By Florin Gorunescu
The information discovery technique is as previous as Homo sapiens. until eventually a while in the past this strategy was once exclusively in accordance with the ‘natural personal' desktop supplied by means of mom Nature. thankfully, in contemporary many years the matter has began to be solved in keeping with the advance of the information mining know-how, aided by way of the massive computational energy of the 'artificial' desktops. Digging intelligently in numerous huge databases, info mining goals to extract implicit, formerly unknown and in all likelihood worthwhile details from info, for the reason that “knowledge is power”. The target of this ebook is to supply, in a pleasant manner, either theoretical ideas and, particularly, useful thoughts of this interesting box, able to be utilized in real-world events. therefore, it truly is intended for all those that desire to tips on how to discover and research of huge amounts of information with the intention to observe the hidden nugget of knowledge.
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Additional resources for Data Mining: Concepts, Models and Techniques (Intelligent Systems Reference Library, Volume 12)
Just remember the consequences of Hurricane Katrina (f nal category 5, on August 28, 2005), along the Gulf of Mexico coast from central Florida to Texas, with its dramatic consequences. However, let us highlight the case where the model is built exclusively for the purpose of making decisions. ). When applying the decision models in medicine, it is worth to mention the diagnosis-oriented software, designed exclusively to assist the medical doctor in choosing the best diagnosis, and, implicitly, the best corresponding treatment.
After we passed the f rst step, that is the identif cation of a suitable (abstract) model for the given prototype, we follow this stage up with the process of “customizing” it with numerical data to obtain a concrete model. ) are no longer useful for us, but concrete data have to be entered in the model. This phase of transition from the general form of the selected model to the numerical form, ready to be used in practice, is called “f tting the model to the data” (or, adjusting the model to the data).
As noted from the very beginning, data mining uses any method of data analysis to discover the information hidden there and, naturally, uses the appropriate terminology too. Obviously, it is impossible to review even a part of the terms used in data mining. A brief Internet search will produce a huge list of terms in connection with data mining, which is not surprising at all. Below it is presented just a small sample of terms -randomly chosen- with direct reference to data mining applications.