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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.
The problem with those search options is that they're so foreign to the way we think about discovering knowledge.
The resulting Big Linked Data allows discovering knowledge distributed across manifold sources, making it viable for the serendipitous discovery of novel knowledge.
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].
The worrying side of this story is that this big data contain personal sensitive information, so that the opportunities of discovering knowledge increase with the risks of privacy violation.
Similar(49)
Although Bollinger acknowledges that Columbia has an obligation to its surrounding community, he says he believes that Columbia's nonprofit status also works the other way around: "We're not here to make money, we're here to discover knowledge.
The discovered knowledge is then finally deployed.
Our mutual aim is to discover knowledge about the universe.
Text mining is a process to automatically discover knowledge from unstructured data.
The underlying methodology aims to discover knowledge, interesting patterns and relations that contribute to student dropout.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com