發信人: GzLi (笑梨), 信區: DataMining
標  題: Re: who have this paper?
發信站: 南京大學小百合站 (Tue Dec  3 17:23:29 2002), 站內信件


大家不妨參觀一下Kohavi的主頁， 他在特征選擇方面的一篇文章引用率在nec那個網站
上名列前茅，后來他又參與寫了mlc＋＋，后來去了sgi公司從事數據挖掘軟件的開發。
很有成就
http://robotics.stanford.edu/users/ronnyk/ronnyk-bib.html
http://robotics.stanford.edu/users/ronnyk/
Ronny Kohavi is the Vice President of Business Intelligence at Blue Martini S
oftware, reporting to the CEO.  He was previously the senior director of data
 mining, and headed the engineering group responsible for the data collection
, analysis, 
visualization, reporting, and campaign management  modules in Blue Martini's 
applications.  Prior to joining Blue Martini, Kohavi managed the MineSet proj
ect, Silicon Graphics' award-winning product for data mining and visualizatio
n.  He joined Silicon 
Graphics after getting a Ph.D. in Machine Learning from Stanford University, 
where he led the MLC++ project, the Machine Learning library in C++ now used 
in MineSet and at Blue Martini Software.  Kohavi received his BA from the Tec
hnion, Israel.  He 
co-chaired KDD 99's industrial track with Jim Gray and the KDD Cup 2000 with 
Carla Brodley.  He was an invited speaker at the National Academy of Engineer
ing in 2000, a keynote speaker at PAKDD 2001,  and an invited speaker at KDD 
2001's industrial 
track.  He co-chaired WEBKDD 2000 and WEBKDD 2001 and co-taught with Jon Bech
er a tutorial on e-commerce and clickstream mining at the SIAM Data Mining co
nference in 2001.  He co-edited with Foster Provost the special issue of the 
journal Machine 
Learning on Applications of Machine Learning and the special issue of the Dat
a Mining and Knowledge Discovery journal on Applications of Data Mining to El
ectronic Commerce, now available as a book.  He is a member of the editorial 
board for the Data 
Mining and Knowledge Discovery journal from its inception and served as a mem
ber of the editorial board for the journal of Machine Learning from 1997 to 1
999. 

 【 在 helloboy (hello) 的大作中提到: 】 : 【 在 minerboy (miner) 的大作中提到
: 】 : : [15] 
Zijian Zheng, Ron Kohavi and Llew Mason. Real World :                      ~~
~~~~~~~~ I have read his famous article :                   "Mining E-Commerc
e Data: The good,the bad and the Ugly" :                         good article
....
: : Performance of Association Rule Algorithms. In Proc. 2001 Int.
: : Conf. on Knowledge Discovery in Databases (KDD'01), San
: : Francisco, California, Aug. 2001.


--
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數據挖掘  http://DataMining@bbs.nju.edu.cn/

※ 修改:．GzLi 于 Dec  3 17:26:58 修改本文．[FROM: 211.80.38.17]
※ 來源:．南京大學小百合站 bbs.nju.edu.cn．[FROM: 211.80.38.17]