Stream Data Mining


Academic Year 2015/2016


Lecturer: Annalisa Appice


Lecture notes:


PART I (DATA STREAMS)
1.Introduction (June 16, 2016)
2.Data Synopsis (June 17, 2016)
3.Stream Data Mining
3.1.Classification and regression
3.2.Clustering
3.3.Frequent pattern discovery
PART II (SENSOR DATA)
4.Introduction
5.Trend cluster discovery
5.1.Summarization
5.2.Interpolation
5.3.Outlier detection and classification
6.Interpolative clustering
7.Spatial-aware forecasting

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