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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 F..................[:=> 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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cessor : 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 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 ..................[:=> 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,
od as native C or C++. Java, however, was designed to perform well on very low-power CPUs.
¢ Java is multithreaded.
Java provides support for multiple threads of execution that can handle different tasks with a Thread class in the java.lang Package. The thread class supports methods to start a thread, run a thread, stop a thread, and check on the status of a thread. This makes programming in Java with threads much easier than programming in the conventional single-threaded C and C++ style.
¢ Java is dynamic.
Java language was designed to adapt to an evolving environment. It is a m..................[:=> 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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nd-user. Selecting the target data set on which discovery is to be performed, and cleaning and transforming this data if necessary. Choosing the data-mining task, the algorithm, and deciding which models and parameters may be appropriate. Before using the algorithm we first preprocess the data. We implemented Count Distribution Algorithm for finding frequent patterns from transactional databases. We implemented Partition Algorithm to partition the database. The Count Distribution Algorithm is a simple parallelization of Apriori. All processors generate the entire candidate hash tree fro..................[:=> 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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tention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet 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 imp..................[:=> 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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isual. They include the following:
Iris scanning
Facial recognition
Fingerprint verification
Hand geometry
Retinal scanning
Signature verification
Voice verification

Advantages of IRIS Identification

Highly 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 conta..................[:=> 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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ng 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 indivisual. They include the following:
Iris scanning
Facial recognition
Fingerprint verification
Ha..................[:=> 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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ation 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 access 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 cont..................[:=> Show Contents <=:]



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