نتایج جستجو برای: selection data mining

تعداد نتایج: 2671477  

Journal: :journal of ai and data mining 2015
a. telikani a. shahbahrami r. tavoli

data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Journal: :مدیریت فناوری اطلاعات 0
عادل آذر دانشگاه تربیت مدرس پرویز احمدی دانشگاه تربیت مدرس محمد وحید سبط دانشگاه تربیت مدرس

the success or failure of an organization has a direct relationship with how its human resources are employed and retained. it is the case that organizations keep large amounts of information and data on entrance evaluations and processes. this information, however, is often left unutilized. data mining is considered a solution for analyzing these data. this paper is investigating educated and ...

Journal: :IEEE Transactions on Knowledge and Data Engineering 2003

Journal: :Management Science and Financial Engineering 2012

Journal: :International journal of electrical engineering and computing 2022

The application of data mining in the field education (Educational Data Mining - EDM) is becoming more and popular. Predicting final grades during studies, measuring student lecturer performance, targeting students, curriculum improvement, are just some examples that can support development this area. focus article on prediction study programme students will select their higher at Faculty Busin...

Journal: :International Journal of Computer Applications 2014

Feature selection can significantly be decisive when analyzing high dimensional data, especially with a small number of samples. Feature extraction methods do not have decent performance in these conditions. With small sample sets and high dimensional data, exploring a large search space and learning from insufficient samples becomes extremely hard. As a result, neural networks and clustering a...

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