BestNeighbor: efficient evaluation of kNN queries on large time series databases

Autor: Patrick Valduriez, Djamel Edine Yagoubi, Themis Palpanas, Boyan Kolev, Florent Masseglia, Reza Akbarinia, Oleksandra Levchenko, Dennis Shasha

Publikováno v: Knowledge and Information Systems (KAIS)
Knowledge and Information Systems (KAIS), Springer, In press
Knowledge and Information Systems (KAIS), 2021, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩
Knowledge and Information Systems (KAIS), Springer, In press, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩

International audience; This paper presents parallel solutions (developed based on two state-of-the-art algorithms iSAX and sketch) for evaluating kNN (k nearest neighbor) queries on large databases of time series, compares them based on various meas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3efc4ea43dcc30827f90d8fcb9677498
https://doi.org/10.1007/s10115-020-01518-4

D2.1 STATE OF THE ART & REQUIREMENTS ANALYSIS

Autor: Sandra Ebro, Boyan Kolev, Jose María Zaragoza, Patricio Martinez, Luis Miguel garcia, Konstantinos Moutselos, Ofer Biran, María Ángeles Sanguino, Jorge Montero, Ana Luiza Pontual, Miquel Milà, Ricard Munné, George Manias, Argyro Mavrogiorgou, Athanasios Kiourtis, Ilias Maglogiannis, Nikitas Sgouros, Rafael del Hoyo, Giannis Ledakis, Konstantinos Theodosiou, Armend Duzha, Nikos Achilleopoulos, Petya Nikolova, Iskra Yovkova, Vega Rodrigálvarez, Javier Sancho

This is the first of the series of deliverables that specify the use case scenarios, their involved datasets and their relevant user requirements as well as the system and technical requirements that are being imposed by the platform. The purpose of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dc789452db1b09555dd932d068cfe44

Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows

Autor: Patrick Valduriez, Reza Akbarinia, Oleksandra Levchenko, Boyan Kolev, Ricardo Jiménez-Peris, Marta Patiño, Florent Masseglia

Publikováno v: DATA
Proceedings of the 8th International Conference on Data Science, Technology and Applications

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8ee62b6fb31155d58933701bf6d804b
https://doi.org/10.5220/0008191304310436

Spark-parSketch

Autor: Oleksandra Levchenko, Reza Akbarinia, Dennis Shasha, Boyan Kolev, Djamel Edine Yagoubi, Florent Masseglia

Publikováno v: CIKM
CIKM 2018-27th ACM International Conference on Information and Knowledge Management
CIKM 2018-27th ACM International Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩
27th International Conference on Information and Knowledge Management
CIKM: Conference on Information and Knowledge Management
CIKM: Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩
Proceedings of the 27th ACM International Conference on Information and Knowledge Management-CIKM 18
Proceedings of the 27th ACM International Conference on Information and Knowledge Management-CIKM '18

International audience; A growing number of domains (finance, seismology, internet-of-things, etc.) collect massive time series. When the number of series grow to the hundreds of millions or even billions, similarity queries become intractable on a s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdce10b671116517f563f07c3423425a
https://doi.org/10.1145/3269206.3269226

Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale

Autor: Rui C. Gonçalves, Pavlos Kranas, Patrick Valduriez, Ricardo Jiménez-Peris, Oleksandra Levchenko, Boyan Kolev, Esther Pacitti, Ricardo Vilaça

Publikováno v: 2018 IEEE International Conference on Big Data (Big Data)
IEEE BigData
IEEE International Conference on Big Data
IEEE International Conference on Big Data (Big Data 2018)
IEEE International Conference on Big Data (Big Data 2018), Dec 2018, Seattle, United States. pp.1757-1766, ⟨10.1109/BigData.2018.8622187⟩

International audience; The blooming of different cloud data stores has turned polystore systems to a major topic in the nowadays cloud landscape. Especially, as the amount of processed data grows rapidly each year, much attention is being paid on ta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::155032a4262997836436616f7fe1a7e8