The Interactive Data Exploration and Analytics (IDEA) workshop addresses the development of data mining techniques that allow users to interactively explore their data. We focus and emphasize on interactivity and effective integration of techniques from data mining, visualization and human-computer interaction (HCI). In other words, we explore how the best of these different but related domains can be combined such that the sum is greater than the parts. The IDEAs at KDD in Chicago 2013, in New York City 2014, in Sydney 2015, and in San Francisco 2016 were all a great success.
Topics of interests for the workshop include, but are not limited to:
Interactive data mining algorithms
Visualizations for interactive data mining
Demonstrations of interactive data mining
Quick, high-level data analysis methods
Any-time data mining algorithms
Visual analytics
Methods that allow meaningful intermediate results
Data surrogates
On-line algorithms
Adaptive stream mining algorithms
Theoretical/complexity analysis of instant data mining
Learning from user input for action replication/prediction
Active learning / mining
08月14日
2017
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