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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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e design phase is the first step in moving from the problem domain to the solution domain. The
design of the system is the critical aspect that affects the quality of the software. System design
is also called top-level design. The design phase translates the logical aspects of the system into
physical aspects of the system. 3.2 INPUT DESIGN Input design is one of the most important phase of the system design. Input design is the process where the input received in the system are planned and designed, so as to get necessary information from the user, eliminating the information that is no.................. [:=> 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.................. [:=> 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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i just love this camera..................[:=> Show Contents <=:] | |||

## 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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frauds of high voltage electrical energy consumers. Initially, the methodology based on an
Artificial Intelligence technique called Self-Organizing Maps (SOM) will be proposed. After that,
some implementation details of the frauds detection system (FDS) will be shown. Finally, validation,
result and conclusion will be presented.2. METHODOLOGYThe methodology proposed here is base on a reference model known as Knowledge Discovery in Databases (KDD), largely use on data mining projects. In the sequence the methodology steps are shown. 2.1 Choice of the Variables and Data Cons.................. [:=> 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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m more time to work on other projects. SOFTWARE SPECIFICATIONFront end .................. [:=> 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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) 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 growth avoids the costly candidate set procedure and generates the highly condensed database called as FP tree. Our implementation shows that the FP Growth method is efficient for mining frequent patterns and it is an order of magnitude faster than Apriori algorithm.................. [:=> 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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, email: [email protected] G.V.Uma is Professor in the Department of Computer Science and
Engineering with the Anna University-Chennai, email: [email protected] 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 use..................[:=> Show Contents <=:] |

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