نتایج جستجو برای: data preprocessing model
تعداد نتایج: 3971512 فیلتر نتایج به سال:
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
Raman spectroscopy is applied for characterizing paintable displays. Few other options than Raman spectroscopy exist for doing so because of the liquid nature of functional materials. The challenge is to develop a method that can be used for estimating the composition of a single display cell on the basis of the collected three-dimensional Raman spectra. A classical least squares (CLS) model is...
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
We describe the usage of the Multi-agent system in the data preprocessing stage of an on-going project, called eWedding. The aim of this project is to utilize MAS and various approaches, like Web services, Ontology, and Data mining techniques, in e-Business that want to improve responsiveness and efficiency of systems so as to extract customer behavior model on Wedding Businesses. However, in t...
Purpose – Churn prediction is a very important task for successful customer relationship management. In general, churn prediction can be achieved by many data mining techniques. However, during data mining, dimensionality reduction (or feature selection) and data reduction are the two important data preprocessing steps. In particular, the aims of feature selection and data reduction are to filt...
Web navigation patterns discovered from usage data can be used to build prediction model to recommend interesting web pages to the users. A user session may have one or more transactions. Identification of transactions or user behaviors from session data is difficult because web pages cannot be classified strictly as navigation or content pages. In order to identify transactions from log data, ...
2 Method 2 2.1 Data preprocessing and normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 B-spline basis model based hypothesis testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.3 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.4 Candidate model evaluation . . ....
type text or a website address or translate a document. abstract liquidity is considered the most important aspect of the development of stock markets. the main objective of this study was to evaluate the effect of the quality of financial information provided to replace its financial statements nmvdh and shrkt hayy that the liquidity of the shares on the tehran stock exchange is between the ...
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