نتایج جستجو برای: data mining models
تعداد نتایج: 3067237 فیلتر نتایج به سال:
The Internet of Things (IoT) is an emerging topic in today’s era. It has a lot of significance in technology, business, social and engineering fields. This technology provides an easier way of communication of devices with the minimal interaction of human. IoT takes advantage of advancement in network interconnections and computing ability to propose new techniques. Data mining techniques are u...
The process of historical data analysis through data mining has proven to be of value for the industrial environment. There are many models available which describe the inhouse process of data mining. However, many companies either do not have the inhouse skills or do not wish to invest in performing inhouse data mining. This research investigates the applicability of two well-established data ...
Hepatitis is a lever disease which affects majority of the population in all age group. It is the major challenge for many hospitals and public health care services for diagnosing hepatitis. Proper diagnosis and accurate prediction of the disease on time can save many patients. Data mining is an efficient tool to diagnose hepatitis from large dataset and to predict the severity of the disease. ...
In this paper we investigate the issues of data classification (as one of the branches of data mining science) in form of multi-objective mathematical programming model. The model that we present and investigate is a MODM problem. First time, based on support vector machine (SVM) idea (To maximize the margin of two groups), a multi-criteria mathematical programming model was proposed for data m...
Introduction : Using data mining to develop prediction models from large amounts of data in medicine has become increasingly popular during the recent years. In this study, we intend to use a decision tree data mining algorithm in order to identify factors influencing mortality in burn patients. Methods: The present retrospective descriptive study is based on burning patients’ records. Ov...
چکیده ندارد.
background: data mining (dm) is an approach used in extracting valuable information from environmental processes. this research depicts a dm approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (wsp) in birjand, a city in eastern iran. methods: multiple regression (mr) and neural network (nn) models were examined us...
background the presence of an infected family member significantly increases the risk of hbv transmission, but many socio-demographic and viral characteristics of family members affect the transmission rate. objectives in this study, we have used data mining techniques to investigate the impact of different variables in intrafamilial transmission of hbv infection. patients and methods demograph...
often in modeling the engineering optimization design problems, the value of objective function(s) is not clearly defined in terms of design variables. instead it is obtained by some numerical analysis such as fe structural analysis, fluid mechanic analysis, and thermodynamic analysis, etc. yet, the numerical analyses are considerably time consuming to obtain the final value of objective functi...
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