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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 Freq..................[:=> 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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g step delete all items from the transactions that are not frequent individually, i.e., do not
appear in a user-specified minimum number of transactions. Then select all transactions that contain
the least frequent item (least frequent among those that are frequent) and delete this item from
them. Advantages of FP-Growth: Only 2 passes over data-set Compresses data-set No candidate generation Much faster than Apriori Conclusion: We have proposed the implementation of efficient algorithms to find frequent patterns. The Apriori algorithm scans the dataset repeatedly whereas the FP g.................. [:=> 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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ation, Web programming. Java has several important features: Â¢ A Java program runs exactly the same way on all computers. Most other languages allow small differences in interpretation of the standards. Â¢ It is not just the source that is portable. A Java program is a stream of bytes that can be run on any machine. An interpreter program is built into Web browsers, though it can run separately. Java programs can be distributed through the Web to any client computer. Â¢ Java applets are safe. The interpreter program does not allow Java code loaded from the network to access loca.................. [:=> 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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ms from transactional databases. This will enable the Analyzer to know the frequent items that are
presented or purchased from large amounts of data. It is designed in a way that simplifies the
process of finding frequent items. The system provides a text field for the analyzer to enter
minimum support value and the system calculates the frequent items that are presented. The process of finding the frequent item sets includes, developing an application domain, the relevant prior knowledge, and the goals of the end-user. Selecting the target data set on which discovery is to be perform.................. [:=> 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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narprojects.org/downloads/?file=/computer%20science%20and%20electronics/AN-EFFICIENT-ALGORITHM-FOR-I
RIS-PATTERN-RECOGNITION-U.pdf&name=AN-EFFICIENT-ALGORITHM-FOR-IRIS-PATTERN-RECOGNITION-U.pdf..................[:=> Show Contents <=:] | |||

## 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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lgorithm to facilitate the implementation of this method under the platforms of MATLAB IMAGES - An introduction: A dictionary defines image as a reproduction or representation of the form of a person or 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 functio.................. [:=> 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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EW: 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. Variability: 244 degrees of freedom. Entropy: 3.2 bits per square millimetre. Uniqueness: set by combinatorial c.................. [:=> 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 :Thursday 17th of September 2015 03:25:38 AM | Trans,
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lysis. 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 implementation of this method under the platforms of MATLAB IMAGES - An introdu.................. [:=> Show Contents <=:] |

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