期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：10
页码：18273
DOI：10.15680/IJIRSET.2016.0510145
出版社：S&S Publications
摘要：Data mining include tools and technique for the Extraction of knowledge from enormous warehouse ofdata. In Data Mining different techniques that used are Association Rule Mining, Sequential Pattern Mining,Clustering, and Classification. Varieties of algorithms are developed for each of these techniques. Data mining may bedefined as the discipline of extract helpful information from databases. It also called knowledge discovery. Using amixture of machine learning, statistical analysis, modeling techniques and database technology, data mining findspatterns and subtle relationships in data and infers rules that allow the prediction of future.Text mining is also called text data mining and it is defined as finding previously unknown and potentially useful fromtextual data, textual data may be either semi structured or unstructured. Text mining is used to extract interestinginformation or knowledge or pattern from the unstructured texts that are from different sources. It converts the wordsand phrases in unstructured information into numerical values which may be linked with structured information indatabase and analyzed with ancient data mining techniques. There are many techniques used in text mining such asinformation extraction, information retrieval, natural language processing (NLP), query processing, and categorizationand clustering.
关键词：Data Mining; Text Mining; Techniques; Issues; Tasks
