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An Efficient Algorithm for Mining Frequent Patterns full report


Posted 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
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ource that is portable. A Java program is a stream of bytes that can be run on any machine. An interpreter program is built into Web browsers, though it can run separately. Java programs can be distributed through the Web to any client computer.
¢ Java applets are safe. The interpreter program does not allow Java code loaded from the network to access local disk files, other machines on the local network, or local databases. The code can display information on the screen and communicate back to the server from which it was loaded.
A group at Sun reluctantly invented Java when they decid..................[:=> Show Contents <=:]



apriori algorithm gui applet frame implementation in java code


Posted 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
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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..................[:=> Show Contents <=:]



apriori algorithm gui applet frame implementation in java code


Posted 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
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i just love this cam..................[:=> Show Contents <=:]



apriori algorithm code in java free download


Posted 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
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Request for apriori algorithm java code ..................[:=> Show Contents <=:]



Fraud Detection in High Voltage Electricity Consumers Using Data Mining


Posted 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
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azilians electrical energy power distribution companies have to deal is the commercial losses, mainly resulted from consumer’s frauds. To reduce losses, the companies realize in loco inspections to try to detect frauds. The inspections are made by technicians that visit the consumer and evaluate equipments and electricity connections. Generally, company specialists indicate which consumer must undergo an inspection. However, due the high quantity of consumer, it is almost impossible to evaluate each consumer behavior and indicate the ones that are suspicious of fraud. Also, it is not viable..................[:=> Show Contents <=:]



Data Mining On Multimedia Data


Posted 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
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will be searched using CBIR(Content Based Image Retrieval) and thumbnails will be shown for the images which on further selection will be displayed in the true form. For the videos the searching of the videos can be based on size or 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 wi..................[:=> Show Contents <=:]



An Efficient Algorithm for Mining Frequent Patterns full report


Posted 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, An Efficient Algorithm for Mining Frequent Patterns ppt , An Efficient Algorithm for Mining Frequent Patterns, report , full, Patterns , Frequent, Mining , algorithm for data mining, Algorithm , Efficient, aprori algorthim under association rule full report , apriori algorithm gui applet frame implementation in java code, dynamic itemset counting algorithm ppt , discuss the efficiency of frequent growth algorithm, comparison between apriori and dic , java code for finding frequent items and building association rules, efficient tree based distributed data mining algorithms for mining frequent patterns pdf , ppt fp growth drawbacks, candidate key generation algorithm ppt , an efficient implementation of the fp growth algorithm using graphics processing units, apriori algorithm in data mining doc , an efficient algorithm for mining frequent patterns,
ability of the system and produce result from accurate data or they can result in the production of erroneous information. The input design of the system includes the following
Form Design:
Existing Database:
New Database
Comparison results of two algorithms:
Coding:
package mining;
/**
*
* @author admin
*/
public class main extends javax.swing.JFrame {
/** Creates new form main */
public main() {
initComponents();
}
/** This method is called from within the constructor to
* initialize the form.
* WARNING: Do NOT modify this code. The content of this method i..................[:=> Show Contents <=:]



Signed Approach for Mining Web Content Outliers


Posted 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
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all points, using distance of point from k-th nearest neighbor, and orders points by this rank. The top n points in ranked list identified as outliers. Alternative approaches compute the outlier factor as sum of distances from k nearest neighbors. E. Density based methods rely on local outlier factor (LOF) of each point, which depends on local density of neighborhood. Points with high factor are indicated as outliers Unlike traditional outlier mining algorithm designed only for numeric data sets, web outliers mining algorithm should be applicable to various types of data including text, hype..................[:=> Show Contents <=:]



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