Recently, during a holiday lull, I decided to look at another way of modeling event stream data (for the purposes of anomaly detection). I’ve dabbled with (simplistic) event stream models before but this time I decided to take a deeper look at Twitter’s anomaly detection algorithm [1], which in turn is based (more or less) […]
#statistics
3 posts
2 Jan 2018
14 Jul 2014
Imagine you want to collect detailed usage statistics to tune your Oracle database, e.g. if you want to have A-Rows and A-Time values in your execution plans (by default, Oracle only reports E-Rows and E-Time with “E” for “Estimated”. But usually, you will care more about the “A” for “Actual”). All you have to do … Continue reading Logon Triggers:…
31 Dec 2012
The WordPress.com stats helper monkeys prepared a 2012 annual report for this blog. Here’s an excerpt: About 55,000 tourists visit Liechtenstein every year. This blog was viewed about 170,000 times in 2012. If it were Liechtenstein, it would take about … Continue reading →