I am a Data Scientist at Finnish Institute of Occupational Health.
My research interests include combinatorial and probabilistic methods for data mining, machine learning and crowdsourcing/human computation. I like algorithm design and theory, as well as applied data analysis and programming.
Prior to joining FIOH I had post-docs at Helsinki Institute for Information Technology HIIT and Yahoo! Research. I got my PhD from Helsinki University of Technology (these days known as Aalto University) in 2008.
Here you can find reference implementations of some algorithms I've worked on.
Spectra is an algorithm for quickly estimating the "pattern frequency spectrum" of a binary dataset. This is a curve that shows the number of frequent itemsets for a given support threshold.
Fast-Skyline is an algorithm for computing approximate “skylines” (non-dominated sets) of subsets of size-k subject to two functions, one linear, one submodular. That is, the algorithm computes the set of non-dominated subsets of size-k. This problem has applications in e.g. viral marketing.
Antti Ukkonen, Specialist Research Scientist
Finnish Institute of Occupational health
antti.ukkonen (at) ttl.fi (for work related matters)
antti.ukkonen (at) gmail.com (for other business)
My LinkedIn page