On the Need for a Novel Intelligent Big Data Platform: A Proposed Solution

Jeffrey Ray*, Marcello Trovati

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

This article discusses some existing techniques and methods in data analytics, which aim to identify, extract and assess insights from both unstructured and structured datasets. However, most of them have limitations due to either an over-specialisation or an attempt to provide a general “data panacea”. In this work, we will also suggest a potential approach, which aims to overcome such challenges. In fact, specific enhancements to the existing methods are likely to lead to the creation of a tool that is more suited to rapid decision making in business, through the use of clear visualisations supported by novel machine learning methods.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages473-478
Number of pages6
Volume23
ISBN (Electronic)978-3-319-98557-2
ISBN (Print)978-3-319-98556-5
DOIs
Publication statusPublished - 2019

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume23
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

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