Analysing Activities, Contextualized for General Health, Depression and Demographics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

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, DSAA 2018 - Turin, Italy
Duration: 1 Oct 20184 Oct 2018

Conference

Conference5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018
CountryItaly
CityTurin
Period1/10/184/10/18

Fingerprint

Metadata
Ontology
Health
Calibration
Survey Data
Social Media
Health Surveys
Big data
Data sources
Demographics
Evaluation
Survey data

Cite this

Murtagh, F. (2019). Analysing Activities, Contextualized for General Health, Depression and Demographics. In F. Bonchi, F. Provost, T. Eliassi-Rad, W. Wang, C. Cattuto, & R. Ghani (Eds.), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA) (pp. 547-554). [8631452] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA.2018.00070
Murtagh, Fionn. / Analysing Activities, Contextualized for General Health, Depression and Demographics. Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA). editor / Francesco Bonchi ; Foster Provost ; Tina Eliassi-Rad ; Wei Wang ; Ciro Cattuto ; Rayid Ghani. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 547-554
@inproceedings{80eab81230d649adb0e498e45c975e59,
title = "Analysing Activities, Contextualized for General Health, Depression and Demographics",
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.",
keywords = "Addressing big data bias, Contextualization, Correspondence analysis, Ethics relating to aggregation, Latent semantic analysis",
author = "Fionn Murtagh",
year = "2019",
month = "2",
day = "4",
doi = "10.1109/DSAA.2018.00070",
language = "English",
isbn = "9781538650912",
pages = "547--554",
editor = "Francesco Bonchi and Foster Provost and Tina Eliassi-Rad and Wei Wang and Ciro Cattuto and Rayid Ghani",
booktitle = "Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Murtagh, F 2019, Analysing Activities, Contextualized for General Health, Depression and Demographics. in F Bonchi, F Provost, T Eliassi-Rad, W Wang, C Cattuto & R Ghani (eds), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA)., 8631452, Institute of Electrical and Electronics Engineers Inc., pp. 547-554, 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, 1/10/18. https://doi.org/10.1109/DSAA.2018.00070

Analysing Activities, Contextualized for General Health, Depression and Demographics. / Murtagh, Fionn.

Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA). ed. / Francesco Bonchi; Foster Provost; Tina Eliassi-Rad; Wei Wang; Ciro Cattuto; Rayid Ghani. Institute of Electrical and Electronics Engineers Inc., 2019. p. 547-554 8631452.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Analysing Activities, Contextualized for General Health, Depression and Demographics

AU - Murtagh, Fionn

PY - 2019/2/4

Y1 - 2019/2/4

N2 - 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.

AB - 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.

KW - Addressing big data bias

KW - Contextualization

KW - Correspondence analysis

KW - Ethics relating to aggregation

KW - Latent semantic analysis

UR - http://www.scopus.com/inward/record.url?scp=85062852904&partnerID=8YFLogxK

U2 - 10.1109/DSAA.2018.00070

DO - 10.1109/DSAA.2018.00070

M3 - Conference contribution

SN - 9781538650912

SP - 547

EP - 554

BT - Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA)

A2 - Bonchi, Francesco

A2 - Provost, Foster

A2 - Eliassi-Rad, Tina

A2 - Wang, Wei

A2 - Cattuto, Ciro

A2 - Ghani, Rayid

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Murtagh F. Analysing Activities, Contextualized for General Health, Depression and Demographics. In Bonchi F, Provost F, Eliassi-Rad T, Wang W, Cattuto C, Ghani R, editors, Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA). Institute of Electrical and Electronics Engineers Inc. 2019. p. 547-554. 8631452 https://doi.org/10.1109/DSAA.2018.00070