I just a want-to-be where it comes to clustering, but I seem to remember something about "Data steams mining streams" and "concept drift"
Found this at the Wikipedia: Software for data stream mining RapidMiner: free open-source software for knowledge discovery, data mining, and machine learning also featuring data stream mining, learning time-varying concepts, and tracking drifting concept (if used in combination with its data stream mining plugin (formerly: concept drift plugin)) Source: http://en.wikipedia.org/wiki/Data_stream_mining > -----Original Message----- > From: Classification, clustering, and phylogeny estimation > [mailto:[email protected]] On Behalf Of Shannon, William > Sent: Monday, January 26, 2009 10:45 AM > To: [email protected] > Subject: time series clustering > > I have a new project that is intriguing and offers data I have never > tried to cluster. > > The question is whether there are hiv/aids patients treated > differently according to their medicaid procedure codes (what was done > to them). Procedures occur over time so changing the clustering over > time would seem reasonable. Hopefully we will see clusters of patients > form based on medical interventions given, and stabilize as we move > forward. > > I have never done anything like this and wanted to know if anyone > could point me in the right direction towards previously done work > along this line. > > Thank you > > Bill Shannon, PhD > Associate Prof. of Biostatistics in Medicine Washington University > School of Medicine Director, Biostatistical Consulting Center > 314-454-8356 > > ---------------------------------------------- > CLASS-L list. > Instructions: http://www.classification- > society.org/csna/lists.html#class-l ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l
