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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 Frequ..................[:=> 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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nent(jLabel3) .addContainerGap(172, Short.MAX_VALUE)) ); javax.swing.GroupLayout layout = new javax.swing.GroupLayout(getContentPane()); getContentPane().setLayout(layout); layout.setHorizontalGroup( layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addComponent(jPanel1, javax.swing.GroupLayout.Alignment.TRAILING, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) ); layout.setVerticalGroup( layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addComponent(jPanel1, javax.swing.GroupLayout.Ali.................. [:=> 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 ,
mining frequent itemsets from uncertain data,
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ppt fp growth drawbacks,
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a prefix tree representation of the given database of transactions (called an FP-tree), which can
save considerable amounts of memory for storing the transactions. The basic idea of the FP-growth
algorithm can be described as a recursive elimination scheme: in a preprocessing 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.................. [:=> 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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domain, the relevant prior knowledge, and the goals of the end-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..................[:=> 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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TLAB. 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.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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GES - 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 function of two dimensions which has been generated by optical means, sampled in an equally spaced rec.................. [:=> 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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d significant attention 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 fa..................[:=> 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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etrics 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 complexit.................. [:=> Show Contents <=:] |

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