V
Vasilis Samoladas
Researcher at Technical University of Crete
Publications - 31
Citations - 563
Vasilis Samoladas is an academic researcher from Technical University of Crete. The author has contributed to research in topics: Upper and lower bounds & Data stream mining. The author has an hindex of 9, co-authored 29 publications receiving 513 citations. Previous affiliations of Vasilis Samoladas include University of Texas at Austin.
Papers
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Proceedings ArticleDOI
On two-dimensional indexability and optimal range search indexing
TL;DR: The theory of indexability is applied to the problem of two-dimensional range searching and it is shown that the special case of 3-sided querying can be solved with constant redundancy and access overhead.
Journal ArticleDOI
On a model of indexability and its bounds for range queries
Joseph M. Hellerstein,Elias Koutsoupias,Daniel P. Miranker,Christos H. Papadimitriou,Vasilis Samoladas +4 more
TL;DR: A lower-bound theorem for deriving the minimum redundancy is proved and interesting upper and lower bounds and trade-offs between A and r are shown in the case of multidimensional range queries and set queries.
Journal ArticleDOI
Sketch-based geometric monitoring of distributed stream queries
TL;DR: Novel algorithms for efficiently tracking a broad class of complex aggregate queries in such distributed-streams settings are proposed, and a key technical insights for the effective use of the geometric method lies in exploiting a much lower-dimensional space for monitoring the sketch-based estimation query.
Journal ArticleDOI
Optimal Design of Photovoltaic Systems Using High Time-Resolution Meteorological Data
Charalambos Paravalos,Eftichios Koutroulis,Vasilis Samoladas,Tamas Kerekes,Dezso Sera,Remus Teodorescu +5 more
TL;DR: The proposed optimization method allows for optimum design of PV systems, which will provide maximum economic profit during their lifetime period, and successfully accounts for both the meteorological conditions and the operational characteristics of the PV plant components.
Journal ArticleDOI
Monitoring distributed streams using convex decompositions
Arnon Lazerson,Izchak Sharfman,Daniel Keren,Assaf Schuster,Minos Garofalakis,Vasilis Samoladas +5 more
TL;DR: This paper presents a far more general geometric approach, based on the convex decomposition of an appropriate subset of the domain of the monitoring query, and formally proves that it is always guaranteed to perform at least as good as the covering spheres method.