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Besides online social networks [20, 23, 25], it is possible to apply SNA to discover knowledge in the most diverse systems, such as mobile operators [12, 19, 40], Internet websites [1, 13], railroads [13], citation networks [17], movies and actors [21], sports leagues [28] and many others.
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Discovering knowledge in such complex, high-dimensional datasets needs a concerted effort of various topics, ranging from data preprocessing, data fusion, data integration, and data mapping to interactive visualization within a low-dimensional space [41].
Data mining can discover knowledge buried in data, which would promote the value and competivity of enterprise.
Seen the production increase of fast information, a large number of data are generated and stored in computer database in need to discover knowledge and useful information [3], by applying data mining techniques such as association rules to present the result as a valid element for further use.
California Drug and Alcohol treatment Assessment (CALDATA) of administrative type database can be relevant study for the medical diagnosis in usage of alcohol and drugs for patients admitted and discharged during the stay in hospital to discover knowledge for recovery process.
Firstly, in data mining, ILP is able to discover knowledge from a multi-relational database consisting of multiple tables.
In this paper, a genetic algorithm (GA) based knowledge discovery system is proposed to discover knowledge about the fluid dispensing process.
Our mutual aim is to discover knowledge about the universe.
Data mining (DM) is a promising technology for discovering knowledge hidden in large data.
Educational data mining is nowadays well known worldwide for discovering knowledge hidden in educational data to support educational decision making.
With the advent of high-throughput methods and sheer volume of medical publications covering various diseases, biomedical researchers face challenges of distilling an enormous amount of data and discovering knowledge buried in them.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com