Stream Data Mining


Academic Year 2014/2015


Lecturer: Annalisa Appice


Calendar


June 05, 2015, 10:00-12:00 Goedel Room
June 09, 2015, 10:00-13:00 Room B, Floor 0
June 12, 2015, 10:00-13:00 Room B, Floor 0
June 16, 2015, 10:00-13:00 Room B, Floor 0
June 19, 2015, 10:00-13:00 Room B, Floor 0
June 30, 2015, 10:00-13:00 Room B, Floor 0
July 03, 2015, 10:00-13:00 Room B, Floor 0

Lecture notes:


PART I (DATA STREAMS)
1.Introduction
2.Data Synopsis
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
EVALUATION
Sensor data analysis

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