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The data mining approach: Evaluation and refinement

Evaluation of Teacher’s Performance: A Data Mining Approach

Evaluation of Teacher’s Performance: A Data Mining Approach

... The data mining methodology used for extracting useful patterns from the institutional database is able to extract certain unidentified trends in teacher’s performance when assessed across several ...

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Decision tree Classification and Model Evaluation for Breast Cancer Survivability: A Data Mining Approach

Decision tree Classification and Model Evaluation for Breast Cancer Survivability: A Data Mining Approach

... Data mining is the foremost technique in health care industry which helps in uncovering data patterns in large volume of ...by data mining ...Cancer data is analyzed to extract ...

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Online Insurance Consumer Targeting and Lifetime Value Evaluation - A Mathematics and Data Mining Approach

Online Insurance Consumer Targeting and Lifetime Value Evaluation - A Mathematics and Data Mining Approach

... InsWeb data warehouse, all information is saved into ...the data types of columns are different, from integer, varchar, numerical, ...the data consumer input would be arbitrarily distributed, not ...

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Scan Detection: A Data Mining Approach

Scan Detection: A Data Mining Approach

... 4 Evaluation 4.1 Description of the Data Set For our experi- ments, we used real-world network trace data collected at the University of Minnesota between the 1st and the 22nd March, ...

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Survey of   Data Mining Approach using IDS

Survey of Data Mining Approach using IDS

... community. Data Mining is one of the analyses which many IDSs have adopted as an attack recognition ...and data selections was drawn based on the well–known classification schemes, ...the ...

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A New Approach for Evaluation of Data Mining Techniques

A New Approach for Evaluation of Data Mining Techniques

... 2. Data Mining Overview Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most ...

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Data Mining – A Perspective Approach

Data Mining – A Perspective Approach

... ata mining confluence in many disciplines The data mining tools are used to give the information as and when we ...source data mining tools like WEKA is used for ...their data ...

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Evaluation Analysis In Data Mining

Evaluation Analysis In Data Mining

... the data plate for cleaning purposes and that possible impact see the analysis ...results. Data mining methods are suitable for radio data sets and can vary more readily ...payment data ...

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Refinement Techniques in Mining Software Behavior

Refinement Techniques in Mining Software Behavior

... adaptive approach can not save any instrumentation ...our approach (50% saving) definitely outperforms ...tive approach in general performs better than ...our approach instruments all the ...

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AN APPROACH OF DATA MINING ON COMPRESSED TRANSACTION

AN APPROACH OF DATA MINING ON COMPRESSED TRANSACTION

... of data to be stored on hard disks and sent over the ...for data compression ...the data. It is more and more popular to apply the association rule mining in recent years because of its wide ...

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A data mining approach for cardiovascular diagnosis

A data mining approach for cardiovascular diagnosis

... of data generated by health- care transactions are too complex and voluminous to be processed and analysed by traditional ...methods. Data min- ing can improve decision-making by discovering patterns and ...

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The Advantages of a Strochastic Approach to Data Mining

The Advantages of a Strochastic Approach to Data Mining

... more data mining algorithms are applied to a large number of long time series issued by many distributed sen- ...of data is that data warehouses often contain asynchronous time series, ...

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Hybrid Clustering Approach in Data Mining

Hybrid Clustering Approach in Data Mining

... 1 M. Tech. Scholar, 2 Asstt. Professor Department of Computer Science & Engineering, MITM Hisar Haryana, India ABSTRACT Analysis of cluster is a descriptive assignment that perceive homogenous group of objects and it is ...

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Mining XML data: A clustering approach

Mining XML data: A clustering approach

... XML data into clusters of the data points nearest neighbours according to a given ...larger data sets it will take a much longer time to cluster, greatly increasing CPU usage and virtual memory on ...

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Data Mining: A Knowledge Discovery Approach

Data Mining: A Knowledge Discovery Approach

... transaction data contained in current databases such as financial records, medical records, communication records, and travel records as well as new sources of ...intelligence data. A key component of the ...

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Data Mining Techniques : An MRDM Approach

Data Mining Techniques : An MRDM Approach

... and Data Mining Technology & Effective Combination of Knowledge Processing and Neural ...on data streams, ...experimental evaluation on learning tasks with more than two classes may be ...

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Predictive Data Mining: A Generalized Approach

Predictive Data Mining: A Generalized Approach

... various data mining ...programming) approach in designing of efficient classification algorithms for data ...on data mining applications in various fields use the variety of ...

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Data Stream Mining: an Evolutionary Approach

Data Stream Mining: an Evolutionary Approach

... Uncertain data streams are treat in [175], in which two phases algorithm called LuMicro (Low uncertainty Micro) is ...distributed data streams with noise or incomplete ...of data stream at remote ...

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A Visual Approach To Exploratory Data Mining

A Visual Approach To Exploratory Data Mining

... SCATTER AND PARALLEL PLOTS – DESCRIPTION AND APPLICATION Scatter plots using orthogonal axes have been found to be highly effective for many of the initial analysis tasks – especially in assessing attribute relationships ...

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EVOLUTIONARY ALGORITHMIC APPROACH FOR DATA MINING

EVOLUTIONARY ALGORITHMIC APPROACH FOR DATA MINING

... - Data Mining is extracting useful information from large database that cannot be obtained by standard search ...of data is generated and collected every day, giant database are getting filled with ...

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