Surveying Fuzzy Classification and Clustering Techniques
نویسنده
چکیده
Data acquisition and maintenance to any industry is multiplying at an enormous speed. In any industry the produced data is not only massive but also quite complex. As a result, proper handling of data is of prime importance in order to convert the available data into useful information that leads to knowledge and apposite decision making. Use of data mining in the healthcare industry is proving to be a boon for attaining speedy, accurate and futuristic results. This paper presents a review of Fuzzy approaches of data mining techniques in and a survey of current techniques of knowledge discovery in databases using data mining techniques that are in use today.
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تاریخ انتشار 2014