@inproceedings{0841d38897e44115b8a636bdd7bb1c49,
title = "Data analytics: From conceptual modelling to logical representation",
abstract = "In recent years, data analytics has been studied in a broad range of areas, such as health-care, social sciences, and commerce. In order to accurately capture user requirements for enhancing communication between analysts, domain experts and users, conceptualising data analytics tasks to provide a high level of modelling abstraction becomes increasingly important. In this paper, we discuss the modelling of data analytics and how a conceptual framework for data analytics applications can be transformed into a logical framework that supports a simple yet expressive query language for specifying data analytics tasks. We have also implemented our modelling method into a unified data analytics platform, which allows to incorporate analytics algorithms as plug-ins in a flexible and open manner, We present case studies on three real-world data analytics applications and our experimental results on an unified data analytics platform.",
keywords = "Conceptual modeling, Data analytics, Logical model, Query language",
author = "Qing Wang and Minjian Liu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 35th International Conference on Conceptual Modelling, ER 2016 held in conjunction with Workshops on AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME and WM2SP, 2016 ; Conference date: 14-11-2016 Through 17-11-2016",
year = "2016",
doi = "10.1007/978-3-319-46397-1_32",
language = "English",
isbn = "9783319463964",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "415--429",
editor = "Isabelle Comyn-Wattiau and Il-Yeol Song and Shuichiro Yamamoto and Motoshi Saeki and Katsumi Tanaka",
booktitle = "Conceptual Modeling - 35th International Conference, ER 2016, Proceedings",
address = "Germany",
}