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📄 414.txt

📁 This complete matlab for neural network
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发信人: yaomc (白头翁&山东大汉), 信区: DataMining
标  题: [合集]偶有些想法,大家帮着看看?
发信站: 南京大学小百合站 (Wed Jan 16 08:59:17 2002), 站内信件

zc (民工——编号0133045) 于Tue Dec 18 16:50:55 2001)
提到:

偶在想,对于传统操作数据库可不可以进行连续的挖掘呢?

例如,对于不断更新的操作数据库每隔一段时间(例如一天

或者一星期)进行一次完整的挖掘,在此基础不断的上进行

增量挖掘。可以形成挖掘出的知识库,根据这些知识库联合

操作数据库,进行连续的决策支持,并对挖掘出的知识的正

确性进行评价,对已经实施的决策进行评估。并实施对决策

的修改。

且不论软硬件代价,这个思想是否可行呢?还是早有类似的

理论?

望有识者告知!

greenflower (小呆) 于Tue Dec 18 19:15:57 2001)
提到:

i have read some paper on 增量式更新数据挖掘,

i think u'd better find some to read...




zc (民工——编号0133045) 于Tue Dec 18 20:12:12 2001)
提到:

对的,

增量挖掘是一定会使用到的。

但是,普通的增量挖掘可以针对操作数据库么?



greenflower (小呆) 于Tue Dec 18 22:13:45 2001)
提到:

the aim that this method is presented is to resolve changeable database,

i think it should operate on database... 

in details, i think u may read some on it, then u can know well...




fervvac (高远) 于Wed Dec 19 14:18:23 2001提到:

There are quite some work on incremental data mining, for example, keeping
the negative boundary information in the last session. And I see no major
difficult to apply it to the operational database, am I right?

However, if the update is constrained, better algorithms might be found. But 
I guess this idea is easy to think of and must have been done by someone, :-)

BTW, do you mean "operational DB"?



zc (民工——编号0133045) 于Thu Dec 20 20:29:44 2001)
提到:

yeah,i mean "operational DB".

but when we talk about OLAP,we say it's hard to operate on operational DB.

why can we say DM on operational DB is OK?

and i think my idea is straightforward,but hard to archieve.

what i want to know is not incremental DM to get some certain knowledge,but kn
owledge base.

and  using the knowledge base to verify knowledge and decision-making.

if you have some papers about this topic,can you send it by mail?

my mail is bei.jia@nanjing-fnst.com.

whole paper or link are both OK. 

thank you for attention to my topic.




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