Objective
The information society with its all-digital information content, and the advent of HPCN technology to support huge databases, presents users with the problem of interpreting vast amounts of data. Although theoretical work and methodological approaches have been published, data mining (or knowledge discovery in databases) at present is more of an art than a well understood reliable process. There exists no well understood, practical data mining process. This fact particularly hinders data mining projects involving huge databases and is seen as barrier to the profitable widespread deployment of HPCN. The project aims to cater for data mining needs of industrial users of huge data warehouses, by providing an industry-neutral and tool-neutral process model. This project will develop a data mining process which is fast, well understood, reliable, and valid across a wide range of applications.
Starting from the embryonic knowledge discovery processes used in industry today and responding directly to user requirements, this project will define and validate a data mining process that is generally applicable in diverse industry sectors. This will make large data mining projects faster, more efficient, more reliable, more manageable, and less costly. A widely adopted process should foster the development of a multitude of data mining tools which support it, thereby significantly contributing to promote a profitable use of HPCN technology.
A "special interest group" (SIG) of users and suppliers will be formed to broaden the basis for development and testing without sacrificing the efficiency and effectiveness of a small, tightly-focused consortium. The SIG is a key feature of this project, helping to ensure relevance and applicability of the results, and facilitating dissemination and exploitation.
The process model developed by the project will be exploited by the data warehouse vendor and the data mining tool supplier to enhance their product and service offerings. The user partners will exploit the results of the project internally to improve their business intelligence and decision making.
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 computer and information sciences databases
- natural sciences computer and information sciences data science data mining
- natural sciences computer and information sciences data science business intelligence
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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.
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.
Data not available
Coordinator
2400 Copenhagen
Denmark
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.