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来自「This complete matlab for neural network」· 文本 代码 · 共 35 行

发信人: roamingo (漫步鸥), 信区: DataMining
标  题: Re: 下一步该看些什么
发信站: 南京大学小百合站 (Sun Dec 23 19:18:44 2001), 站内信件

【 在 iamgufeng (古风) 的大作中提到: 】
: Perhaps we need integrate mining thinking into site design. we write some c..
: generating enough log info what we needed when events occuring, in conjunctio
: n with original
: server log, valuable data may be extracted really to consecutive mining.
: but how these effect on performance?

I agree, and that's the exact way (that I think) used by Blue Martini 
(by Ronny Kohavi)'s jsp based E-Commerce + CRM based solutions.  
(www.bluemartini.com)

Regarding performance, as long as the information logged are carefully 
selected, the amount of information logged will be much less than the common
log data, and performance will probabaly not be a bottleneck.  

In addition, I'd like to suggest the following paper:

Juhnyoung Lee, Mark Podlaseck, Edith Schonberg, and Robert Hoch.  
Visualization and Analysis of Clickstream Data of Online Stores for
Understanding Web Merchandising. In: Applications of Data Mining to 
Electronic Commerce, Special issue of the International Journal of Data 
Mining and Knowledge Discovery, January 2001.
Guest editors: Ronny Kohavi and Foster Provost
URL: http://robotics.stanford.edu/~ronnyk/ecommerce-dm/ 

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※ 修改:．roamingo 於 Dec 23 19:27:17 修改本文．[FROM: 202.120.7.27]
※ 来源:．南京大学小百合站 bbs.nju.edu.cn．[FROM: 202.120.7.27]