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The financial and insurance sector is characterized by business processes that are largely automated, but are also intermittently interrupted in some places by a required manual employee interaction. This provokes a certain complexity in handling those automated processes. Compared to other sectors, the financial and insurance sector has recognized the potential of IT-solutions for the automation...
Since China launched the national silk road economic belt and formulate action plans, Xinjiang as the core of the land of the silk road economic belt looks remarkably, build Urumqi as the central Asia regional financial center. This is of great significance to the development of the west and to the outside world. In this paper, by analyzing the financial current situation of Urumqi, and will be in...
Insurance plays a key role in the financial industry, and it is also of great importance for people's socio-economic life. Therefore, in this paper, we demonstrate on the problem of analyzing the operating performance of insurance companies, and it is crucial for modern financial industry development. Firstly, we design an index system for evaluating operating performance of insurance companies, which...
Fraud and abuse have caused significant cost in the health care systems of many countries. This paper aims to provide a review on health care fraud detection, based on big data approach. For this reason, available articles in the literature were reviewed with focuses on classifying techniques, identifying the major sources and characteristics of the data. The recent solutions and challenges in health...
Modern healthcare service records, called Claims, record the medical treatments by a Provider (Doctor/Clinic), medication advised etc., along with the charges, and payments to be made by the patient and the Payer (insurance provider). Denial and rejection of healthcare claims is a significant administrative burden and source of loss to various healthcare providers and payers as well. Automating the...
Background. Stability and growth in life insurance market is an important economic indicator. Therefore, yearly coverage lapse-rate estimates are one of the key statistics that actuarial analysts need to characterize and manage the insurance business. Aim. We aim to present machine learning based approach applied to a real data set covering a decade long customer history of an international financial...
Big Data technologies provide new opportunities to enable improved methods and facilities for raising the quality and efficiency of healthcare services. The specific characteristics of health data and information, their huge amount and diversity of sources have imposed the intensive use of Big Data Analytics in the health domain. Health software applications have become sustainable and compulsory...
Nowadays the exponential evolution of repositories in business information data has led to an unorganized, huge, and unstructured data collection. Hence, it has become increasingly difficult to retrieve useful information from these large collections of data. Business Intelligence System Model is therefore proposed as a process-focused design for understanding and evaluating the effectiveness of information...
This paper describes our blockchain architecture as a new system solution to supply a reliable mechanism for secure and efficient medical record exchanges. The Advanced Block-Chain (ABC) approach was designed to meet the demands in healthcare growth as well as in the new form of social interactive norms. It is going to revolutionize the e-Health industry with greater efficiency by eliminating many...
This paper takes the basic endowment insurance related to social stability and economic development as an example to study the emotional analysis. Extracting major public opinion events and public attitudes related to the basic endowment insurance from the microblog, the paper extracts the subjective review information as the object of the study and perfects the emotional dictionary of the social...
Fraudulent activities (e.g., suspicious credit card transaction, financial reporting fraud, and money laundering) are critical concerns to various entities including bank, insurance companies, and public service organizations. Typically, these activities lead to detrimental effects on the victims such as a financial loss. Over the years, fraud analysis techniques underwent a rigorous development....
Fraud is a criminal practice for illegitimate gain of wealth or tampering information. Fraudulent activities are of critical concern because of their severe impact on organizations, communities as well as individuals. Over the last few years, various techniques from different areas such as data mining, machine learning, and statistics have been proposed to deal with fraudulent activities. Unfortunately,...
There has been a surge in the deployment of Vehicleto-Vehicle or Vehicle-to-Infrastucture (V2X) telematics in recent years. One of the promising revenue streams in the telematic ecosystem is the use of diagnostic data to provide insurance relevant information. The use of telematic insurance requires the collection of a vast amount of vehicular data. Some of this data is clearly indicated in the web...
One of the biggest cyber-security problems that our critical infrastructures face is the underinvestment in cyber-security solutions by private firms operating these systems. A healthy market insurance may incentivize asset owners to invest more in cyber-security protections in order to pay lower premiums to manage their residual risk. In this paper we model the problem of optimal risk management...
Electrification of the vehicle market is aiding in increasing fuel efficiencies of vehicles while lowering emissions. However, eventually the vehicle battery will reach its End-of-Life (EOL) point, usually referred to as the point when the State-of-Health (SOH) of the battery is at 80% [1]. At this point, the battery can no longer be used in its original vehicle application, and must be removed for...
Reducing length of stay (LOS) in the emergency department (ED) has been a challenge for hospitals for many years. Patient’s LOS is affected by many factors such as medical, demographics and ED operations (i.e., availability of staff and other resources). In order to reduce LOS, the hospital management first needs to find the main drivers for long LOS. Due to the large number of factors influencing...
Restricted by the localization management and other factors, the social security level of the floating population in China is quite different. This study used the 2014 national population dynamic monitoring data, employment and living conditions, social insurance, housing and living conditions, public health and health conditions of the four first level indexes and two stage grey clustering model...
Fraud, waste, and abuse in medical insurance contributes to significant increases in costs for providers and patients. One way to reduce costs is through the detection of abnormal medical practices that could indicate possible fraud. In this paper, we expand upon our previous research into medical specialty anomaly detection by validating the efficacy of our model using real-world fraud cases, and...
Exploitable software vulnerabilities pose severe threats to its information security and privacy. Although a great amount of efforts have been dedicated to improving software security, research on quantifying software exploitability is still in its infancy. In this work, we propose ExploitMeter, a fuzzing-based framework of quantifying software exploitability that facilitates decision-making for software...
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