000 | 02808nam a22005295i 4500 | ||
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001 | 978-3-642-41251-6 | ||
003 | DE-He213 | ||
005 | 20200421111840.0 | ||
007 | cr nn 008mamaa | ||
008 | 141030s2014 gw | s |||| 0|eng d | ||
020 |
_a9783642412516 _9978-3-642-41251-6 |
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024 | 7 |
_a10.1007/978-3-642-41251-6 _2doi |
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050 | 4 | _aQA76.9.D343 | |
072 | 7 |
_aUNF _2bicssc |
|
072 | 7 |
_aUYQE _2bicssc |
|
072 | 7 |
_aCOM021030 _2bisacsh |
|
082 | 0 | 4 |
_a006.312 _223 |
100 | 1 |
_aQin, Zengchang. _eauthor. |
|
245 | 1 | 0 |
_aUncertainty Modeling for Data Mining _h[electronic resource] : _bA Label Semantics Approach / _cby Zengchang Qin, Yongchuan Tang. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014. |
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300 |
_aXIX, 291 p. _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 |
_aAdvanced Topics in Science and Technology in China, _x1995-6819 |
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520 | _aMachine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning. Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China. | ||
650 | 0 | _aComputer science. | |
650 | 0 |
_aComputer science _xMathematics. |
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650 | 0 | _aComputers. | |
650 | 0 | _aData mining. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aInformation Systems and Communication Service. |
650 | 2 | 4 | _aMath Applications in Computer Science. |
700 | 1 |
_aTang, Yongchuan. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642412509 |
830 | 0 |
_aAdvanced Topics in Science and Technology in China, _x1995-6819 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-41251-6 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c55499 _d55499 |