Last Updated Comments: 22 July 2013 Papageno: A Pilot Study to identify suitable Predictive Models for Crisis Intelligence I need some help to jot down real-world use cases for crisis intelligence. Could you please point out to me past events…
Tag: big data
Presentation: Text analytics and R – Open Question: is it a good match?
* The Quest: finding the optimal way to handle Big Textual Data for Information Discovery & Actionable Intelligence * The Open Question: is R convenient for text analytics of Big TEXTUAL Data? * The Mission: identification of pros, cons, limits,…
Presentation: How Emotional Are Users’ Needs? Emotion in Query Logs
According to recent IR research, searchers’ behaviour is not only limited to traditional informational, navigational and transactional needs. A novel hypothesis is that the seeking behaviour is driven by emotion. These experiments are part of SearchInFocus, a study centred on…
Meetup Report: Big Data & Predictive Modeling – What’s happening in Sthlm?
On Thursday, September 6, 2012 the first meetup on BIG DATA & PREDICTIVE MODELING- WHAT’S HAPPENING IN STHLM? was held at the Klarna Headquarters in Stockholm. The event was very successful and (according to the organizer) unexpectedly crowded (about 90…
Reblogging: Gavagai! Gavagai!
Source: Follow the Data Blog — Follow the Data podcast, episode 1: Gavagai! Gavagai! by Mikael Huss Podcast link: Follow The Data | Episode 1 – Gavagai! Gavagai! This first episode, as has been mentioned before on this blog, is about a…
Summary: Where is the future? From big data to contextualized information
Comments to the post: The Path Forward: From Big Unstructured Data to Contextualized Information (www.forum.santini.se/2012/03/the-path-forward-from-big-unstructured-data-to-contextualized-information/) Discussion on LinkedIn: American Society for Information Science & Technology (http://lnkd.in/EdqJDb) Tom Reamy • Hi Marina, good blog – and as someone dealing with the idea of…
The Path Forward: From Big Unstructured Data to Contextualized Information
How can we convert massive quantities of unstructured data to structured information? What kind of “structure” do we need for a reliable interpretation of this undomesticated data? I suggest thinking of a text-analytic framework based on “context”. Search keywords, events,…
Reblogging: Big Data Week
A good week for (big) data (science) Source: Follow the data – A Data Driven Blog, Posted by Mikael Huss, 10 March 2012 A good week for (big) data (science) Perhaps as a subconscious compensation for my failure to attend Strata 2012 last week…