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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** | ||