Discovering Knowledge in Data: An Introduction to Data Mining
Discovering Knowledge in Data: An Introduction to Data Mining
Exploratory spatio-temporal data mining and visualization
Journal of Visual Languages and Computing
Conversational Informatics: An Engineering Approach (Wiley Series in Agent Technology)
Conversational Informatics: An Engineering Approach (Wiley Series in Agent Technology)
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
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Multimodal research in human interaction has to consider a variety of factors, ranging from local short-time phenomena to complex interaction patterns. As of today, no single discipline engaged in communication research offers the methods and tools to investigate the full complexity continuum in a time-efficient way. A synthesis of qualitative and quantitative analysis is required to merge insights about micro-sequential structures with big data patterns. Using the example of a co-present dyadic negotiation analysis to combine methods offered by Conversation Analysis and Data Mining, we show how such a partnership can benefit each discipline and lead to insights as well as new hypotheses evaluation opportunities.