@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",
}
