The Food Enterprise Risk Warning Technology Based on Data Mining and Information Fusion
نویسنده
چکیده
The food enterprise risk warning problem is an important issue both in the theoretical and practical aspects. For this reason, a novel risk warning technology is proposed to food enterprises based on data mining and information fusion. Experimental results suggest that this technology is feasible, correct and valid. Experimental results and trend analysis has many practical significance for assisting government management and decision of import and export food agricultural product safety.
منابع مشابه
Comparison of Four Data Mining Algorithms for Predicting Colorectal Cancer Risk
Background and Objective: Colorectal cancer (CRC) is one of the most prevalent malignancies in the world. The early detection of CRC is not only a simple process, but it is also the key to its treatment. Given that data mining algorithms could be potentially useful in cancer prognosis, diagnosis, and treatment, the main focus of this study is to measure the performance of some data mining class...
متن کاملEnterprise Risk Management and Performance of Financial Institutions in Iraq: The Mediating Effect of Information Technology Quality
Enterprise risk management represents a process of assessing exposure to risks in an institution. It is a systematic mechanism and a comprehensive tool for predicting events, including unexpected events, and their impacts. This paper is a conceptual study. It aims at designing a model for testing the mediation effect of information technology (IT) quality on the relationship between the enterpr...
متن کاملA Novel Method for Selecting the Supplier Based on Association Rule Mining
One of important problems in supply chains management is supplier selection. In a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. Many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...
متن کاملTrouble Spots in Online Direct-to-Consumer Prescription Drug Promotion: A Content Analysis of FDA Warning Letters
Background For the purpose of understanding the Food and Drug Administration’s (FDA’s) concerns regarding online promotion of prescription drugs advertised directly to consumers, this study examines notices of violations (NOVs) and warning letters issued by the FDA to pharmaceutical manufacturers. Methods The FDA’s warning letters and NOVs, which were issued to pharmaceutical companies over a...
متن کاملCredit scoring in banks and financial institutions via data mining techniques: A literature review
This paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in Credit scoring. Yet there isn’t any literature in the field of data mining applications in credit scoring. Using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the Science direct onli...
متن کامل