نتایج جستجو برای: selection data mining

تعداد نتایج: 2671477  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1389

abstract: about 60% of total premium of insurance industry is pertained?to life policies in the world; while the life insurance total premium in iran is less than 6% of total premium in insurance industry in 2008 (sigma, no 3/2009). among the reasons that discourage the life insurance industry is the problem of adverse selection. adverse selection theory describes a situation where the inf...

Journal: :Jurnal informatika Universitas Pamulang 2021

In determining marketing strategies, the bank performs a classification from customer database, database will be analyzed by decision maker and this is not easy for maker, because of complexity vast data many attributes owned, so that it becomes an obstacle obstacle. in making. This course can have negative effect on company's business processes there delays strategies. Data mining method class...

Journal: :iranian journal of veterinary research 2011
m. ebrahimi

prolactin is mainly secreted by the anterior pituitary and is able to stimulate mammary gland development and lactation in mammalians. although prolactins share a common ancestral gene encoding, they show species specific characteristics and their efficiency may be different in various mammals. the importance of protein structures of all sequences of this hormone have been studied by various bi...

Journal: :Academic platform-Journal of engineering and science 2021

Cardiovascular diseases responsible for many deaths are very common and important health problems. According to World Health Organization, each year 17.7 million people die because of them. Coronary artery disease is the most type cardiovascular that cause serious heart problems in patients, affecting heart’s function negatively. Being aware attributes this will help field-specialist analysis r...

Journal: :International Journal of Computer Applications 2017

2012
V. Arul Kumar

Feature Selection is the process of selecting the momentous feature subset from the original ones. This technique is frequently used as a preprocessing technique in data mining. In this study, a new feature selection algorithm is proposed and is called Modified Fisher Score Principal Feature Analysis (MFSPFA). The new algorithm is developed by combining the proposed Modified Fisher Score (MFS) ...

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