Analysing Activities, Contextualized for General Health, Depression and Demographics

Fionn Murtagh

doi:10.1109/DSAA.2018.00070

Analysing Activities, Contextualized for General Health, Depression and Demographics

Fionn Murtagh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, (DSAA)
Editors	Francesco Bonchi, Foster Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	547-554
Number of pages	8
ISBN (Electronic)	9781538650905
ISBN (Print)	9781538650912
DOIs	https://doi.org/10.1109/DSAA.2018.00070
Publication status	Published - 4 Feb 2019
Event	5th IEEE International Conference on Data Science and Advanced Analytics - Turin, Italy Duration: 1 Oct 2018 → 4 Oct 2018 Conference number: 5 https://dsaa2018.isi.it/home http://www.doc.gold.ac.uk/~mas01ds/dssc/DataScienceComputationalPsychiatryPsyResearch.htm

Conference

Conference	5th IEEE International Conference on Data Science and Advanced Analytics
Abbreviated title	DSAA 2018
Country/Territory	Italy
City	Turin
Period	1/10/18 → 4/10/18
Internet address	https://dsaa2018.isi.it/home http://www.doc.gold.ac.uk/~mas01ds/dssc/DataScienceComputationalPsychiatryPsyResearch.htm

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/DSAA.2018.00070Licence: Unspecified

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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). Article 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

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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",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018 ; Conference date: 01-10-2018 Through 04-10-2018",

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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, 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 proceeding › Conference contribution › peer-review

TY - GEN

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N1 - Conference code: 5

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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

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U2 - 10.1109/DSAA.2018.00070

DO - 10.1109/DSAA.2018.00070

M3 - Conference contribution

AN - SCOPUS:85062852904

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.

T2 - 5th IEEE International Conference on Data Science and Advanced Analytics

Y2 - 1 October 2018 through 4 October 2018

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 doi: 10.1109/DSAA.2018.00070

Analysing Activities, Contextualized for General Health, Depression and Demographics

Abstract

Conference

UN SDGs

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