000 | 03410nam a22005535i 4500 | ||
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001 | 978-3-642-24466-7 | ||
003 | DE-He213 | ||
005 | 20140220083303.0 | ||
007 | cr nn 008mamaa | ||
008 | 120206s2012 gw | s |||| 0|eng d | ||
020 |
_a9783642244667 _9978-3-642-24466-7 |
||
024 | 7 |
_a10.1007/978-3-642-24466-7 _2doi |
|
050 | 4 | _aQA276-280 | |
072 | 7 |
_aUFM _2bicssc |
|
072 | 7 |
_aCOM077000 _2bisacsh |
|
082 | 0 | 4 |
_a519.5 _223 |
100 | 1 |
_aGaul, Wolfgang A. _eeditor. |
|
245 | 1 | 0 |
_aChallenges at the Interface of Data Analysis, Computer Science, and Optimization _h[electronic resource] : _bProceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010 / _cedited by Wolfgang A. Gaul, Andreas Geyer-Schulz, Lars Schmidt-Thieme, Jonas Kunze. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
|
300 |
_aXIV, 598p. 163 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Classification, Data Analysis, and Knowledge Organization, _x1431-8814 |
|
505 | 0 | _aClassification, Cluster Analysis, and Multidimensional Scaling -- Quantification Theory -- Analysis of m-Mode n-Way and Asymmetric Data -- Analysis of Visual, Spatial, and Temporal Data -- Network Data, Graphs, and Social Relationships -- Text Mining -- Dimension Reduction -- Statistical Musicology -- Data Analysis in Banking and Finance -- Data Analysis in Health and Environment -- Analysis of Marketing, Conjoint, and Multigroup Data -- Data Analysis in Education and Psychology -- Analysis of Tourism Data. | |
520 | _aThis volume provides approaches and solutions to challenging problems occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find an adequate analysis and interpretation of the observed data that match optimally the underlying practical situations. Beside traditional classification research, the book focuses also on current interests in fields such as the analysis of network data, graphs, and social relationships as well as on statistical musicology. | ||
650 | 0 | _aStatistics. | |
650 | 0 | _aData structures (Computer science). | |
650 | 0 | _aData mining. | |
650 | 0 | _aMathematical statistics. | |
650 | 0 | _aOperations research. | |
650 | 1 | 4 | _aStatistics. |
650 | 2 | 4 | _aStatistics and Computing/Statistics Programs. |
650 | 2 | 4 | _aData Structures. |
650 | 2 | 4 | _aOperations Research, Management Science. |
650 | 2 | 4 | _aOperation Research/Decision Theory. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
700 | 1 |
_aGeyer-Schulz, Andreas. _eeditor. |
|
700 | 1 |
_aSchmidt-Thieme, Lars. _eeditor. |
|
700 | 1 |
_aKunze, Jonas. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642244650 |
830 | 0 |
_aStudies in Classification, Data Analysis, and Knowledge Organization, _x1431-8814 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-24466-7 |
912 | _aZDB-2-SBE | ||
999 |
_c102289 _d102289 |