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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 warehousing and data mining pdf m tech
Page Link: data warehousing and data mining pdf m tech -
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Created at: Thursday 29th of November 2012 01:52:28 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: Generalization and decision tree induction efficientclassification in data mining
Page Link: Generalization and decision tree induction efficientclassification in data mining -
Posted By: computer science crazy
Created at: Tuesday 20th of October 2009 06:41:02 PM
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Abstract
Efficiency and scalability are fundamental issues concerning data mining in large databases. Although classification has been studied extensively, few of the known methods take serious consideration of efficient induction in large databases and the analysis of data at multiple abstraction levels. The paper addresses the efficiency and scalability issues by proposing a data classification method which integrates attribute oriented induction, relevance analysis, and the induction of decision trees. Such an integration leads to efficient ....etc

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Title: decision tree for uncertain data project using algorithm ppt
Page Link: decision tree for uncertain data project using algorithm ppt -
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Created at: Sunday 14th of July 2013 04:19:35 PM
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Title: tree based mining for discovering patterns of human interaction in meetings for module
Page Link: tree based mining for discovering patterns of human interaction in meetings for module -
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Created at: Saturday 12th of January 2013 01:29:51 PM
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Title: dic algorithm in data mining proposed by brin ppt
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Created at: Wednesday 30th of January 2013 12:02:58 AM
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Title: INCREMENTAL MINING USING FREQUENT PATTERN TREE
Page Link: INCREMENTAL MINING USING FREQUENT PATTERN TREE -
Posted By: project topics
Created at: Monday 12th of April 2010 11:33:19 PM
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Abstract:

Data mining refers to extracting or mining knowledge from large amount of data. It helps in discovering the frequent patterns. This knowledge can be help in making business decisions conventional data mining techniques were proposed to be in efficient, the source of data is incremental in nature and also they need to be re executed every time which in turn multiple database scans.

In this paper, we propose a novel data structure called CATS Tree to suit for continuously growing data sets, based on association rule mining with in ....etc

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Title: Data Types Generalization for Data Mining Algorithm
Page Link: Data Types Generalization for Data Mining Algorithm -
Posted By: seminar class
Created at: Thursday 05th of May 2011 03:10:18 PM
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Abstract
With the increasing of database applications, mining interestinginformation from huge databases becomes of most concern and avariety of mining algorithms have been proposed in recent years.As we know, the data processed in data mining may be obtainedfrom many sources in which different data types may be used.However, no algorithm can be applied to all applications due tothe difficulty for fitting data types of the algorithm, so the selectionof an appropriate mining algorithm is based on not only thegoal of application, but als ....etc

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Title: developing an algorithm for data mining using clustering genetic algorithm at c
Page Link: developing an algorithm for data mining using clustering genetic algorithm at c -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:33:37 PM
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With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and ....etc

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