “Investigating Crime Patterns in Egypt using Crowdsourced Data between 2011-2013″ Samuel Navas Medrano “Enabling post-recording deep georeferncing of walkthrough videos: an interactive approach” Selçuk Mozak “COMPARING GLOBAL LAND COVER DATASETS THROUGH THE EAGLE MATRIX LAND COVER COMPONENTS FOR CONTINENTAL PORTUGAL” Alexander Tedeschi “Rebalancing Citi Bike” David Thor Gudmundsson “ENVIRONMENTAL QUALITY OF LIFE INDEX INCORPORATING MCA & GIS, Case study: Lisbon Metropolitan Area, Portugal” Dejan Popovic “Location analysis of city sections, Socio-demographic segmentation and restaurant potentiality estimation – A case study City of Lisbon” Abuzar Popal “Post-disaster assessment using an automated change detection method” Gohar Ghazaryan, “Analysis of temporal and spatial variations of forest ( a case of study in notheastern Armenia)” Colin Broderick, “Identifying urban communities within the city of New York using data from the citibike, bike share scheme” Daniel Machado, “Analyzing Geospatial patterns of Syrian refugee flowa in southeastern Turke by use of remote sensing and complementary data” John Ortiz Trujillo, “Develop a software for the analysis of stratigraphic data – SDAR a new toolkit” Francisco Javier Morata Chilleron, “Benefits and Drawbacks of different Means of Interactions for Place Virtual Public” Albert Acedo Sánchez, “Relating the spatial component and users interests to improve applications based on questions, petitions and participatory processes” Stjepan Tomislav Rajcic, “Spatial analysis of crime evolution in Portugal between 19″ Miguel Antão de Praetere Carrilho, “The use of analytical hierarchy process in spatial decision support system for land use management: a case study of the Zambezi river valley in Mozambique” Karina Popova, “Politicization of Non-Political events: a geospatial analysis of twitter content during the 2014 FIFA World Cup” Milan Šecerov, “Analysis of panoramio photo tags in order to extract land use information.” Aida Monfort Muriach, “Information Provision improvement with a geofencing event-bases system.” Yasmine Mohamed Gamal El-Din Megahed, “Land Cover Mapping Analysis and Urban Growth Modeling Using Remote Sensing Techniques: case study greater Cairo Region Egypt.” Fesseha Fentahun Belay, “Groundwater quality, vulnerability and potential assessment in Kobo Valley development project, Ethiopia.” Shahin Qulamhuseyn Oglu Huseynli, “Determination of the most suitable oil pipeline route using GIS least cost path analysis – Case study: Keystone XL, Nebraska State – USA” Nourhhan Khalifa Abd El Kareem, “Analysus and Visualization of Energy use for universiy Campus (UJI)” Srinivasa Raghavendra Bhuvan Gummidi, “Smart-RBAC: A location-based access control model for location- specific content delivery and analytics in a smart campus” Germán Martín Mendoza Silva, “Agent-based parking occupancy simulation” Sergio Soler Sanchis, “Creation of a web application for smart system and parking prediction study for system integration” Ondrej Zvara, “UAV – based imagery processing using structure from motion and remote sensing technology” Elisabet Adeva Romero, “Analysis and Simulation of Social Unrest in Europe” Ayuk Sally Agbor, “Using GIS to map the spatial and temporal occurence of cholera epidemic in Cameroon” Constancio Amurrio García, “Web Processing Services for forestry and environmental applications” Thomas Daniel Buckley, “The Edges of Areal Units: A cse study in the Hereogenous Effects of Assessment District Edges” Hernan Cortes Rodriguez, “Classifiers ensemble in remote sensing: a comparative analysis” Alexey Eskov, “SPATIAL PATTERNS AND IRREGULARITIES OF THE ELECTORAL DATA: GENERAL ELECTIONS IN CANADA” Nadal Vicent Francisco Garcia, “Combining WLAN Fingerprint-based localization with Sensor Data for Indoor Navigation using mobile devices” Amichai Korda , “The Influence of offscreen landmarks on user orientation ” Nemanja Kostic, “Automatic Generation of Indoor Accessibility Information for Mobility -Impaired Individuals” Juan López Roca, “Geospatial Technologies for Public Participation: Better decision ofr Smarter Cities? A Qualitative Reasoning Approach For Improving Query Results For Sketch Based Queries By Topological Analysis Of Spatial Aggregation.

Abdulhakim Abdi, “Modelling bird habitat associations to assess agricultural intensification in The Netherlands: a remote sensing approach” Vanessa Joy Anacta, Gender Differences in Cognitive Mapping Dwi Septi Cahyawati, Development of Spatial Data Infrastructure (case study in Heart of Borneo) Chunyuan Cai, Translation Encoding for OGC Services MD. Farm 2.0 Using Word Press to Manage Geocontent and Promote Regional Food Products.

