Model: Difference between revisions
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{{Quotation|A '''model''' in science is a physical, mathematical, or logical representation of a system of entities, phenomena, or processes. Basically a model is a simplified abstract view of the complex reality. Models are meant to augment and support humans reasoning, and further can be simulated, visualized and manipulated.|[Bertini and Lalanne, 2009]}} | {{Quotation|A '''model''' in science is a physical, mathematical, or logical representation of a system of entities, phenomena, or processes. Basically a model is a simplified abstract view of the complex reality. Models are meant to augment and support humans reasoning, and further can be simulated, visualized and manipulated.|[Bertini and Lalanne, 2009]}} | ||
see [[Knowledge Discovery]] for an explanation of the relationship between [[Data]], [[Information]], [[Insight]], [[Model]], [[Pattern]], [[Hypothesis]], [[Knowledge]] and [[Knowledge Crystallization]]. | |||
== References == | == References == | ||
Latest revision as of 11:47, 21 August 2009
A model in science is a physical, mathematical, or logical representation of a system of entities, phenomena, or processes. Basically a model is a simplified abstract view of the complex reality. Models are meant to augment and support humans reasoning, and further can be simulated, visualized and manipulated.
[Bertini and Lalanne, 2009]
see Knowledge Discovery for an explanation of the relationship between Data, Information, Insight, Model, Pattern, Hypothesis, Knowledge and Knowledge Crystallization.
References[edit]
- [Bertini and Lalanne, 2009] Bertini, E. and Lalanne, D. 2009. 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 '09. ACM, New York, NY, 12-20