Banff Meeting approved

/in /by

We just received the message from the Scientific Director of the BIRS – Banff International Research Station for Mathematical Discovery, that our 7th International Meeting of the expert group HCI-KDD “Advances in interactive Knowledge Discovery and Data Mining in complex and big data sets” (BIRS Approval Nr. 15w2181) has been approved by the scientific committee for the dates July 24 – July 26, 2015. So, the Holzinger Group has now the possibility of being at the holy grail of computational mathematics 🙂
https://www.birs.ca/

NB.: The area around Banff is the world’s most dense area of paleontological findings.
Banff is 78 miles west of Calgary at a hight of approx. 5000 ft. with subarctic climate,
temperatures during our meeting end of July are the highest of the year, in average 21 degrees Celsius.
Morning temperatures can go as low as 7 degrees Celsius – so pullovers are recommended 🙂
Those who are afraid of bears should not attend this meeting, as the Research Center is directly located within deep forest and in the morning Grizzly bears are usually foraging the trash bins.

The papers will be collected in a Springer Volume Lecture Notes in Artificial Intelligence (LNAI),
which is a more mathematical oriented topical subseries of the Lecture Notes in Computer Science (LNCS):
https://www.springer.com/series/1244

hci4all.at is now human-centered.ai

/in /by

Our website appears in a new light!

We welcome our visitors to our new human-centered.ai website. In order to keep pace with time, our website is now responsive with a fresh design.

HCI4ALL is now HCI-KDD

Our digital world, full of mobile computing devices and ubiquitous sensor networks produce increasingly large, complex, high-dimensional and weakly structured data sets, and increasing volumes of unstructured information. These enormous amounts of data require novel, efficient and interactive solutions for knowledge discovery/data mining.  A synergistic combination of methodologies and approaches of two areas offer ideal conditions towards unraveling such problems: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning, putting the “human-in-the-loop “. Our goal is to interactively discover new, previously unknown insights into the data and we are passionate on extending advanced methods including time (e.g. information entropy) and space (e.g. computational topology), along with user-centered software engineering methods to create interactive software for mobile applications & content analytics techniques.

Science is to test crazy ideas – Engineering is to put these ideas into Business!