On the Helmholtz Principle for Data Mining

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10-08-2010

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On the Helmholtz Principle for Data Mining

HPL-2010-133 On the Helmholtz Principle for Data Mining - Balinsky, Alexander; Balinsky, Helen; Simske, Steven
Keyword(s): extraction, feature extraction, unusual behavior detection, Helmholtz principle, mining textual and unstructured datasets
Abstract: We present novel algorithms for feature extraction and change detection in unstructured data, primarily in ...
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data::serializer::persistent

Data::Serializer::Persistent(3pm)			User Contributed Perl Documentation			 Data::Serializer::Persistent(3pm)

NAME

       Data::Serializer::Persistent - Provide means of persistently storing serialized data in a file

SYNOPSIS

	 use Data::Serializer::Persistent

DESCRIPTION

       Used internally to Data::Serializer(3), does not currently have any public methods

EXAMPLES

       Please see Data::Serializer::Cookbook(3)

METHODS

AUTHOR

       Neil Neely <neil@neely.cx>.

       http://neil-neely.blogspot.com/

BUGS

       Please report all bugs here:

       http://rt.cpan.org/Public/Dist/Display.html?Name=Data-Serializer

COPYRIGHT AND LICENSE

       Copyright (c) 2011 Neil Neely.  All rights reserved.

       This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself, either Perl version 5.8.2 or,
       at your option, any later version of Perl 5 you may have available.

       See http://www.perl.com/language/misc/Artistic.html

SEE ALSO

       perl(1), Data::Serializer(3), IO::File(3).

perl v5.12.4							    2011-08-16					 Data::Serializer::Persistent(3pm)

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