Objective
The main objective of the SPIN! project is to support statistical offices in their timely and cost effective dissemination of statistical data and to offer exciting new possibilities for the scientific analysis of geo-referenced data. To this end a Spatial Data Mining System, SPIN, is developed. It integrates state of the art Geographic Information Systems (GIS) and Data Mining Systems (DMS) functionality in an open, highly extensible, internet-enabled plug-in architecture. By adapting methods from Machine Learning and Bayesian Statistics to spatial data analysis the state of the art in Data Mining will be advanced. The state of the art in GIS will also be advanced by developing new methods for the visualisation of spatial and temporal information. SPIN will be tested and evaluated by applications to seismic and volcano data analysis and to the web-based dissemination of census data.
%Objectives:
- To develop a generic system architecture that integrate state of the art GIS and DMS functionality in an open, extensible, internet-enabled plug-in architecture.
- To adapt Machine learning methods, especially first-order learning methods to spatial data mining.
- To adapt Bayesian Markov Chain Monte Carlo to spatial data mining.
- To adapt and integrate methods for spatial pattern analysis using techniques from exploratory spatial data analysis, statistics and artificial intelligence.
- To develop newmmethods for the visualisation of temporal and spatial data.
- To develop new methods for visualising data mining results in GIS.
- To apply SPIN to web-based dissemination of census data and the analysis of seismic and volcano data.
- To develop an innovative business model for web-based information and service brokering with geo-referenced data.
Work description:
Data mining systems (DMS) and GIS are complementary tools for analysing and modelling data about real world systems. The rapidly expanding market for these technologies is driven by pressure from the public sector, environmental agencies and industry to provide innovative solutions to a wide range of different problems. Most contemporary GIS have only very basic spatial analysis and data mining functionality and many are confined to analysis that involves comparing maps and descriptive statistical displays like histograms or pie charts. Data mining techniques offer great potential benefits for applied GIS based decision making. An integrated, user friendly SDMS available on the Internet offers exciting new possibilities for spatial decision making and geographical research to a wide range of potential users. The objective is to develop a web-based SDMS by integrating state of the art GIS and DMS functionality in an open and extensible system architecture. In recent years, a number of project partners have developed the technological components and scientific tools required at the kernel of such a system. During SPIN! these individual efforts will be united in a joint European effort. In it we will develop the missing pieces and build a truly integrated, Internet enabled GIS-DMS platform, SPIN, a coherent, Spatial Data Mining System (SDMS) for data of public interest. Partners from statistical offices and seismic research centres will use the system and provide feedback to direct the development efforts. Thee applied uses of the technology will demonstrate the benefits of this system over contemporary technology. Industrial partners will develop a business model for web-based information brokering with geo-referenced statistical data, and estimate the likely economic impact of the technology. The benefits are wide ranging, offering advantages to statistical analysts, environmental decision makers, seismic data experts, biodiversity researchers and the like
Milestones:
The main result of the project will be a SDMS offering an unprecedented variety of visualisation and spatial analysis tools. The adaptation of Data Mining methods to spatial analysis will open up new research and application domains and new visualization methods will advance the state of the art in GIS. Milestones: M1 Developer's version of a SDMS (month 12) M2 First prototype (month 18) M3 Second prototype (month 30) M4 Dissemination workshop targeting additional user groups (36)
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences physical geography cartography geographic information systems
- natural sciences mathematics applied mathematics statistics and probability bayesian statistics
- natural sciences earth and related environmental sciences geology volcanology
- natural sciences computer and information sciences data science data mining
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
80686 MUENCHEN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.