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Data mining techniques as a tool for knowledge management

عنوان مقاله: Data mining techniques as a tool for knowledge management
شناسه ملی مقاله: MRMEA01_140
منتشر شده در کنفرانس بین المللی پژوهشهای نوین در مدیریت، اقتصاد وحسابداری در سال 1394
مشخصات نویسندگان مقاله:

Armin Monir Abbasi - Assistant Professor, Department of Civil Engineering, Payame Noor University, Iran
Bagher Dastyar - Graduate student of construction engineering and management, faculty of engineering, payam e Noor University, Karaj branch
Alireza Asgari Sereshghi - Graduate student of construction engineering and management, faculty of engineering, payam e Noor University, Karaj branch
Hanieh Kazemnejad - Graduate student of construction engineering and management, faculty of engineering, payam e Noor University, Karaj branch

خلاصه مقاله:
Data mining (DM) is the process of trawling through data to find previously unknown relationships among the data that are interesting to the user of the data. Data mining has been considered to be a tool of knowledge management for knowledge discovery. Data mining is one of the most important steps of the knowledge discovery in databases process and is considered as significant subfield in knowledge management. Research in data mining continues growing in business and in learning organization over coming decades. The focus of this study is on evaluating how knowledge workers integrate these tools into their information and knowledge management requirements. In the other words, this paper suggests the use of data mining as a technique to support the process of knowledge management

کلمات کلیدی:
Knowledge management, Data mining, Data mining applications

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/436813/