000 | 03131nam a22005415i 4500 | ||
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001 | 978-3-642-28667-4 | ||
003 | DE-He213 | ||
005 | 20200421112043.0 | ||
007 | cr nn 008mamaa | ||
008 | 120727s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642286674 _9978-3-642-28667-4 |
||
024 | 7 |
_a10.1007/978-3-642-28667-4 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aChikalov, Igor. _eauthor. |
|
245 | 1 | 0 |
_aThree Approaches to Data Analysis _h[electronic resource] : _bTest Theory, Rough Sets and Logical Analysis of Data / _cby Igor Chikalov, Vadim Lozin, Irina Lozina, Mikhail Moshkov, Hung Son Nguyen, Andrzej Skowron, Beata Zielosko. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXVIII, 202 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v41 |
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505 | 0 | _aTest Theory: Tools and Applications -- Rough Sets -- Logical Analysis of Data: Theory, Methodology and Applications. | |
520 | _aIn this book, the following three approaches to data analysis are presented:  - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958, -           Rough Sets, founded by Zdzis�aw I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982, -           Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aLozin, Vadim. _eauthor. |
|
700 | 1 |
_aLozina, Irina. _eauthor. |
|
700 | 1 |
_aMoshkov, Mikhail. _eauthor. |
|
700 | 1 |
_aNguyen, Hung Son. _eauthor. |
|
700 | 1 |
_aSkowron, Andrzej. _eauthor. |
|
700 | 1 |
_aZielosko, Beata. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642286667 |
830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v41 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-28667-4 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c56780 _d56780 |