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castellani b big data mining complexity 2022

Type:: E-books
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Textbook in PDF format 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. List of Figures. About the Authors. Introduction. The Failure of Quantitative Social Science. What Is Big Data ? What Is Data Mining ? The Complexity Turn. Case-Based Complexity: A Data Mining Vocabulary. Classification and Clustering. Machine Learning. Predictive Analytics and Data Forecasting. Longitudinal Analysis. Geospatial Modelling. Complex Network Analysis. Textual and Visual Data Mining. Conclusion: Advancing a Complex Digital Social Science. Glossary. References. Index

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castellani b big data mining complexity 2022