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UW's Data Mining Group Home Page

We developed a general framework for scaling up learning algorithms to massive data streams and data sets; applied it to develop 7 learning systems; and evaluated them in extensive empirical studies on real work and synthetic data sets. By mining social networks, we can identify key people with the most network influence. This information may be used for marketing, reducing the spread of disease, etc. Computing Resources (should be internal only). Here is some information about our Data Mining Cluster.

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UW CSE

Patrick Allen

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Se●●le , WA, 98195-2350

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pj●●●●●@cs.washington.edu

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UW's Data Mining Group Home Page | bibserv.org Reviews
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We developed a general framework for scaling up learning algorithms to massive data streams and data sets; applied it to develop 7 learning systems; and evaluated them in extensive empirical studies on real work and synthetic data sets. By mining social networks, we can identify key people with the most network influence. This information may be used for marketing, reducing the spread of disease, etc. Computing Resources (should be internal only). Here is some information about our Data Mining Cluster.
<META>
KEYWORDS
1 data mining group
2 university of washington
3 dept of cs&e
4 research areas
5 scaling up
6 social networks
7 we have available
8 people
9 faculty members
10 pedro domingos
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data mining group,university of washington,dept of cs&e,research areas,scaling up,social networks,we have available,people,faculty members,pedro domingos,current graduate students,dan grossman,geoff hulten,jayant madhavan,matt richardson,sumit sanghai
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UW's Data Mining Group Home Page | bibserv.org Reviews

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We developed a general framework for scaling up learning algorithms to massive data streams and data sets; applied it to develop 7 learning systems; and evaluated them in extensive empirical studies on real work and synthetic data sets. By mining social networks, we can identify key people with the most network influence. This information may be used for marketing, reducing the spread of disease, etc. Computing Resources (should be internal only). Here is some information about our Data Mining Cluster.

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