<p><span>Data archives provide rich and expansive sources of information for researchers. Part of the SAGE Qualitative Research Kit, this book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your re
Big Data Mining and Complexity (The SAGE Quantitative Research Kit)
β Scribed by Brian C. Castellani, Rajeev Rajaram
- Publisher
- SAGE Publications Ltd
- Year
- 2022
- Tongue
- English
- Leaves
- 232
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book offers a much needed critical introduction to data mining and βbig dataβ. 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 βbig dataβ from a complexity science perspective, including its future potential and limitations
- A practical exploration of the challenges of putting together and managing a βbig dataβ 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 techniquesΒ Β
π SIMILAR VOLUMES
<p><span>This concise text provides a clear and digestible introduction to completing quantitative research. Taking you step-by-step through the process of completing your quantitative research project, it offers guidance on: </span></p><p><span>Β·Β Β Β Β Β Β Formulating your research question </span></p>
<span>This book offers a much needed critical introduction to data mining and βbig dataβ. Supported by multiple case studies and examples, the authors provide: <br> </span><ul><li><span><span>Digestible overviews of key terms and concepts relevant to using social media data in quantitative research.
<p><span>Part of The SAGE Quantitative Research Kit, This book is an ideal companion for those looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on:<br> <br> </span></p><ul><li><span><s
<p><span>An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks down the complex topic of inferential statistics with accessible language and detailed examples. It covers a range of topics, including:</span></p><p><span>Β·Β Β
<p>This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical secti