Classification tree models are simple and effective as software quality prediction models, and timely predictions of defects from such models can be used to achieve high software reliability.To evaluate the performance of the the suitable algorithms is applied to calculate the Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Receiver Operating Characteristic (ROC), Accuracy measure is are also applied. the above problem is implemented using Weka dataming tool ....etc

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Abstract

Prediction of an event at a time series is quite important for engineering and economy problems. Time series data mining combines the fields of time series analysis and data mining techniques. This method creates a set of methods that reveal hidden temporal patterns that are characteristic and predictive of time series events. Time series data mining examines the time series in a phase space. In this paper, a prediction algorithm using time series data mining based on fuzzy logic is proposed. Earthquake prediction has been ....etc

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I need the whole working of genetic algorithm using audio steganography! m little confused about the negative audio bits and positive audio bit and the operation of crossover and mutation on these bits btw -1 to +1 . ....etc

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developing an algorithm for data mining using clustering genetic algorithm at c++



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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please post the ppt for horizontal aggregation ....etc

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I need the complete detail of the topic..... ....etc

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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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i want to get a loan form dic.my project is D.T.P.Please send me desk top pulishing project report.i will be greatful on your service. ....etc

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can u pls send coding and ppt for Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis ....etc

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good algo to get frequent itemset
.it also very use full,this algo comes under data mining,ti fet frequent item at last,to make market stategies. ....etc

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