{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T11:22:26Z","timestamp":1770463346595,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643682907","type":"print"},{"value":"9781643682914","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,29]]},"abstract":"<jats:p>Big Data has proved to be vast and complex, without being efficiently manageable through traditional architectures, whereas data analysis is considered crucial for both technical and non-technical stakeholders. Current analytics platforms are siloed for specific domains, whereas the requirements to enhance their use and lower their technicalities are continuously increasing. This paper describes a domain-agnostic single access autoscaling Big Data analytics platform, namely Diastema, as a collection of efficient and scalable components, offering user-friendly analytics through graph data modelling, supporting technical and non-technical stakeholders. Diastema\u2019s applicability is evaluated in healthcare through a predicting classifier for a COVID19 dataset, considering real-world constraints.<\/jats:p>","DOI":"10.3233\/shti220743","type":"book-chapter","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T07:34:35Z","timestamp":1656574475000},"source":"Crossref","is-referenced-by-count":9,"title":["An Autoscaling Platform Supporting Graph Data Modelling Big Data Analytics"],"prefix":"10.3233","author":[{"given":"Athanasios","family":"Kiourtis","sequence":"first","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}]},{"given":"Panagiotis","family":"Karamolegkos","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}]},{"given":"Andreas","family":"Karabetian","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}]},{"given":"Konstantinos","family":"Voulgaris","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}]},{"given":"Yannis","family":"Poulakis","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}]},{"given":"Argyro","family":"Mavrogiorgou","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}]},{"given":"Dimosthenis","family":"Kyriazis","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Advances in Informatics, Management and Technology in Healthcare"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T07:34:36Z","timestamp":1656574476000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"ISBN":["9781643682907","9781643682914"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220743","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,29]]}}}