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ADReM Data Lab (ADReM)
Main organisation:Department of Computer Science
Lifecycle:1 Oct 2003 → Today
Organisation profile:ADReM focuses on foundational research in the areas of databases, knowledge management, and data mining. Our research entails: - the design of both centralized and distributed database architectures for the scalable support of structured, semi-structured, and graph-oriented data models; - the study of formal query languages for the above data models, as well as the development of efficient processing and query-optimization techniques for database-oriented query languages such as SQL, XPath/XQuery and SPARQL; - the development of both deterministic and probabilistic data-cleaning techniques in the presence of logical constraints and data uncertainty; - the study of scalable data-mining principles and algorithms for the unsupervised detection of patterns in the form of statistical correlations and logical dependencies; - the study of inductive databases and query languages, towards the goal of integrating data mining technologies in database systems; - the development and application of data mining strategies for the integrative analysis and interpretation of heterogeneous biomolecular (proteome, metabolome, genome, …) profiles, structures, spectra and networks.
Keywords:DATA MODELS, DATABASES, DATA MINING, SEMISTRUCTURED DATA, XML, XQUERY
Disciplines:Applied mathematics in specific fields, Computer architecture and networks, Distributed computing, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Computer hardware, Computer theory, Other computer engineering, information technology and mathematical engineering, Bioinformatics and computational biology