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## An Efficient Algorithm for Mining Frequent PatternsPosted by: sivakesava574 Created at: Friday 20th of January 2012 01:22:33 AM Last Edited Or Replied at :Friday 20th of January 2012 01:22:33 AM | An Efficient Algorithm for Mining Frequent Patterns ,
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## An Efficient Algorithm for Mining Frequent Patterns full reportPosted by: project topics Created at: Monday 05th of April 2010 09:50:32 AM Last Edited Or Replied at :Friday 16th of December 2011 10:14:15 PM | mining frequent spatio temporal sequential patterns ,
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has been dealt with the tools used for structure system analysis are, Â¢ Data Flow Diagram 3.1 ENVIRONMENTAL MODEL The Environmental model defines the interfaces between the system and the environment. Building an environmental model is the first and the most important part of building complete model of user requirements. The critical aspect of environmental model is to identify the events occurring in the environment to which the system must respond. It also defines the boundary between the system and the environment. 3.2 BEHAVIOURAL MODEL: A system flow diagram is a pictorial rep.................. [:=> Show Contents <=:] | |||

## An Efficient Algorithm for Mining Frequent Patterns full reportPosted by: project topics Created at: Monday 05th of April 2010 09:50:32 AM Last Edited Or Replied at :Friday 16th of December 2011 10:14:15 PM | mining frequent spatio temporal sequential patterns ,
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Floppy Disk Drive : 1.44MB CD-ROM Drive : LG 52X Reader Keyboard : 104 Keys Mouse : Logitech Monitor : Samsung 17 Color SOFTWARE CONFIGURATION Operating System : Windows XP Front end : Java Back end : SQL server Feasibility Study: We develop the final graphical interactive user interface implementation using Java technology with applets. The similarity between the algorithms and the final applications is the implementation of algorithm logic. The source code of project was highly reusable for the final graphical application. The major difference between the two algo.................. [:=> Show Contents <=:] | |||

## MiningFrequentPatternsfromLargeDatabasesUsingCountdistributionalgorithmPosted by: mechanical engineering crazy Created at: Thursday 27th of August 2009 04:00:33 PM Last Edited Or Replied at :Thursday 27th of August 2009 04:00:33 PM | mining brawlers,
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s generate the entire candidate hash tree from item set. Each processor can thus independently get
partial supports of the candidates from its local database partition. Next, the algorithm does a
sum reduction to obtain the global counts by exchanging local counts with all other processors.
Partition algorithm, which logically divides the horizontal database into non overlapping
partitions. Each partition is read, and vertical transaction lists (lists of all transactions where
the item appears) are formed for each item. Partition then generates all locally frequent item sets
through transac..................[:=> Show Contents <=:] | |||

## An efficient algorithm for iris pattern recognition using 2 download seminar reportPosted by: Computer Science Clay Created at: Thursday 30th of July 2009 07:03:40 AM Last Edited Or Replied at :Thursday 30th of July 2009 07:03:40 AM | iris pattern recognition 2006,
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s image for pattern recognition proves to achieve increased accuracy and processing speed compared
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## An Efficient Algorithm for iris patternPosted by: computer science crazy Created at: Tuesday 07th of April 2009 01:22:31 PM Last Edited Or Replied at :Tuesday 03rd of August 2010 01:10:29 AM | iris pattern dishcloth ,
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protected internal organ of the eye. Iris patterns possess a high degree of randomness. Variability: 244 degrees of freedom. Entropy: 3.2 bits per square millimetre. Uniqueness: set by combinatorial complexity. Patterns apparently stable throughout life. IRIS - An introduction: The iris is a colored ring that surrounds the pupil and contains easily visible yet complex and distinct combinations of corona, pits, filaments, crypts, striations, radial furrows and more. The iris is called the Living password because of its unique, random features. It's always with you and .................. [:=> Show Contents <=:] | |||

## An Efficient Algorithm for iris pattern Recognition using 2D Gabor WaveletPosted by: Computer Science Clay Created at: Sunday 01st of March 2009 02:24:03 AM Last Edited Or Replied at :Sunday 01st of March 2009 02:24:03 AM | Wavelet,
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thing. The inherent association of a human with the visual senses, predisposes one to conceive an
image as a stimulus on the retina of the eye, in which case the mechanism of optics govern the image
formation resulting in continuos range, multi-tone images. A digital image can be defined to be a numerical representation of an object or more strictly to be sampled, quantized function of two dimensions which has been generated by optical means, sampled in an equally spaced rectangular grid pattern, and quantized in equal intervals of graylevel. The word is crying out for the simpler acces.................. [:=> Show Contents <=:] | |||

## An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet TransPosted by: computer science crazy Created at: Sunday 21st of September 2008 01:06:40 AM Last Edited Or Replied at :Saturday 09th of March 2013 05:46:32 AM | Trans,
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always with you and can't be stolen or faked. As such it makes an excellent biometrics identifier...................[:=> Show Contents <=:] |

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