Big Data Mining and Complexity / The SAGE Quantitative Research Kit (ePub)
(Sprache: Englisch)
This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide:
...
...
sofort als Download lieferbar
eBook (ePub)
40.99 €
20 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Big Data Mining and Complexity / The SAGE Quantitative Research Kit (ePub)“
This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide:
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.
- 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.
Autoren-Porträt von Brian C. Castellani, Rajeev Rajaram
In addition to being a Professor of Sociology at Durham University, I am currently Adjunct Professor of Psychiatry (Northeast Ohio Medical University), Fellow of the Wolfson Research Institute for Health and Wellbeing, and Co-Editor of the Routledge Complexity in Social Science series. I am also a member of the editorial board for International Journal of Social Research Methodology and Complexity, Governance and Networks. Trained as a sociologist, clinical psychologist and methodologist (statistics and computational social science), I have spent the past ten years developing a new case-based, data-mining approach to modeling complex social systems - called the SACS Toolkit - which my colleagues and I have used to help researchers, policy makers and service providers address and improve complex public health issues such as community health and well-being; infrastructure and grid reliability; mental health and inequality; big data and data mining; and globalization and global civil society. We have also recently developed the COMPLEX-IT R-studio software app, which allows everyday users seamless access to such high-powered techniques as machine intelligence, neural nets, and agent-based modeling to make better sense of the complex world(s) in which they live and work.
Bibliographische Angaben
- Autoren: Brian C. Castellani , Rajeev Rajaram
- 2022, First Edition, 180 Seiten, Englisch
- Verlag: SAGE Publications
- ISBN-10: 1529710995
- ISBN-13: 9781529710991
- Erscheinungsdatum: 01.03.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 5.50 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Big Data Mining and Complexity / The SAGE Quantitative Research Kit"
0 Gebrauchte Artikel zu „Big Data Mining and Complexity / The SAGE Quantitative Research Kit“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Big Data Mining and Complexity / The SAGE Quantitative Research Kit".
Kommentar verfassen