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Refresher Course on Data Mining Next generation challenges
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Refresher Course on Data Mining Next generation challenges
( June 23 – July 5, 2008)
Organized by
Department of Computer Science and Engineering
NATIONAL INSTITUTE OF TECHNOLOGY
WARANGAL – 506 004 (Andhra Pradesh)
Introduction :
The common model functions in current data mining practice include the following.
1) Classification: classifies a data item into one of several predefined categorical classes.
2) Regression: maps a data item to a real valued prediction variable.
3) Clustering: maps a data item into one of several clusters, where clusters are natural groupings of data items based on similarity metrics or probability density models.
4) Rule generation: extracts classification rules from the data.
5) Discovering association rules: describes association relationship among different attributes.
6) Summarization: provides a compact description for a subset of data.
7) Dependency modeling: describes significant dependencies among variables.
8) Sequence analysis: models sequential patterns, like time-series analysis.
The goal is to model the states of the process generating the sequence or to extract and report deviation and trends over time.
In this programme, current research issues in KDD will be discussed so that the participants can work upon them after the course.
Important dates:
Last date of submission of application : 18.06.2008
Selection list display or intimation : 19.06.2008
Intimation of your acceptance: 21.06.2008
Programme : 23.06.2008 to 05.07.2008
Address for correspondence :
Prof. Dr. D V L N SOMAYAJULU
Coordinator for ATP on DATA MINING and Head,
Department of Computer Science & Engg.,
National Institute of Technology,
WARANGAL - 506 004, Andhra Pradesh
Mobile: 0 9490 165 347, 0 9441 434 454
Phones: 0870 – 246 2700, 246 2769
Fax: 0870 – 245 9547
e-mail: somadvlns@yahoo.com and also a copy to rbvs66@yahoo.com
For more details, visit http://www.nitw.ac.in/
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Responses
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| Author: Vidya 16 May 2008 | Member Level: Diamond Points : 2 | Good information
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