FRAUD CLAIM DETECTION USING SPARK
Keywords:
RELATED WORK, INTRODUCTIONAbstract
Objective:To reduce the fraud claims in health insurances companies and to improve outcomes in health care industryAnalysis:In the existing system, Apache hadoopand Apache hive is used for processing data, it is a batch processing system. In proposed system, Apache spark is used for processing streaming data. Findings:EHR record is used as data source, it contains unique id for patients across world, so it is very easy to detect fraud claim with help of patientid. Apache spark processing streaming data on regular basis. But in existing system Apache hadoop and Apache hive takes hours of time to process the stored data.Improvement:Rule based model machine learning algorithm is used for detecting and automating the fraud claim and Apachespark is used for fast processing data, so it is moreaccurate and fast.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution- 4.0 International License (CC BY-4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