Landsat Data and Spatial Metrics for Urban Landuse Change Detection. The system was trained to differentiate the seismicity readings obtained from spatially scattered seismograms around Canterbury both before large earthquakes happen and periods of low seismicity between 20.The system was tested to examine whether Neu Cube could learn from complex data and demonstrate a capability of predicting large earthquakes with a reasonable window of time. GVSOS: A New Client for OGC SOS Interface Standard. Spatio-Temporal Land Use/Land Cover Changes Analysis and Monitoring in the Valencia Municipality. Zhelu Ye, A Web-Based geographical information system prototype on Portuguese traditional food products Chinonye Cletus Onah, Spatial data infrastructures model for developing countries: A case study of Nigeria Song Li, Knowledge discovery from trajectories Zakaria Robert Ngereja, Towards a GIS-T database design and implementation for public transit planning: the case study of Dar-Es-salaam metropolitan city, Tanzania. Discovery and Retrieval of Geographic Data Using Google. Geospatial database generation from digital newspapers: Use case for risk and disaster domains. MONIRUZZAMAN, Impact of Climate Change in Bangladesh: Focusing on Water Logging and Mangrove Forest Change at South-West Coast Paulo Guilherme Mollin, Estimation of vegetation carbon stock in Portugal using land use/ land cover data Sushil Bhandari, Urban change monitoring using GIS and remote sensing tools in Kathmandu valley (Nepal) Saroj Koirala, Land use/ land cover change and its impact on soil erosion process in Begnas Tal Rupa Tal watershed using geospatial tools, Kaski district, Nepal Andrew Andrew Ferdinands, Testing native speakers of German and Portuguese on the understanding of topological operators-line-region relations in gv SIG Francis Molua Mwambo, Human and climatic change impact modelling on the habitat suitability for the chimpanzee (Pan troglodytes ellioti) – Case study: The proposed Mount Cameroon National Park Abargues, Carlos. Taking advantage of the locality-preserving property of the space-filling Hilbert curve, the method is able to work with existing concept drift detection algorithms to automatically determine where and when in the spatiotemporal landscape that patterns are changing.The framework was tested on the earthquake catalogue data around the Christchurch region.It aims at making GIS tools more sensitive for large volumes of data stored inside GIS systems by integrating GIS with other computer sciences such as Expert system (ES) Data Warehouse (DW), Decision Support System (DSS), or Knowledge Discovery Database (KDD).One of the main branches of IGIS is the Geographic Knowledge Discovery (GKD) which tries to discover the implicit knowledge in the spatial databases.

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  • Parameter-Free Spatial and Stream Mining
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    Data. The first two parts of this thesis focus on spatial mining methods. In the first part we examine homogeneous spatial data, where all points belong to one class. In the second part we examine heterogeneous spatial data, where the points may belong to two or more differ-ent classe e.g. species, galaxy types, etc.…

  • SoftGIS Data Mining and analysis A Case Study of Urban.
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    Subsequently, this thesis purposes a number of visual, analytical, exploratory and data mining techniques that are tailored to meet the characteristics of SoftGIS data or any other similar qualitative geocoded dataset. Furthermore, the proposed methods are implemented in a case study of urban impression in Helsinki metropolitan area, namely.…

  • Important Data Mining Techniques - Data Science Galvanize
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    Data Mining is an important analytic process designed to explore data. Much like the real-life process of mining diamonds or gold from the earth, the most important task in data mining is to extract non-trivial nuggets from large amounts of data.…

  • PDF PhD Thesis High Performance Spatial Data Mining.
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    PDF Explosive growth in the size of spatial databases has highlighted the need for spatial data mining techniques to mine the interesting but implicit spatial patterns within these large databases.…

  • What are some good topics for a Master's Thesis on Data.
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    Choosing a Data mining topics is a hard task for the researchers. They are a wide variety of good topics for the Thesis on Data Mining are available in the online.…

  • Spatio–Temporal Data Mining for Location–Based Services.
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    This thesis is the result of an industrial Ph. D. study, which is a unique mix of theory and practice. ish spatial data mining company, Geomatic. The task of.…

  • FP-tree Based Spatial Co-location Pattern Mining - Page 4.
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    This thesis focuses on a recent spatial data mining problem Finding sets of spatial features that tend to be located in spatial proximity. This problem is also referred to as spatial co-location pattern mining 10, 5, 2, 16, 12, 38, 40, 42, 43, which is an important spatial data mining task with broad applications. Examples…

  • Spatial Data Mining for Drought Monitoring An Approach Using.
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    Spatial Data Mining for Drought Monitoring An Approach Using temporal NDVI and Rainfall Relationship by Aditi Sharma Thesis submitted to the International Institute for Geo-information Science and Earth Observation in…

  • Spatial Data Mining - Semantic Scholar
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    Semantic Scholar extracted view of "Spatial Data Mining" by Deren Li et al.…

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