000 | 02952nam a22005175i 4500 | ||
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001 | 978-3-642-35230-0 | ||
003 | DE-He213 | ||
005 | 20200421111842.0 | ||
007 | cr nn 008mamaa | ||
008 | 121214s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642352300 _9978-3-642-35230-0 |
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024 | 7 |
_a10.1007/978-3-642-35230-0 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aAdvances in Self-Organizing Maps _h[electronic resource] : _b9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings / _cedited by Pablo A. Est�evez, Jos�e C. Pr�incipe, Pablo Zegers. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXIV, 364 p. 133 illus. _bonline resource. |
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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 |
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490 | 1 |
_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v198 |
|
505 | 0 | _aNonlinear Analysis and Time Series -- Text Mining and Language Processing -- Applications of Data Mining and Analysis. | |
520 | _aSelf-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields. This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aComplexity, Computational. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aComplexity. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aEst�evez, Pablo A. _eeditor. |
|
700 | 1 |
_aPr�incipe, Jos�e C. _eeditor. |
|
700 | 1 |
_aZegers, Pablo. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642352294 |
830 | 0 |
_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v198 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-35230-0 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c55629 _d55629 |