'text mining' Category
POTW 6/24/07: “Support-Vector Networks” by Cortes and Vapnik
Long paper this week, but it is the original on Support Vector Machines: Support-Vector Networks by Cortes and Vapnik. Given my schedule, I may spread this out over two weeks.
Popularity: 21% [?]Popularity: 21% [?]
POTW 5/21/07: Discussion of “A Study on Retrospective and On-Line Event Detection” by Yang, Pierce and Carbonell
Yang’s paper on on-line event detection (”A Study on Retrospective and On-Line Event Detection“) discusses the use of common text retrieval techniques to automatically detect events in news streams.
Imagine that you are responsible for monitoring all the major news feeds in every single country your company does business in order to advise the CEO on [...]Popularity: 12% [?]
POTW 5/14/07: Discussion of “Discovering Trends in Text Databases” by Lent et. al.
This week’s paper, “Discovering Trends in Text Databases” by Lent is my first look at some text mining tools and applications. The paper discusses a method for identifying trends in databases. In this case, a trend is defined as “a specific subsequence of the history of a phrase that satisfies the users’ query [...]
Popularity: 6% [?]
POTW 5/14/07: “Discovering Trends in Text Databases” by Lent et. al.
Ah, good to be back! This week’s paper is “Discovering Trends in Text Databases” by Brian Lent, Rakesh Agrawal and Ramakrishnan Srikant.
Popularity: 4% [?]Popularity: 4% [?]
