T
Timos Sellis
Researcher at Swinburne University of Technology
Publications - 381
Citations - 14732
Timos Sellis is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Query optimization & Query language. The author has an hindex of 55, co-authored 373 publications receiving 13873 citations. Previous affiliations of Timos Sellis include National and Kapodistrian University of Athens & RMIT University.
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Proceedings ArticleDOI
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
TL;DR: A variation to Guttman’s Rtrees (R+-trees) that avoids overlapping rectangles in intermediate nodes of the tree is introduced and analytical results indicate that R+-Trees achieve up to 50% savings in disk accesses compared to an R-tree when searching files of thousands of rectangles.
Journal ArticleDOI
Multiple-query optimization
TL;DR: The results show that using multiple- query processing algorithms may reduce execution cost considerably, and the presentation and analysis of algorithms that can be used for multiple-query optimization are presented.
Journal ArticleDOI
DIANA-microT web server: elucidating microRNA functions through target prediction
Manolis Maragkakis,Martin Reczko,Victor A. Simossis,Panagiotis Alexiou,Giorgos L. Papadopoulos,Theodore Dalamagas,Giorgos Giannopoulos,Georgios Goumas,Evangelos Koukis,Kornilios Kourtis,Thanasis Vergoulis,Nectarios Koziris,Timos Sellis,Panayotis Tsanakas,Artemis G. Hatzigeorgiou +14 more
TL;DR: TheDIANA-microT web server is presented as the user interface to the DIANA- microT 3.0 miRNA target prediction algorithm, providing extensive information for predicted miRNA:target gene interactions with a user-friendly interface, and providing extensive connectivity to online biological resources.
Journal ArticleDOI
Accurate microRNA target prediction correlates with protein repression levels
Manolis Maragkakis,Manolis Maragkakis,Panagiotis Alexiou,Panagiotis Alexiou,Giorgos L. Papadopoulos,Martin Reczko,Theodore Dalamagas,Giorgos Giannopoulos,George I. Goumas,Evangelos Koukis,Kornilios Kourtis,Victor A. Simossis,Praveen Sethupathy,Thanasis Vergoulis,Nectarios Koziris,Timos Sellis,Panayotis Tsanakas,Artemis G. Hatzigeorgiou,Artemis G. Hatzigeorgiou +18 more
TL;DR: DIANA-microT 3.0 was found to achieve the highest precision among the most widely used microRNA target prediction programs reaching approximately 66%.
Journal ArticleDOI
A survey of logical models for OLAP databases
Panos Vassiliadis,Timos Sellis +1 more
TL;DR: This paper presents different proposals for multidimensional data cubes, which are the basic logical model for OLAP applications, and divides the work in the field in two categories: commercial tools and academic efforts.