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An Efficient Algorithm for Mining Frequent Patterns


Posted 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
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An Efficient Algorithm for Mining Frequent Patterns..................[:=> Show Contents <=:]



An Efficient Algorithm for Mining Frequent Patterns full report


Posted 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
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tiate the two algorithms.
System Analysis:
Packages Selected:

Front End: Net Beans-IDE 6.7, JDK 1.6
Back End: MS SQl.
HARDWARE CONFIGURATION:
System : HCL
Processor : Pentium IV
Processor Speed : 2.80GHz
Main Storage : 512MB RAM
Hard Disk Capacity : 80GB
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 inte..................[:=> Show Contents <=:]



An Efficient Algorithm for Mining Frequent Patterns full report


Posted 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 , mining frequent itemsets from uncertain data, mining frequent itemsets , mining frequent patterns associations and correlations, mining frequent patterns without candidate generation , An Efficient Algorithm for Mining Frequent Patterns pdf, An Efficient Algorithm for Mining Frequent Patterns ppt , An Efficient Algorithm for Mining Frequent Patterns, report , full, Patterns , Frequent, Mining , algorithm for data mining, Algorithm , Efficient, aprori algorthim under association rule full report , apriori algorithm gui applet frame implementation in java code, dynamic itemset counting algorithm ppt , discuss the efficiency of frequent growth algorithm, comparison between apriori and dic , java code for finding frequent items and building association rules, efficient tree based distributed data mining algorithms for mining frequent patterns pdf , ppt fp growth drawbacks, candidate key generation algorithm ppt , an efficient implementation of the fp growth algorithm using graphics processing units, apriori algorithm in data mining doc , an efficient algorithm for mining frequent patterns,
e. These values are used to find out the frequent items.
Steps in transaction:
1. First set the number of total items in the list.
2. Make the transaction and select the items from list.
3. Save the transaction.
4. Complete the transaction.
3 Apriori Implementation:
This modules generates the frequent patterns based on apriori
algorithm. Execution time of the algorithm this algorithm is noted for the future comparison purpose.
Developed by Agrawal and Srikant 1994 Innovative way to find association rules on large scale, allowing implication outcomes that consist of more than one it..................[:=> Show Contents <=:]



MiningFrequentPatternsfromLargeDatabasesUsingCountdistributionalgorithm


Posted 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
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nal data bases, the system if required calculates the frequent items from the transactions that are based upon time “ intervals...................[:=> Show Contents <=:]



An efficient algorithm for iris pattern recognition using 2 download seminar report


Posted 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
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transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pattern recognition proves to achieve increased accuracy and processing speed compared to other methods. With a strong scientific approach and mathematical background we have developed an algorithm to facilitate the implementation of this method under the platforms of MATLAB.

http://www.seminarprojects.net/downloads/?file=/computer%20science%20and%20electronics/AN-EFFICIENT- ALGORITHM-FOR-IRIS-PATTERN-RECOGNITION-U.pdf&name=AN-EFFICIENT-ALGORITHM-FOR-IRIS-PATTERN-RECOGNITIO N-U.pd..................[:=> Show Contents <=:]



An Efficient Algorithm for iris pattern


Posted 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
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controls to personal authentication systems and it looks like biometrics may be the answer. Instead of carrying bunch of keys, all those access cards or passwords you carry around with you, your body can be used to uniquely identify you. Furthermore, when biometrics measures are applied in combination with other controls, such as access cards or passwords, the reliability of authentication controls takes a giant step forward.

BIOMETRICS-AN OVERVIEW:

Biometrics is best defined as measurable physiological and/or behavioral characteristics that can be utilized to verify the identity of an i..................[:=> Show Contents <=:]



An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet


Posted 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
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se of its unique, random features. It's always with you and can't be stolen or faked. As such it makes an excellent biometrics identifier...................[:=> Show Contents <=:]



An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet Trans


Posted 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
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r passwords, the reliability of authentication controls takes a giant step forward.

BIOMETRICS-AN OVERVIEW:
Biometrics is best defined as measurable physiological and/or behavioral characteristics that can be utilized to verify the identity of an indivisual. They include the following:
Iris scanning
Facial recognition
Fingerprint verification
Hand geometry
Retinal scanning
Signature verification
Voice verification

ADVANTAGES OF THE IRIS IDENTIFICATION:
Highly protected internal organ of the eye.
Iris patterns possess a high degree of randomness.
Variabilit..................[:=> Show Contents <=:]



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