Cel "The rate at which research labs, enterprises and governments accumulate data is high and fast increasing. Often, these data are collected for no specific purpose, or they turn out to be useful for unanticipated purposes: Companies constantly look for new ways to monetize their customer databases; Governments mine various databases to detect tax fraud; Security agencies mine and cross-associate numerous heterogeneous information streams from publicly accessible and classified databases to understand and detect security threats. The objective in such Exploratory Data Mining (EDM) tasks is typically ill-defined, i.e. it is unclear how to formalize how interesting a pattern extracted from the data is. As a result, EDM is often a slow process of trial and error.During this fellowship we aim to develop the mathematical principles of what makes a pattern interesting in a very subjective sense. Crucial in this endeavour will be research into automatic mechanisms to model and duly consider the prior beliefs and expectations of the user for whom the EDM patterns are intended, thus relieving the users of the complex task to attempt to formalize themselves what makes a pattern interesting to them.This project will represent a radical change in how EDM research is done. Currently, researchers typically imagine a specific purpose for the patterns, try to formalize interestingness of such patterns given that purpose, and design an algorithm to mine them. However, given the variety of users, this strategy has led to a multitude of algorithms. As a result, users need to be data mining experts to understand which algorithm applies to their situation. To resolve this, we will develop a theoretically solid framework for the design of EDM systems that model the user's beliefs and expectations as much as the data itself, so as to maximize the amount of useful information transmitted to the user. This will ultimately bring the power of EDM within reach of the non-expert." Dziedzina nauki natural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencesdata sciencedata miningsocial sciencessociologygovernancetaxation Program(-y) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) ERC-CG-2013-PE6 - ERC Consolidator Grant - Computer Science and Informatics Zaproszenie do składania wniosków ERC-2013-CoG Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-CG - ERC Consolidator Grants Instytucja przyjmująca UNIVERSITEIT GENT Wkład UE € 1 294 675,00 Adres SINT PIETERSNIEUWSTRAAT 25 9000 Gent Belgia Zobacz na mapie Region Vlaams Gewest Prov. Oost-Vlaanderen Arr. Gent Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Nathalie Vandepitte (Ms.) Kierownik naukowy Tijl De Bie (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (2) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko UNIVERSITEIT GENT Belgia Wkład UE € 1 294 675,00 Adres SINT PIETERSNIEUWSTRAAT 25 9000 Gent Zobacz na mapie Region Vlaams Gewest Prov. Oost-Vlaanderen Arr. Gent Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Nathalie Vandepitte (Ms.) Kierownik naukowy Tijl De Bie (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych UNIVERSITY OF BRISTOL Zjednoczone Królestwo Wkład UE € 254 640,00 Adres BEACON HOUSE QUEENS ROAD BS8 1QU Bristol Zobacz na mapie Region South West (England) Gloucestershire, Wiltshire and Bristol/Bath area Bristol, City of Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Julie Coombs (Mrs.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych