Titlebook: Intelligent Data Analysis; An Introduction Michael Berthold,David J. Hand Book 19991st edition Springer-Verlag Berlin Heidelberg 1999 Time

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隐语

Springer-Verlag Berlin Heidelberg 1999

subordinate

爱国者

Statistical Concepts,ntal design and sampling theory. Organisation and description of data is the subject area of descriptive statistics, and how to draw conclusions from data is the subject of statistical inference. In this chapter the emphasis is on the basic concepts of statistical inference, and the other topics are

圣人

Statistical Methods,. There is little on how to calculate the results, because the algorithms required have already been included in statistical packages for computers and this is how the calculations are performed in practice.

秘方药

Analysis of Time Series,em is linear, a wealth of well-established, powerful time-series analysis techniques is available to the analyst. If it is not, the problem is much harder and one must resort to nonlinear dynamics theory in order to infer useful information from the data. IDA problems are often complicated by a simu

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congenial

Fuzzy Logic,er, assume precise data. That is, they assume that we deal with exact measurements. But in most, if not all real-world scenarios, we will never have a precise measurement. There is always going to be a degree of uncertainty. Even if we are able to measure a temperature of 32.42 degrees with two sign

chronology

Stochastic Search Methods,from huge data sets (data mining), to recognize patterns, to do classification, or to suggest diagnoses, in short, systems that are adaptive and — to some extent — able to learn, fundamentally rely on effective and efficient search techniques. The ability of organisms to learn and adapt to signals f

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