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Auteur Brian C. CASTELLANI |
Documents disponibles écrits par cet auteur (2)
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Titre : Big Data Mining and Complexity Ed. 1 Type de document : e-book Auteurs : Brian C. CASTELLANI Editeur : SAGE PUBLICATIONS Année de publication : 2022 ISBN/ISSN/EAN : 9781529711004 Note générale : copyrighted Langues : Anglais (eng) Résumé : This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitations A practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88942834 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=576049
Titre : Big Data Mining and Complexity Ed. 1 Type de document : e-book Auteurs : Brian C. CASTELLANI Editeur : SAGE PUBLICATIONS Année de publication : 2022 Note générale : copyrighted Langues : Anglais (eng) Résumé : This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitations A practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88942834 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=575770
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