@inproceedings{b2e4cc7030174462bf7eb1388196b774,
title = "POLYTICS: Provenance-based analytics of data-centric applications",
abstract = "We consider in this demonstration the analysis of complex data-intensive applications. We focus on three classes of analytical questions that are important for application owners and users alike: Why was a result obtained? What would be the result if the application logic or database is modified in a particular way? How can one interact with the application to achieve a particular goal? Answering these questions efficiently is a fundamental step towards optimizing the application and its use. Noting that provenance was a key component in answering similar questions in the context of database queries, we have developed POLYTICS, a system that employs novel provenance-based solutions for these analytic questions for data-centric applications. We propose to demonstrate POLYTICS using an online bicycle shop application as an example, letting participants play the role of both analysts and users.",
author = "Pierre Bourhis and Daniel Deutch and Yuval Moskovitch",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 33rd IEEE International Conference on Data Engineering, ICDE 2017 ; Conference date: 19-04-2017 Through 22-04-2017",
year = "2017",
month = may,
day = "16",
doi = "10.1109/ICDE.2017.183",
language = "English",
series = "Proceedings - International Conference on Data Engineering",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "1373--1374",
booktitle = "Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017",
address = "United States",
}