Objective Given the present distinct lack of a generally accepted framework for data mining, the quest for such a framework is a major research priority. The most promising approach to this task is taken by inductive databases (IDBs), which contain not only data, but also patterns. Patterns can be either local patterns, such as frequent itemsets, which are of descriptive nature, or global models, such as decision trees, which are of predictive nature. In an IDB, inductive queries can be used to generate (mine), manipulate, and apply patterns. The IDB framework is appealing as a theory for data mining, because it employs declarative queries instead of ad hoc procedural constructs. Declarative queries are often formulated using constraints and inductive querying is closely related to constraint-based data mining. The IDB framework is also appealing for data mining applications, as it supports the process of knowledge discovery in databases (KDD): the results of one (inductive) query can be used as input for another and nontrivial multistep KDD scenarios can be supported, rather than just single data mining operations. The state-of-the-art in IDBs is that there exist various effective approaches to constraint-based mining (inductive querying) of local patterns, such as frequent item sets and sequences, most of which work in isolation. The proposed project aims to significantly advance the state-of-the-art by developing the theory of and practical approaches to inductive querying (constraint-based mining) of global models, as well as approaches to answering complex inductive queries that involve both local patterns and global models. Based on these, showcase applications/IDBs in the area of bioinformatics will be developed, where users will be able to query data about drug activity, gene expression, gene function and protein sequences, as well as frequent patterns (e.g. subsequences in proteins) and predictive models (e.g. for drug activity or gene function). Fields of science natural sciencescomputer and information sciencesdatabasesnatural sciencesbiological sciencesbiochemistrybiomoleculesproteinsnatural sciencescomputer and information sciencesdata sciencedata mining Programme(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Topic(s) IST-2002-2.3.4.1 - FET - Open Call for proposal Data not available Funding Scheme STREP - Specific Targeted Research Project Coordinator JOZEF STEFAN INSTITUTE EU contribution No data Address JAMOVA 39 1001 LJUBLJANA Slovenia See on map Total cost No data Participants (5) Sort alphabetically Sort by EU Contribution Expand all Collapse all ALBERT-LUDWIGS-UNIVERSITAET FREIBURG Germany EU contribution No data Address Georges-Köhler-Allee, Building 079 79110 FREIBURG See on map Total cost No data HELSINGIN YLIOPISTO Finland EU contribution No data Address Gustaf Hällströmin katu 2b 00014 UNIVERSITY OF HELSINKI See on map Total cost No data INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON France EU contribution No data Address See on map Total cost No data UNIVERSITEIT ANTWERPEN Belgium EU contribution No data Address Prinsstraat 13 2000 ANTWERPEN See on map Total cost No data UNIVERSITY OF WALES, ABERYSTWYTH United Kingdom EU contribution No data Address Old College, King Street SY23 3DB ABERYSTWYTH See on map Total cost No data