Langbeschreibung
This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide:
Inhaltsverzeichnis
Chapter 1: IntroductionPart 1: Thinking Complex and CriticallyChapter 2: The Failure of Quantitative Social ScienceChapter 3: What is Big Data?Chapter 4: What is Data MiningChapter 5: The Complexity TurnPart 2: The Tools and Techniques of Data MiningChapter 6: Case-Based Complexity: A Data Mining VocabularyChapter 7: Classification and ClusteringChapter 8: Machine LearningChapter 9: Predictive Analytics and Data ForecastingChapter 10: Longitudinal AnalysisChapter 11: Geospatial ModelingChapter 12: Complex Network AnalysisChapter 13: Textual and Visual Data MiningChapter 14: Conclusion: Advancing A Complex Digital Social Science