Computer Science : Data Mining1

Running Head: DATA MININGStudent NameProfessors NameCourse TitleDateDATA MINING2Question 1In most cases, the two terms, data mining and text mining, are used interchangeably todescribe the various ways of data processing. Until very recently, data mining has always beendefined as the extraction of information from structured data contained in data warehouses anddatabases (Berry et al., 2010). Today, most of the organizational data available are unstructuredalthough it includes, facts, numbers, and dates obtained from structured fields. Unstructured datais mainly composed of standard texts such as blog posts, web content, and articles. It usuallymakes it difficult to perform knowledge management because traditional business intelligencetools are used. Discovery of information sources that only contain unstructured information ortext is known as text mining. Accordingly, the main difference between text and data mining isthe use of unstructured data.Just like data mining, text mining uses a broad variety of techniques and technologies.Some of the methods used in text mining include keyword based technologies, linguistic-basedtechnologies, and statistic based technologies. Keyword-based technologies are based on theinput which selects keywords from the text by use of filters such as character strings rather thanconcepts or words (Maheshwari, 2015). On the other hand, statistical technologies use systembased machine learning that mainly leverages on ...


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