Forage de données d'assurance : techniques, éthique, et sécurité

保证的来源：技术、技巧和安全

• 批准号: 537198-2018
• 负责人: Khoury, Richard
• 金额: $ 12.67万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693992
• 关键词: Forage; de; donn; es; assurance

The Canadian insurance company La Capitale Assurance et Services Financiers has accumulated over time several massive databases of information about their customers in their various insurance programs. They are now looking for a way to exploit this data to gain a better understanding of their customers, in order to customize their insurance coverage to each individual customer's needs. This must be done in the respect of strict ethical norms and within the constraints that the users themselves may impose on how the company can use their data. And, considering the sensitive and personal nature of the information obtained, data security must be extremely robust.This research program is thus aligned around three fundamental axes. The data mining axis aims to develop new algorithms to infer information about individual customers from data about their interactions with the company. The ethics and social acceptability axis studies customer expectations about this data mining, both regarding how they will benefit from it and how their private lives will be protected. And the data security axis develops new techniques to guarantee the confidentiality, integrity, availability, and traceability of the data.The insurance industry is a multi-billion dollar industry in the Canadian economy, and the protection of personal information is a topic of great importance for a majority of the Canadian population. The data management tools and knowledge discovery algorithms we will will give Canadian companies an important edge in this competitive international marketplace, while guaranteeing to the Canadian population control and protection of its personal information.

加拿大保险公司 La Capitale Assurance et Services Financiers 随着时间的推移积累了多个庞大的数据库，其中包含有关其各种保险计划中的客户的信息。他们现在正在寻找一种方法来利用这些数据来更好地了解他们的客户，以便根据每个客户的需求定制他们的保险范围。这必须遵守严格的道德规范，并在用户本身对公司如何使用其数据施加的限制范围内进行。而且，考虑到所获取信息的敏感性和个人性质，数据安全性必须极其可靠。因此，该研究计划围绕三个基本轴进行调整。数据挖掘轴旨在开发新算法，从个人客户与公司互动的数据中推断出有关个人客户的信息。道德和社会可接受性轴研究客户对此数据挖掘的期望，包括他们将如何从中受益以及他们的私生活将如何受到保护。并且数据安全轴开发了新技术来保证数据的机密性、完整性、可用性和可追溯性。保险业是加拿大经济中价值数十亿美元的产业，个人信息的保护是一个非常重要的话题对于大多数加拿大人来说。我们将提供的数据管理工具和知识发现算法将为加拿大公司在这个竞争激烈的国际市场中提供重要优势，同时保证加拿大的人口控制和个人信息的保护。