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An Introduction to Data Mining

... Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. ... [full article] (28 views)
This bookmark is tagged as: white paper | data mining | data mining foundations
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Feature vector

... In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis. When representing images, the feature values might correspond to the pixels of an image, when representing texts perhaps to term occurrence frequencies. ... [full article] (27 views)
This bookmark is tagged as: feature vector | machine learning | pattern recognition | data mining
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Noisy text

... Noise in text can be defined as any kind of difference between the surface form of a coded representation of the text[disambiguation needed] and the intended, correct, or original text. ... [full article] (30 views)
This bookmark is tagged as: text processing | noisy text | unstructured data | data mining
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