Analysing Activities, Contextualized for General Health, Depression and Demographics

Fionn Murtagh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The contextualizing of large and complex data sources is crucial. Associated with analytical focus can be the addressing of bias in social media and other data sources, and associated with contextualization is Big Data calibration. European Social Survey data is used here, and the main objective is the evaluation of mental health survey data. While specific findings and outcomes are the major objectives here, relating to definition and properties of mental capital, future objectives will be as follows: to plan with metadata and ontology for further, future and rewarding integration with other data sources, both nationally and globally.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA)
EditorsFrancesco Bonchi, Foster Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages547-554
Number of pages8
ISBN (Electronic)9781538650905
ISBN (Print)9781538650912
DOIs
Publication statusPublished - 4 Feb 2019
Event5th IEEE International Conference on Data Science and Advanced Analytics - Turin, Italy
Duration: 1 Oct 20184 Oct 2018
Conference number: 5
https://dsaa2018.isi.it/home
http://www.doc.gold.ac.uk/~mas01ds/dssc/DataScienceComputationalPsychiatryPsyResearch.htm

Conference

Conference5th IEEE International Conference on Data Science and Advanced Analytics
Abbreviated titleDSAA 2018
Country/TerritoryItaly
CityTurin
Period1/10/184/10/18
Internet address

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