توضیحات
ABSTRACT
Data mining [Chen et al. 1996] is the process of extracting interesting (non-trivial implicit, previously unknown and potentially useful) information or patterns from large information repositories such as: relational database, data warehouses, XMLrepository, etc. Also data mining is known as one of the core processes of KnowledgeDiscovery in Database (KDD).
INTRODUCTION
Many people take data mining as a synonym for another popular term, Knowledge Discovery in Database (KDD).Alternatively other people treat Data Mining as the core process of KDD. The KDD processes are shown in Figure 1 [Han and Kamber 2000]. Usually there are three processes. One is called preprocessing, which is executed before data mining techniques are applied to the right data. The preprocessing includes data cleaning, integration, selection and transformation. The main process of KDD is the data mining process, in this process different algorithms
are applied to produce hidden knowledge. After that comes another process called postprocessing, which evaluates the mining result according to users’ requirements and domain knowledge. Regarding the evaluation results, the knowledge can be presented if the result is satisfactory, otherwise we have to run some or all of those processes again until we get the satisfactory result. The actually processes work as follows.
Year:2003
Publisher: CAIS
By: Qiankun Zhao , Sourav S Bhowmick
File Information:English Language/ 20Page / size:243KB
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سال :2003
ناشر :CAIS
کاری از : Qiankun Zhao , Sourav S Bhowmick
اطلاعات فایل : زبان انگلیسی / 20صفحه / حجم : 243KB
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