Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry

Hevel Jean-Baptiste; Meikang Qiu; Keke Gai; Lixin Tao

doi:10.1109/CSCloud.2015.69

Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry

Hevel Jean-Baptiste^*
, Meikang Qiu
, Keke Gai
, Lixin Tao

^*Corresponding author for this work

Pace University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

The growing trend of the e-banking has driven the implementations of big data in financial industry. Data analytic is considered one of the most critical aspects in current economic development, which is broadly accepted in various financial domains, such as risk forecast and risk management. However, gaining an accurate risk prediction is still a challenging issue for current financial service institutions and the hazards can be caused in various perspectives. This paper proposes an approach using meta meta-analytics for risks forecast in big data. The proposed model is Meta Meta-Analytics Risk Forecast Model (MMA-RFM) with a crucial algorithm Regression with Meta Meta-Analytics Algorithm (RMMA). The proposed schema has been examined by the experimental evaluation in which it performs an optimized performance.

Original language	English
Title of host publication	Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015
Editors	Tao Zhang, Sajal K. Das, Tao Zhang, Meikang Qiu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	272-277
Number of pages	6
ISBN (Electronic)	9781467392990
DOIs	https://doi.org/10.1109/CSCloud.2015.69
Publication status	Published - 4 Jan 2016
Externally published	Yes
Event	2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - New York, United States Duration: 3 Nov 2015 → 5 Nov 2015

Publication series

Name	Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015

Conference

Conference	2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015
Country/Territory	United States
City	New York
Period	3/11/15 → 5/11/15

UN SDGs

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

SDG 8 Decent Work and Economic Growth

Keywords

Meta meta-analytics
big data
metaregression
risk forecast

Access to Document

10.1109/CSCloud.2015.69

Cite this

Jean-Baptiste, H., Qiu, M., Gai, K., & Tao, L. (2016). Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry. In T. Zhang, S. K. Das, T. Zhang, & M. Qiu (Eds.), Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015 (pp. 272-277). Article 7371493 (Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCloud.2015.69

Jean-Baptiste, Hevel ; Qiu, Meikang ; Gai, Keke et al. / Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry. Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015. editor / Tao Zhang ; Sajal K. Das ; Tao Zhang ; Meikang Qiu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 272-277 (Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015).

@inproceedings{80ab74fc66314109ae421a4062790efe,

title = "Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry",

abstract = "The growing trend of the e-banking has driven the implementations of big data in financial industry. Data analytic is considered one of the most critical aspects in current economic development, which is broadly accepted in various financial domains, such as risk forecast and risk management. However, gaining an accurate risk prediction is still a challenging issue for current financial service institutions and the hazards can be caused in various perspectives. This paper proposes an approach using meta meta-analytics for risks forecast in big data. The proposed model is Meta Meta-Analytics Risk Forecast Model (MMA-RFM) with a crucial algorithm Regression with Meta Meta-Analytics Algorithm (RMMA). The proposed schema has been examined by the experimental evaluation in which it performs an optimized performance.",

keywords = "Meta meta-analytics, big data, metaregression, risk forecast",

author = "Hevel Jean-Baptiste and Meikang Qiu and Keke Gai and Lixin Tao",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 ; Conference date: 03-11-2015 Through 05-11-2015",

year = "2016",

month = jan,

day = "4",

doi = "10.1109/CSCloud.2015.69",

language = "English",

series = "Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015",

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

pages = "272--277",

editor = "Tao Zhang and Das, \{Sajal K.\} and Tao Zhang and Meikang Qiu",

booktitle = "Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015",

address = "United States",

}

Jean-Baptiste, H, Qiu, M, Gai, K & Tao, L 2016, Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry. in T Zhang, SK Das, T Zhang & M Qiu (eds), Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015., 7371493, Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 272-277, 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015, New York, United States, 3/11/15. https://doi.org/10.1109/CSCloud.2015.69

Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry. / Jean-Baptiste, Hevel; Qiu, Meikang; Gai, Keke et al.
Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015. ed. / Tao Zhang; Sajal K. Das; Tao Zhang; Meikang Qiu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 272-277 7371493 (Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry

AU - Jean-Baptiste, Hevel

AU - Qiu, Meikang

AU - Gai, Keke

AU - Tao, Lixin

PY - 2016/1/4

Y1 - 2016/1/4

N2 - The growing trend of the e-banking has driven the implementations of big data in financial industry. Data analytic is considered one of the most critical aspects in current economic development, which is broadly accepted in various financial domains, such as risk forecast and risk management. However, gaining an accurate risk prediction is still a challenging issue for current financial service institutions and the hazards can be caused in various perspectives. This paper proposes an approach using meta meta-analytics for risks forecast in big data. The proposed model is Meta Meta-Analytics Risk Forecast Model (MMA-RFM) with a crucial algorithm Regression with Meta Meta-Analytics Algorithm (RMMA). The proposed schema has been examined by the experimental evaluation in which it performs an optimized performance.

AB - The growing trend of the e-banking has driven the implementations of big data in financial industry. Data analytic is considered one of the most critical aspects in current economic development, which is broadly accepted in various financial domains, such as risk forecast and risk management. However, gaining an accurate risk prediction is still a challenging issue for current financial service institutions and the hazards can be caused in various perspectives. This paper proposes an approach using meta meta-analytics for risks forecast in big data. The proposed model is Meta Meta-Analytics Risk Forecast Model (MMA-RFM) with a crucial algorithm Regression with Meta Meta-Analytics Algorithm (RMMA). The proposed schema has been examined by the experimental evaluation in which it performs an optimized performance.

KW - Meta meta-analytics

KW - big data

KW - metaregression

KW - risk forecast

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M3 - Conference contribution

AN - SCOPUS:84962881524

T3 - Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015

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BT - Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015

A2 - Zhang, Tao

A2 - Das, Sajal K.

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A2 - Qiu, Meikang

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 3 November 2015 through 5 November 2015

ER -

Jean-Baptiste H, Qiu M, Gai K, Tao L. Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry. In Zhang T, Das SK, Zhang T, Qiu M, editors, Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 272-277. 7371493. (Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015). doi: 10.1109/CSCloud.2015.69

Meta Meta-Analytics for Risk Forecast Using Big Data Meta-Regression in Financial Industry

Abstract

Publication series

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UN SDGs

Keywords

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