نتایج جستجو برای: selection data mining

تعداد نتایج: 2671477  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

Journal: :iranian journal of basic medical sciences 0
shokoufeh aalaei department of medical informatics, school of medicine, mashhad university of medical sciences, mashhad, iran hadi shahraki department of electrical engineering, faculty of engineering, university of birjand, birjand, iran alireza rowhanimanesh robotics laboratory, department of electrical engineering, university of neyshabur, neyshabur, iran saeid eslami department of medical informatics, school of medicine, mashhad university of medical sciences, mashhad, iran pharmaceutical research center, school of pharmacy, mashhad university of medical sciences, mashhad, iran department of medical informatics, academic medical center, amsterdam, the netherlands

objective(s): this study addresses feature selection for breast cancer diagnosis. the present process uses a wrapper approach using ga-based on feature selection and ps-classifier. the results of experiment show that the proposed model is comparable to the other models on wisconsin breast cancer datasets. materials and methods: to evaluate effectiveness of proposed feature selection method, we ...

Journal: :iranian journal of diabetes and obesity 0
razieh sheikhpour school of electrical and computer engineering, yazd university, yazd, iran. mehdi agha sarram school of electrical and computer engineering, yazd university, yazd, iran.

objective: diabetes is one of the most common metabolic diseases. earlier diagnosis of diabetes and treatment of hyperglycemia and related metabolic abnormalities is of vital importance. diagnosis of diabetes via proper interpretation of the diabetes data is an important classification problem. classification systems help the clinicians to predict the risk factors that cause the diabetes or pre...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2019

2000
Tom Brijs Bart Goethals Gilbert Swinnen Koen Vanhoof Geert Wets

Alireza Rowhanimanesh Hadi Shahraki Saeid Eslami, Shokoufeh Aalaei

Objective(s): This study addresses feature selection for breast cancer diagnosis. The present process uses a wrapper approach using GA-based on feature selection and PS-classifier. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer datasets. Materials and Methods: To evaluate effectiveness of proposed feature selection method, we ...

2006
Tomasz Markiewicz Stanislaw Osowski

The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are compared, including the linear SVM ranking, correlation and statistical analysis of centers and variances of clusters corresponding to different classes. We have applied radial kernel SVM as the classifier. The results...

Journal: :JSEA 2009
Tim Menzies Osamu Mizuno Yasunari Takagi Tohru Kikuno

Often, the explanatory power of a learned model must be traded off against model performance. In the case of predicting runaway software projects, we show that the twin goals of high performance and good explanatory power are achievable after applying a variety of data mining techniques (discrimination, feature subset selection, rule covering algorithms). This result is a new high water mark in...

2015
Salvador García José Ramón Cano Francisco Herrera

Evolutionary algorithms have been successfully used in different data mining problems. Given that the prototype selection problem could be seen as a combinatorial problem, evolutionary algorithms have been used to solve it with promising results. This chapter presents an evolutionary data mining application known as evolutionary prototype selection. Various approaches have been proposed in the ...

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