Advanced Analytics & Data Mining

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EU Project funding of intelligence:

http://cordis.europa.eu/fp7/ict/content-knowledge/fp7-call8_en.html

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Target outcomes

a) Reactive algorithms, Infrastructures and Methodologies (parallelisation, Approximation, online processing, compression) for data intensive scaling techniques (Including but not limited to machine learning, inference, Statistical analysis) up to extremely large data volumes and real time performance. Implementations Must be rigorously tested on extremely large and complex data sets Realistically coming from diverse resources Contributed by Organisations With A clear stake in the solution and a clear path to deploying it if effective.

b) That integrated systems Intelligent decision making Directly support and situation awareness by dynamically Integrating, Correlating, fusing and extremely large volumes of Analysing data resources nonsense and streams. This includes (but is not restricted to) Recognising complex events and patterns That Are Difficult or impossible today to detect, Aggregating and opinions are mediating or predictions, Offering alternative conceptualisations, Guaranteeing timeliness, completeness and correctness, Integrating categorical and Statistical Analyses. Visual Analytics Should EQUALLY integrate data analysis and visualization. The Effectiveness of Such solutions will be Evaluated Against the Requirements of relevant concrete professionals and Communities and tested on user groups Appropriately-sized and extremely large data resources from the respective domains (including, but not limited to, finance, engineering, government, Geospace, transport, urban management).

c) Framework and tools for information management benchmarking and exploring diversity and Comparing and Optimising the performance of non mainstream data management and computing architectures Paradigms, Structures and algorithms novel data on extremely large volumes of data. While scientific and rigour Methodological quality and novelty are the main criteria for success, preference will be Given to Proposals That Clearly Identified address to industrial, scientific or societal concern 'or Opportunity and / or bring together hitherto unrelated scientific or engineering software communities.

d) Targeted speeding up competition framework Progress towards large scale comprehensive information management systems of relevance. The framework will be required to: identify a well Justified industrial, scientific or societal objective photo can not be attained That With The best performing current information management solutions, defines Conditions under Which Detailed quantitative experimental Progress towards the objective photo can be Reliably Observed; Implement a fair testing framework of data resources including realistic in size and nature and capable of support supporting large numbers of entrants; Broadly advertise the competition, administer and publish Several rounds testing the outcome of the competition With An Appropriate analysis of performance issues and trends.

e) Community Initiatives building networks and other technology Designed to link suppliers, integrators and leading user Organisations. These actions will disseminate results and best practices and to address Barriers hindering deployment of WIDER research results, work or Advancing Towards Establishing standards and benchmarks Recognised widely and increase awareness of the Potential of the technologies within The broader Audiences.