@inproceedings{citeulike:957631,
	title = {A probabilistic approach to spatiotemporal theme pattern mining on weblogs},
	address = {New York, NY, USA},
	author = {Qiaozhu Mei and Chao Liu and Hang Su and Chengxiang Zhai},
	booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web},
	pages = {533--542},
	publisher = {ACM Press},
	url = {http://portal.acm.org/citation.cfm?id=1135777.1135857},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/271e38f8d7e2da7287997e11d4c6f6eac/dzibold},
	description = {* Very mathematical  paper
* Mathematical definitions of theme, topic 
* Pseudo code for algorithms
* Algorithms for extraction of time stamps, location labels etc.

* explores the develoment of topics in blogs according to (a) time and (b) geographic origin
* topic detection based on keywords
* probabilistic model: term occurrence depends on topic, topic and terms depend on time and location of the blog
* -> EM approach

Additional description:
http://wiki.esi.ac.uk/Current_Approaches_to_Data_Mining_Blogs#A_Probabilistic_Approach_to_Spatiotemporal_Theme_Pattern_Mining_on_Weblogs},
	posted-at = {2007-03-05 12:05:50}, citeulike-article-id = {957631}, priority = {0}, isbn = {1595933239}, comment = {* explores the develoment of topics in blogs according to (a) time and (b) geographic origin

* topic detection based on keywords

* probabilistic model: term occurrence depends on topic, topic and terms depend on time and location of the blog

* -> EM approach 

}, doi = {10.1145/1135777.1135857},
	keywords = {algorithms diffusion idiom keywords pattern_mining spatiotemporal }
}