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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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applications and libraries. Today, every major vendor supports Java. Netscape incorporates Java support in every version of its Browser and Server products. Oracle will support Java on the Client, the Web Server, and the Database Server. IBM looks to Java to solve the problems caused by its heterogeneous product line. The Java programming language and environment is designed to solve a number of problems in modern programming practice. It has many interesting features that make it an ideal language for software development. It is a high-level language that can be characterized by all of the .................. [:=> 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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## 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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out fraud detection, however a few of them about fraud detection for electrical energy consumers,
and with some of the data mining techniques, such as Decision Tree and Rough Sets. Basically, the
methodology for those works is: 1. Generate a sample database of normal and fraudulent consumers; 2. Preprocess the data to the data mining tools; 3. Apply the tools to create decision rules; 4. Verify which consumers fit the rules with “fraud” decision and inspect them. However, there are some important characteristics that distinguish low from high voltage consumers, which make impossible t.................. [:=> 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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256 MB RAM Storage : 40 GB Hard Disk Display : VGA Color Monitor .................. [:=> 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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r C++. Java, however, was designed to perform well on very low-power CPUs. Â¢ Java is multithreaded. Java provides support for multiple threads of execution that can handle different tasks with a Thread class in the java.lang Package. The thread class supports methods to start a thread, run a thread, stop a thread, and check on the status of a thread. This makes programming in Java with threads much easier than programming in the conventional single-threaded C and C++ style. Â¢ Java is dynamic. Java language was designed to adapt to an evolving environment. It is a more dynamic lang.................. [:=> 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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sed 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 exponential growth of information available on the internet, updating incoming data and retrieving relevant information from the web quickly and efficiently is a growing concern. Most of the web search engines typically employ conventional information retrieval and data mining techniques to discover automatically useful and previously unknown information from web content. Wit.................. [:=> Show Contents <=:] |

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