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INforE: interactive cross-platform analytics for everyone

Giatrakos Nikolaos, Arnu David, Bitsakis Theodoros, Deligiannakis Antonios, Garofalakis Minos, Klinkenberg Ralf, Konidaris Vissarion-Bertcholnt, Kontaxakis Antonios, Kotidis, Yannis, Samoladas Vasilis, Simitsis Alkis, Stamatakis Georgios, Temme Fabian, Torok Mate, Yaqub Edwin, Montagud Arnau, Ponce-de-Leon Miguel, Arndt Holger, Burkard Stefan

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URIhttp://purl.tuc.gr/dl/dias/B61AA0F2-86AF-406D-95C8-4A4B411E97B1-
Identifierhttps://doi.org/10.1145/3340531.3417435-
Identifierhttps://dl.acm.org/doi/10.1145/3340531.3417435-
Languageen-
Extent4 pagesen
TitleINforE: interactive cross-platform analytics for everyoneen
CreatorGiatrakos Nikolaosen
CreatorΓιατρακος Νικολαοςel
CreatorArnu Daviden
CreatorBitsakis Theodorosen
CreatorΜπιτσακης Θεοδωροςel
CreatorDeligiannakis Antoniosen
CreatorΔεληγιαννακης Αντωνιοςel
CreatorGarofalakis Minosen
CreatorΓαροφαλακης Μινωςel
CreatorKlinkenberg Ralfen
CreatorKonidaris Vissarion-Bertcholnten
CreatorΚονιδαρης Βησσαριων-Μπερτχολντel
CreatorKontaxakis Antoniosen
CreatorΚονταξακης Αντωνιοςel
CreatorKotidis, Yannisen
CreatorSamoladas Vasilisen
CreatorΣαμολαδας Βασιληςel
CreatorSimitsis Alkisen
CreatorStamatakis Georgiosen
CreatorΣταματακης Γεωργιοςel
CreatorTemme Fabianen
CreatorTorok Mateen
CreatorYaqub Edwinen
CreatorMontagud Arnauen
CreatorPonce-de-Leon Miguelen
CreatorArndt Holgeren
CreatorBurkard Stefanen
PublisherAssociation for Computing Machinery (ACM)en
Content SummaryWe present INforE, a prototype supporting non-expert programmers in performing optimized, cross-platform, streaming analytics at scale. INforE offers: a) a new extension to the RapidMiner Studio for graphical design of Big streaming Data workflows, (b) a novel optimizer to instruct the execution of workflows across Big Data platforms and clusters, (c) a synopses data engine for interactivity at scale via the use of data summaries, (d) a distributed, online data mining and machine learning module. To our knowledge INforE is the first holistic approach in streaming settings. We demonstrate INforE in the fields of life science and financial data analysis.en
Type of ItemConference Demonstrationen
Type of ItemΕπίδειξη σε Συνέδριοel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-07-15-
Date of Publication2020-
SubjectData streamsen
SubjectCross-platform analyticsen
SubjectInteractive Big Data analyticsen
Bibliographic CitationN. Giatrakos, D. Arnu, T. Bitsakis, A. Deligiannakis, M. Garofalakis, R. Klinkenberg, A. Konidaris, A. Kontaxakis, Y. Kotidis, V. Samoladas, A. Simitsis, G. Stamatakis, F. Temme, M. Torok, E. Yaqub, A. Montagud, M. Ponce De León, H. Arndt, and S. Burkard, “INforE: interactive cross-platform analytics for everyone,” in Proc. 29th ACM Int. Conf. Inf. Knowl. Manage. (CIKM 2020), virtual event, 2020, pp. 3389–3392, doi: 10.1145/3340531.3417435.en

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