Towards User-Centred tooling for Modelling of Big Data ApplicationsDemo
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 OctDisplayed time zone: Eastern Time (US & Canada) change
15:00 - 16:15 | |||
15:00 20mFull-paper | Detecting Quality Problems in Research Data: A Model-Driven ApproachFT Technical Track Link to publication DOI File Attached | ||
15:20 15mDemonstration | Insights Collaboration Space – A Team Collaboration App for the Design of Data-Driven ServicesDemo Technical Track | ||
15:35 15mDemonstration | Towards User-Centred tooling for Modelling of Big Data ApplicationsDemo Technical Track Hourieh Khalajzadeh Monash University, Australia, Tarun Verma , Anj Simmons Deakin University, John Grundy Monash University, Mohamed Abdelrazek Deakin University, Australia, John Hosking University of Auckland | ||
15:50 15mDemonstration | TyphonML: a Modeling Environment to Develop Hybrid PolystoresDemo Technical Track Francesco Basciani University of L'Aquila, Juri Di Rocco University of L'Aquila, Davide Di Ruscio University of L'Aquila, Ludovico Iovino Gran Sasso Science Institute, L'Aquila, Italy, Alfonso Pierantonio Università degli Studi dell'Aquila |