INforE: interactive cross-platform analytics for everyone

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Title

INforE: interactive cross-platform analytics for everyone (EN)

Creator

Δεληγιαννακης Αντωνιος (EL)

Σαμολαδας Βασιλης (EL)

Κονταξακης Αντωνιος (EL)

Γιατρακος Νικολαος (EL)

Μπιτσακης Θεοδωρος (EL)

Γαροφαλακης Μινως (EL)

Κονιδαρης Βησσαριων-Μπερτχολντ (EL)

Σταματακης Γεωργιος (EL)

Simitsis Alkis (EN)

Garofalakis Minos (EN)

Kontaxakis Antonios (EN)

Stamatakis Georgios (EN)

Burkard Stefan (EN)

Konidaris Vissarion-Bertcholnt (EN)

Deligiannakis Antonios (EN)

Arnu David (EN)

Giatrakos Nikolaos (EN)

Bitsakis Theodoros (EN)

Torok Mate (EN)

Samoladas Vasilis (EN)

Klinkenberg Ralf (EN)

Temme Fabian (EN)

Ponce-de-Leon Miguel (EN)

Arndt Holger (EN)

Montagud Arnau (EN)

Kotidis, Yannis (EN)

Yaqub Edwin (EN)

Type

conferenceItem

demo

Conference item (EN)

Issued

2020

Year

2020 (EN)

Description

We 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)

Subject

Interactive Big Data analytics (EN)

Cross-platform analytics (EN)

Data streams (EN)

Conference

29th ACM International Conference on Information & Knowledge Management (EL)

Language

English

Publisher

Association for Computing Machinery (ACM) (EN)

School / Department / Institute

Πολυτεχνείο Κρήτης (EL)