https://infovis-wiki.net/w/index.php?action=history&feed=atom&title=Knowledge_Discovery 2026-05-05T07:19:44Z Revision history for this page on the wiki MediaWiki 1.45.3 https://infovis-wiki.net/w/index.php?title=Knowledge_Discovery&diff=21846&oldid=prev 2009-08-21T09:44:10Z

<p>New page: {{Quotation|In the context of <a href="/wiki/Knowledge_Discovery" title="Knowledge Discovery">knowledge discovery</a>, we believe these concepts can be linked as follow: <a href="/wiki/Data" title="Data">Data</a> are the lowest level of abstraction; researchers ofte...</p> <p><b>New page</b></p><div>{{Quotation|In the context of [[Knowledge Discovery|knowledge discovery]], we believe these concepts can be linked as follow: [[Data]] are the lowest level of abstraction; researchers often speak about raw data to emphasize this fact. From data, [[Model|models]] and [[Pattern|patterns]] can be extracted, either automatically using [[Data Mining|data mining]] techniques or by humans using their conceptual, [[Perception|perceptual]] or visual skills respectively. The use of human intuition to come up with observations about the data is generally called [[Insight|insight]], i.e., the act or outcome of grasping the inward or hidden nature of things or of perceiving in an intuitive manner. [[Pattern|Patterns]] and [[Model|models]] are not necessarily linked, even though some authors consider them as synonyms. One way to distinguish these two concepts is the following: [[Pattern|patterns]] are directly attached to [[Data|data]] or a sub-set of data; whereas [[Model|models]] are more conceptual and are extra [[Information|information]] that cannot necessarily be observed visually in the [[Data|data]]. Further, the observation of some [[Pattern|patterns]] can result in a [[Model|model]] and inversely, the simulation of a [[Model|model]] can result in a [[Pattern|pattern]]. [[Hypothesis|Hypotheses]] are derived from [[Model|models]] and [[Pattern|patterns]]. A validated [[Hypothesis|hypothesis]] becomes [[Information|information]] that can be communicated. Finally, [[Information|information]] reaches the solid state of [[Knowledge|knowledge]] when it is [[Knowledge Crystallization|crystallized]], i.e., it reaches the most compact description possible for a set of [[Data|data]] relative to some task without removing [[Information|information]] critical to its execution.|[Bertini and Lalanne, 2009]}}<br /> <br /> == References ==<br /> *[Bertini and Lalanne, 2009] Bertini, E. and Lalanne, D. 2009. [http://doi.acm.org/10.1145/1562849.1562851 Surveying the complementary role of automatic data analysis and visualization in knowledge discovery]. In Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: integrating Automated Analysis with interactive Exploration (Paris, France, July 28 - 28, 2009). VAKD &#039;09. ACM, New York, NY, 12-20<br /> <br /> <br /> [[Category:Glossary]]</div>

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