Analyses and Detection of Health Insurance Fraud Using Data Mining and Predictive Modeling Techniques

2017 ◽  
pp. 41-49 ◽  
Author(s):  
Pallavi Pandey ◽  
Anil Saroliya ◽  
Raushan Kumar
Keyword(s):  
Data Mining ◽  
Health Insurance ◽  
Predictive Modeling ◽  
Insurance Fraud ◽  
Modeling Techniques ◽  
Using Data

Aggregation for Predictive Modeling with Relational Data

2011 ◽  
pp. 33-38
Author(s):  
Claudia Perlich ◽  
Foster Provost
Keyword(s):  
Data Mining ◽  
Predictive Modeling ◽  
Relational Databases ◽  
Feature Vector ◽  
Relational Data ◽  
Government Organizations ◽  
Modeling Techniques ◽  
Aggregation Of Information ◽  
New Challenges

Most data mining and modeling techniques have been developed for data represented as a single table, where every row is a feature vector that captures the characteristics of an observation. However, data in most domains are not of this form and consist of multiple tables with several types of entities. Such relational data are ubiquitous; both because of the large number of multi-table relational databases kept by businesses and government organizations, and because of the natural, linked nature of people, organizations, computers, and etc. Relational data pose new challenges for modeling and data mining, including the exploration of related entities and the aggregation of information from multi-sets (“bags”) of related entities.

Using Data Mining Techniques to Discover Patterns in an Airline's Flight Hours Assignments

2021 ◽  
pp. 107-126
Author(s):  
Francisco Javier Villar Martín ◽  
Jose Luis Castillo Sequera ◽  
Miguel Angel Navarro Huerga
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information System ◽  
Predictive Modeling ◽  
Data Model ◽  
Free Software ◽  
Data Mining Techniques ◽  
Visualization Tools ◽  
Using Data

The quality of a company's information system is essential and also its physical data model. In this article, the authors apply data mining techniques in order to generate knowledge from the information system's data model, and also to discover and understand hidden patterns within data that regulate the planning of flight hours of pilots and copilots in an airline. With this objective, they use Weka free software which offers a set of algorithms and visualization tools geared to data analysis and predictive modeling of information systems. Firstly, they apply clustering to study the information system and analyze data model; secondly, they apply association rules to discover connection patterns in data; and finally, they generate a decision tree to classify and extract more specific patterns. The authors suggest conclusions according these information system's data to improve future decision making in an airline's flight hours assignments.

Using data mining to detect crop insurance fraud: is there a role for social scientists?

2005 ◽  
Vol 12 (1) ◽  
pp. 24-32 ◽  
Author(s):  
Roderick M. Rejesus ◽  
Bertis B. Little ◽  
Ashley C. Lovell
Keyword(s):  
Data Mining ◽  
Crop Insurance ◽  
Insurance Fraud ◽  
Social Scientists ◽  
Using Data

A New Modeling Method for Mechanical Friction Based on Data Mining

2009 ◽  
Vol 16-19 ◽  
pp. 826-830
Author(s):  
Yong Fu Wang ◽  
Hua Long Cao ◽  
Yi Min Zhang ◽  
Bang Chun Wen
Keyword(s):  
Mathematical Modeling ◽  
Data Mining ◽  
Fuzzy Modeling ◽  
Static Model ◽  
Fuzzy Rules ◽  
Nonlinear Friction ◽  
Modeling Techniques ◽  
Good Potential ◽  
Using Data ◽  
Friction Dynamics

Modeling of friction force has been a challenging task in mechanical engineering. Traditional way, such as mathematical modeling approaches, was found quite difficult to achieve satisfactory performances due to some immanent nonlinearity and uncertainties in systems. This paper aims to develop fuzzy modeling techniques to characterize the friction dynamics. The proposed fuzzy modeling approach has two folds, that is, extraction of fuzzy rules using data mining techniques; setup of static model based on the fuzzy rules. The results obtained demonstrate that our proposed method in this paper has good potential in many mechanical systems with unknown nonlinear friction.

Sign in / Sign up

Export Citation Format

Share Document