IMPORTANT: Useful (moderated) mailing lists

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Posted by William Hsu (Director) on March 05, 2000 at 14:23:54:

KDD Group members,

I suggest that you subscribe to the following very useful mailing lists if you have not already done so:

1. [DM] Data Mining mailing list
A medium-volume, non-digested, manually spam-filtered, and tagged mailing list devoted to KDD research and applications. The list is run by a KDD company called Nautilus Systems, and many companies subscribe to it. Some very important KDDM announcements (journal special issues and calls for papers; conferences, workshops, and calls for papers and proposals; software releases; new books and papers; and job opportunities) are posted here, along with occasional discussions.
URL: http://www.nautilus-systems.com/form1.html (subscription page)

2. [UAI] Uncertainty in Artificial Intelligence mailing list (moderated)
A low- to medium-volume, non-digested, manually spam-filtered, and tagged mailing list devoted to applied probability research. The list is run by Professor Bruce D'Ambrosio at Oregon State University, and many academic researchers and some companies subscribe to it. Some very important announcements (journal special issues and calls for papers; conferences, workshops, and calls for papers and proposals; software releases; new books and papers; and job opportunities) are posted here. The UAI mailing list is also noteworthy because of its intermittent discussion, critique, and debate threads concerning AI, Bayesian and non-probabilistic approaches to uncertain reasoning, and cutting-edge Bayesian networks research.
URL: http://www.CS.ORST.EDU/~dambrosi/bayesian/front.html (info page)

3. [MLC++] Machine Learning Library in C++ mailing list (unmoderated, but specialized)
An extremely low-volume (read: mostly dead?), non-digested, specialist mailing list devoted to MLC++, the academic research version of the SGI KDD product MineSet. The list is run by Andy Kar, Ronny Kohavi's successor as head of the data mining group at SGI. Traffic is very low, but to the best of my knowledge, past MLC++ developers and current users still subscribe to it.
URL: http://www.sgi.com/Technology/mlc/ (IIRC, there are several lists)

-WHH

K-State KDD Lab Related Research Links: Mailing Lists

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Re: IMPORTANT: Useful (moderated) mailing lists Otto Cordero 15:26:40 11/01/2000 (0)

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: KDD Group members, : I suggest that you subscribe to the following very useful mailing lists if you have not already done so: : 1. [DM] Data Mining mailing list : A medium-volume, non-digested, manually spam-filtered, and tagged mailing list devoted to KDD research and applications. The list is run by a KDD company called Nautilus Systems, and many companies subscribe to it. Some very important KDDM announcements (journal special issues and calls for papers; conferences, workshops, and calls for papers and proposals; software releases; new books and papers; and job opportunities) are posted here, along with occasional discussions. : URL: http://www.nautilus-systems.com/form1.html (subscription page) : 2. [UAI] Uncertainty in Artificial Intelligence mailing list (moderated) : A low- to medium-volume, non-digested, manually spam-filtered, and tagged mailing list devoted to applied probability research. The list is run by Professor Bruce D'Ambrosio at Oregon State University, and many academic researchers and some companies subscribe to it. Some very important announcements (journal special issues and calls for papers; conferences, workshops, and calls for papers and proposals; software releases; new books and papers; and job opportunities) are posted here. The UAI mailing list is also noteworthy because of its intermittent discussion, critique, and debate threads concerning AI, Bayesian and non-probabilistic approaches to uncertain reasoning, and cutting-edge Bayesian networks research. : URL: http://www.CS.ORST.EDU/~dambrosi/bayesian/front.html (info page) : 3. [MLC++] Machine Learning Library in C++ mailing list (unmoderated, but specialized) : An extremely low-volume (read: mostly dead?), non-digested, specialist mailing list devoted to MLC++, the academic research version of the SGI KDD product MineSet. The list is run by Andy Kar, Ronny Kohavi's successor as head of the data mining group at SGI. Traffic is very low, but to the best of my knowledge, past MLC++ developers and current users still subscribe to it. : URL: http://www.sgi.com/Technology/mlc/ (IIRC, there are several lists) : -WHH

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