Exploring Data Mining Lecture 3 Spring 2017
Let's dive into the details surrounding Data Mining Lecture 3 Spring 2017.
- My Event Description.
- Anomaly section: Log-likelihood ratios, scanning for change points, permutation testing. (forgot to screen share, sorry)
- Chernoff-Hoeffding Bound.
- Jaccard Distance and K-Grams.
- My Event Description.
In-Depth Information on Data Mining Lecture 3 Spring 2017
K-grams, Jaccard Distrance. My Event Description. full version of My Event Description.
Data Mining
That wraps up our extensive overview of Data Mining Lecture 3 Spring 2017.
