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Fri 16 - Fri 23 October 2020
Thu 22 Oct 2020 15:35 - 15:50 at Room B - B5-Models and Data Chair(s): Dimitris Kolovos

We outline the key requirements for a Big Data modelling recommender tool. Our web-based tool is suitable for capturing system’s requirements in big data analytics applications involving diverse stakeholders. It promotes awareness of the datasets and algorithm implementations that are available to leverage in the design of the solution. We implement these ideas in BiDaML-web, a proof of concept recommender system for Big Data applications, and evaluate the tool using an empirical study with a group of 16 target end-users. Participants found the integrated recommender and technique suggestion tools helpful and highly rated the overall BiDaML web-based modelling experience. BiDaML-web is available at https://bidaml.web.app/ and the source code can be accessed at https://github.com/tarunverma23/bidaml.

Thu 22 Oct
Times are displayed in time zone: (GMT-04:00) Eastern Time (US & Canada) change

15:00 - 16:15: B5-Models and DataTechnical Track at Room B
Chair(s): Dimitris KolovosUniversity of York
15:00 - 15:20
Technical Track
Arno Kesper, Viola WenzPhilipps-Universität Marburg, Gabriele TaentzerUniversität Marburg
Link to publication DOI File Attached
15:20 - 15:35
Technical Track
15:35 - 15:50
Technical Track
Hourieh KhalajzadehMonash University, Australia, Tarun Verma, Andrew SimmonsDeakin University, John GrundyMonash University, Mohamed AbdelrazekDeakin University, Australia, John HoskingUniversity of Auckland
15:50 - 16:05
Technical Track
Francesco BascianiUniversity of L'Aquila, Juri Di RoccoUniversity of L'Aquila, Davide Di RuscioUniversity of L'Aquila, Ludovico IovinoGran Sasso Science Institute, L'Aquila, Italy, Alfonso PierantonioUniversità degli Studi dell'Aquila