Text Clustering Using Incremental Frequent Pattern Mining Approach
نویسندگان
چکیده
منابع مشابه
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In today’s emerging world, the role of data mining is increasing day by day with the new aspect of business. Data mining has been proved as a very basic tool in knowledge discovery and decision making process. Data mining technologies are very frequently used in a variety of applications. Frequent itemsets play an essential role in many data mining tasks that try to find interesting patterns fr...
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Frequent itemset originates from association rule mining. Recently, it has been applied in text mining such as document categorization, clustering, etc. In this paper, we conduct a study on text clustering using frequent itemsets. The main contribution of this paper is three manifolds. First, we present a review on existing methods of document clustering using frequent patterns. Second, a new m...
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ژورنال
عنوان ژورنال: International Journal of Data Mining & Knowledge Management Process
سال: 2015
ISSN: 2231-007X,2230-9608
DOI: 10.5121/ijdkp.2015.5605