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Title: new dimension of data security using neural networks and numerical functions
Page Link: new dimension of data security using neural networks and numerical functions -
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Created at: Monday 18th of March 2013 07:42:00 PM
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Title: A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site
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Posted By: project topics
Created at: Monday 02nd of May 2011 01:02:32 PM
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A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site-IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 2,

vb.net

Abstract—I

n this paper, we present a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. Even though the Web site under study is part of a nonprofit organization th ....etc

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Title: neural network in data mining ieee seminar
Page Link: neural network in data mining ieee seminar -
Posted By: mariajo9
Created at: Monday 09th of September 2013 12:19:11 AM
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Title: horizontal aggregation in sql to prepare data sets from data mining ppt
Page Link: horizontal aggregation in sql to prepare data sets from data mining ppt -
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Created at: Monday 24th of December 2012 03:36:28 PM
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Title: ppt for horizontal aggregation in sql to prepare data sets for data mining analysis
Page Link: ppt for horizontal aggregation in sql to prepare data sets for data mining analysis -
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Created at: Thursday 20th of December 2012 03:43:28 PM
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Title: Data Warehouses Decision Support and Data Mining
Page Link: Data Warehouses Decision Support and Data Mining -
Posted By: computer science crazy
Created at: Tuesday 23rd of September 2008 04:43:00 AM
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Data Warehouses, Decision Support and Data Mining

A Data Warehouse is a subject-oriented,integrated,time-variant,non-volatile collection of data used in support of management decision making processes.

Subject-Oriented:-
The data warehouse is organized around the key subjects (or high-level entities) of the enterprise.

Major subjects include
a) Customers
b) Patients
c) Students
d) Products
e) Etc.

Data support :-

Stored collection of diverse data
A solution to data integration problem
Single repository of information
Sub ....etc

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Title: Data Mining with Neural Networks and Genetic Algorithms
Page Link: Data Mining with Neural Networks and Genetic Algorithms -
Posted By: seminar class
Created at: Tuesday 01st of March 2011 12:50:48 PM
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Data Mining with Neural Networks and Genetic Algorithms
General Strategy

• Train Neural Network with representative data
• Use Genetic Algorithm to generate rule sets
• Evaluate performance of the rule sets
Training the Neural Network
• Only constraint on topology is that it must have the same number of inputs as categories (e.g., cap-shape, cap-surface, etc.) and the same number of outputs as classes (e.g., poisonous or edible)
• 3-layer perceptron appears to be model used for experiment with 7 ....etc

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Title: horizontal aggregations in sql to prepare data sets for data mining analysis ppt
Page Link: horizontal aggregations in sql to prepare data sets for data mining analysis ppt -
Posted By:
Created at: Thursday 10th of January 2013 12:33:54 AM
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Title: ppt for horizontal aggregation in sql to prepare data sets for data mining analysis
Page Link: ppt for horizontal aggregation in sql to prepare data sets for data mining analysis -
Posted By:
Created at: Saturday 12th of January 2013 08:08:19 PM
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Title: Neural Networks For Location Prediction In Mobile Networks
Page Link: Neural Networks For Location Prediction In Mobile Networks -
Posted By: seminar class
Created at: Friday 22nd of April 2011 01:33:36 PM
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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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