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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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assword is correct then we can access the main project. 2 Making Transaction: Through this module we can make the transaction. Each transaction correctly observed and stored into database. 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 th.................. [:=> 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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## 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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Request for apriori algorithm java code implementa..................[:=> Show Contents <=:] | |||

## 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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presented on the previous section fundamented the implementation of a fraud detection system (FDS).
This system was integrated to the information system (IS) of a Brazilian electrical energy
distribution company. It is important to emphasize that it is not expected as a result a FDS that
substitute the critical sense and the specialist experience. This is because the quantity of high
voltage clients is much less than normal clients (residential for example). This way, even so the
system identifies consumers with high level of fraud suspicion, this normally small quantity is
passive of supervi..................[:=> 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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the name of the respective video. The architecture for the proposed system will be having a number of layers. The first layer is application that the user will be using. The second layer will be the API that calls the method for performing the specific data searching and the third layer will be the engine that performs the searching of the data. The engine will respond to the server according to the API. Advantages:Data mining can assist financial institutions in areas such as credit reporting and loan information. Data mining can aid law enforcers in identifying crimi.................. [:=> 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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rates the frequent patterns based on FP growth Algorithm. And also it generates the FP Tree to find out the frequent patterns. The FP-growth algorithm is currently one of the fastest approaches to frequent item set mining. It is based on 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. FP-Growth is an algorithm for generating frequent item sets for association rules. This algorithm compresses a large database into a compact, frequent patternâ€œ tree (FP tree) structure. FP .................. [:=> 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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il: profsaru@yahoo.com G.V.Uma is Professor in the Department of Computer Science and Engineering
with the Anna University-Chennai, email: gvuma@annauniv.edu form for further manipulation. Web
mining is an emerging research area focused on resolving these problems. The proposed work in web
mining aims to develop new methodology to effectively mine useful knowledge or information from the
web documents quickly. In general, web mining tasks can be classified into three major categories,
web structure mining, web usage mining and web content mining. Web structure mining tries to
discover useful k..................[:=> Show Contents <=:] |

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