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Essay / Research Paper Abstract
A 4 page paper which explains how data mining works, offers specific details about the practice, and examines future developments. Bibliography lists 4 sources.
Page Count:
4 pages (~225 words per page)
File: TG15_TGdatamine.rtf
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Unformatted sample text from the term paper:
used for data mining are actually based on earlier types of analysis or statistics gathering that were being used when artificial intelligence was in its infancy (Whiting, 1997). What
makes data mining distinctive from other types of information retrieval technology is that it actually chooses and calculates for the searcher, and then generates categories in which information is placed
based upon these determinations (Banerjee, 1998). Data mining software first identifies search documents, and then must figure out how to extract only the information that satisfies the users
query (Banerjee, 1998). After this data has been gathered, a determination of which type of algorithms must be used to organize the information (Banerjee, 1998). This is where
the mining part comes in. The algorithms are the tools selected to perform various tasks. For example, associations/infinity devises rules so that different sets of items can share
a common link (Whiting, 1997). Sequences/temporal patterns make an association or affinity based on time, using statistics to group unlike objects together (Whiting, 1997; Banerjee, 1998). Through sequences,
search paths are created that help the user decide which documents should be read together in order to save time (Banerjee, 1998). Classification is a way of assigning new
information to categories that already exist (Whiting, 1997). Clustering, similar to classification, is when classes are determined through probabilities rather than predetermination (Banerjee, 1998). Other types of data
mining tools include decision trees, neural networks, generic algorithms, and abstract software (Whiting, 1997). Data mining is a way of transforming basic raw data into knowledge that can perform several
advantageous functions within the government and private sectors. Some of its many uses include market analysis, predicting consumer behavior, and revealing credit card fraud (Whiting, 1997). The term
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