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| 003 | ES-MaUEC | ||
| 005 | 20230327123820.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 220601s2018 sz | o |||| 0|eng d | ||
| 020 | _a9783031793905 | ||
| 024 | 7 |
_a10.1007/978-3-031-79390-5 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aHF5415.2 _b2018 EB |
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| 100 | 1 |
_aAkinkunmi, Mustapha _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687523 |
|
| 245 | 1 | 0 |
_aData Mining and Market Intelligence : _bImplications for Decision Making _cby Mustapha Akinkunmi |
| 250 | _a1st edition 2018 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
|
| 300 | _a1 recurso en línea (XXII, 159 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Engineering _x1939-523X |
|
| 505 | 0 | _aForeword -- Preface -- Acknowledgments -- Acronyms -- Introduction to Market Intelligence -- The Market Research Process -- Qualitative Techniques -- Quantitative Techniques -- Hypothesis Testing and Regression Analysis -- Analyzing Survey Data -- Index Methodology -- Digital Media Monitoring, Measurement, and Modeling -- Causal Methods -- Mobile Data Mining -- Bibliography -- Author's Biography. | |
| 520 | _aThis book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining. Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics. | ||
| 988 | _aSynthesis Collection of Technology_2018 | ||
| 650 | 7 |
_2embne _9152536 _aAnálisis de mercado |
|
| 650 | 7 |
_2embne _9162648 _aData mining |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031793912 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031793899 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031793929 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79390-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b03/2023 _dz _eb _zSI |
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