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+ | ====== INFOH419 Data Warehousing - Week 11 ====== | ||
+ | ===== Small Summary ===== | ||
+ | * Data mining | ||
+ | * high-level overview of clustering, classification, pattern mining | ||
+ | * common errors: causality vs correlation, multi-hypotheses testing | ||
+ | * Data stream processing | ||
+ | * epsilon-delta approximations | ||
+ | * maintaining a uniform sample | ||
+ | * counting the number of distinct elements | ||
+ | |||
+ | ===== Supporting material ===== | ||
+ | * [[https://dl.dropbox.com/u/5119252/DW/DW09-DataMining.pdf|Slides]] | ||
+ | ===== Exercises ===== | ||
+ | **No Exercises this week** |