'Discriminative patterns' diaporamas de présentation

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From Feature Construction, to Simple but Effective Modeling, to Domain Transfer

From Feature Construction, to Simple but Effective Modeling, to Domain Transfer

From Feature Construction, to Simple but Effective Modeling, to Domain Transfer. Wei Fan IBM T.J.Watson www.cs.columbia.edu/~wfan www.weifan.info weifan@us.ibm.com , wei.fan@gmail.com. Feature Vector. Most data mining and machine learning model assume the following structured data:

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927 views • 83 slides
From Feature Construction, to Simple but Effective Modeling, to Domain Transfer

From Feature Construction, to Simple but Effective Modeling, to Domain Transfer

From Feature Construction, to Simple but Effective Modeling, to Domain Transfer. Wei Fan IBM T.J.Watson www.cs.columbia.edu/~wfan www.weifan.info weifan@us.ibm.com , wei.fan@gmail.com. Feature Vector. Most data mining and machine learning model assume the following structured data:

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946 views • 83 slides
Direct Mining of Discriminative and Essential Frequent Patterns via Model-based Search Tree

Direct Mining of Discriminative and Essential Frequent Patterns via Model-based Search Tree

Direct Mining of Discriminative and Essential Frequent Patterns via Model-based Search Tree. How to find good features from semi-structured raw data for classification. Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure. Feature Construction.

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336 views • 24 slides
Direct Mining of Discriminative and Essential Frequent Patterns via Model-based Search Tree

Direct Mining of Discriminative and Essential Frequent Patterns via Model-based Search Tree

Direct Mining of Discriminative and Essential Frequent Patterns via Model-based Search Tree. How to find good features from semi-structured raw data for classification. Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure. Feature Construction.

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336 views • 24 slides
Discriminative Pattern Mining

Discriminative Pattern Mining

Discriminative Pattern Mining. By Mohammad Hossain. Based on the paper. Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data by 1. Gang Fang 2. Gaurav Pandey 3. Wen Wang 4. Manish Gupta 4.Michael Steinbach 5.Vipin Kumar.

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188 views • 17 slides
Data not in the pre-defined feature vectors that can be used to construct predictive models.

Data not in the pre-defined feature vectors that can be used to construct predictive models.

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206 views • 1 slides

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