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- invited-talkJuly 2020
Arrays in Databases: from Underdog to First-Class Citizen
SSDBM '20: Proceedings of the 32nd International Conference on Scientific and Statistical Database ManagementArticle No.: 31, Pages 1–5https://doi.org/10.1145/3400903.3409500Array Databases close a gap in the database ecosystem by adding modelling, storage, and processing support for multi-dimensional arrays. Built into “datacubes” such structures are known since long in OLAP and statistics, but they also appear as spatio-...
- research-articleJune 2017
Location and Processing Aware Datacube Caching
SSDBM '17: Proceedings of the 29th International Conference on Scientific and Statistical Database ManagementArticle No.: 34, Pages 1–6https://doi.org/10.1145/3085504.3085539Array databases are used to manage and query large N-dimensional arrays, such as sensor data, simulation models and imagery, as well as various time-series. Modern database systems and database applications make extensive use of caching techniques to ...
- research-articleJune 2016
An Efficient MapReduce Cube Algorithm for Varied DataDistributions
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataPages 1151–1165https://doi.org/10.1145/2882903.2882922Data cubes allow users to discover insights from their data and are commonly used in data analysis. While very useful, the data cube is expensive to compute, in particular when the input relation is very large. To address this problem, we consider cube ...
- ArticleOctober 2013
Advancing Patient Record Safety and EHR Semantic Interoperability
- Konstantinos Perakis,
- Thanasis Bouras,
- Dimitris Ntalaperas,
- Panagiotis Hasapis,
- Christos Georgousopoulos,
- Ratnesh Sahay,
- Oya Deniz Beyan,
- Cristi Potlog,
- Daniela Usurelu
SMC '13: Proceedings of the 2013 IEEE International Conference on Systems, Man, and CyberneticsPages 3251–3257https://doi.org/10.1109/SMC.2013.554Electronic Health Records (EHRs) contain an increasing wealth of medical information, which has the potential to significantly advance medical research and health policies formulation, providing society with additional benefits within a global health ...
- ArticleAugust 2003
Extracting semantics from data cubes using cube transversals and closures
KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data miningPages 69–78https://doi.org/10.1145/956750.956762In this paper we propose a lattice-based approach intended for extracting semantics from datacubes: borders of version spaces for supervised classification, closed cube lattice to summarize the semantics of datacubes w.r.t. COUNT, SUM, and covering ...