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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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new javax.swing.JLabel(); jLabel2 = new javax.swing.JLabel(); jLabel3 = new javax.swing.JLabel(); setDefaultCloseOperation(javax.swing.WindowConstants.EXIT_ON_CLOSE); setBounds(new java.awt.Rectangle(200, 150, 0, 0)); jPanel1.setBackground(new java.awt.Color(204, 255, 204)); jLabel1.setFont(new java.awt.Font(Script MT Bold, 1, 24)); // NOI18N jLabel1.setForeground(new java.awt.Color(255, 153, 153)); jLabel1.setText( Mining Frequent Patterns); jLabel2.setFont(new java.awt.Font(Tahoma, 3, 15)); // NOI18N jLabel2.setForeground(new java.awt.Color(255, 51, 51)); jLabel2................... [:=> Show Contents <=:] | |||

## apriori algorithm gui applet frame implementation in java codePosted by: Created at: Saturday 03rd of November 2012 01:23:35 PM Last Edited Or Replied at :Saturday 03rd of November 2012 01:23:35 PM | apriori algorithm using asp net ,
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i just love this camera :). it is very light. its zoom is very good too . the price however is a little higher then other camera. the pictu.................. [:=> Show Contents <=:] | |||

## apriori algorithm gui applet frame implementation in java codePosted by: Created at: Saturday 03rd of November 2012 01:05:14 PM Last Edited Or Replied at :Saturday 03rd of November 2012 01:05:14 PM | java code apriori,
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## apriori algorithm code in java free downloadPosted by: Created at: Saturday 13th of October 2012 10:29:33 PM Last Edited Or Replied at :Wednesday 13th of March 2013 04:55:07 AM | apriori project in java download ,
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## Fraud Detection in High Voltage Electricity Consumers Using Data MiningPosted by: Wifi Created at: Thursday 28th of October 2010 01:41:26 PM Last Edited Or Replied at :Thursday 28th of October 2010 01:41:26 PM | Mining,
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ree the client of any suspicion, once the specialist knows the motive of the alarm raised by the
FDS. Fig. 3.1 illustrates the integration between IS and FDS, defining the operations that each system execute on the database. Fig. 3.1 Integration between IS and FDS. 4. VALIDATION AND RESULTS For the FDS validation, a simulation was realized, where 156 random consumers with different behavior were selected. First, all of them were analyzed with the FDS regarding fraud suspicion. Then, all the consumers suffered an intentional and temporary 30% drop on their consumpt.................. [:=> Show Contents <=:] | |||

## Data Mining On Multimedia DataPosted by: seminarsonly Created at: Monday 20th of September 2010 07:19:09 AM Last Edited Or Replied at :Saturday 22nd of January 2011 01:03:57 AM | multimedia data compression format ,
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Which clients are most likely to respond to my next promotional mailing, and why?Existing System:Due to the bulk of information that is present n the system it is not easy to find the desired data. Now this can cause a large loss of time and resources and economy. Proposed System: Here in the proposed system we are using the help of a search engine with advanced searching options. By using this way we can collect the desired information from the web with the least effort and time consumption. Web mining aims to discover useful information and knowledge from the.................. [:=> 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,
mining frequent itemsets ,
mining frequent patterns associations and correlations,
mining frequent patterns without candidate generation ,
An Efficient Algorithm for Mining Frequent Patterns pdf,
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Component(jLabel1, javax.swing.GroupLayout.PREFERRED_SIZE, 27,
javax.swing.GroupLayout.PREFERRED_SIZE) .addGap(63, 63, 63) .addComponent(jLabel2, javax.swing.GroupLayout.PREFERRED_SIZE, 22, javax.swing.GroupLayout.PREFERRED_SIZE) .addGap(36, 36, 36) .addComponent(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.Al.................. [:=> Show Contents <=:] | |||

## Signed Approach for Mining Web Content OutliersPosted by: project report tiger Created at: Monday 01st of March 2010 11:54:39 AM Last Edited Or Replied at :Wednesday 20th of July 2011 11:05:55 PM | mining web informative structures and contents based on entropy analysis ,
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the less frequent ones that are likely to contain outlying data such as noise, irrelevant and
redundant data. This paper mainly focuses on Signed approach and full word matching on the organized
domain dictionary for mining web content outliers. This Signed approach gives the relevant web
documents as well as outlying web documents. As the dictionary is organized based on the number of
characters in a word, searching and retrieval of documents takes less time and less space Presented By G. Poonkuzhali, K.Thiagarajan, K.Sarukesi and G.V.Uma . I. INTRODUCTION the exponenti.................. [:=> Show Contents <=:] |

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