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Data Mining algorithms.

Data Mining Algorithms

Data Mining Algorithms

... Data mining refers to extracting or mining the knowledge from large amount of ...“Data Mining” can also be referred to as mining of ...user data stored in their databases. ...

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II. PRIVACY PRESERVING DATA MINING ALGORITHMS

II. PRIVACY PRESERVING DATA MINING ALGORITHMS

... of data processing and securing the data increasing everywhere, however it is in the dark concerning how data is shared and ...preserving data mining initiated new direction and got ...

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A Comparative Study on Data Mining Algorithms for Classification & Regression

A Comparative Study on Data Mining Algorithms for Classification & Regression

... storing data in large ...“Data Mining” ...applications,data mining algorithms are classified into five types such as, classification, regression, segmentation, association, ...

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Viability of implementing data mining algorithms as a web service

Viability of implementing data mining algorithms as a web service

... implementing data mining algorithms within a W3C standards compliant web ...a data- mining web-service can be a reliable and effective data-mining tool especially in ...

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Helicobacter pylori microbe and detecting with data mining algorithms

Helicobacter pylori microbe and detecting with data mining algorithms

... medical data collected from patient’s blood test in Namazi Hos- pital 2 of ...converted data to a readable format for data mining algorithms and eventually we analyzed the converted ...

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Analyze Data Mining Algorithms For Prediction Of Diabetes

Analyze Data Mining Algorithms For Prediction Of Diabetes

... of data mining is to extract useful information from large collection of ...different Data Mining algorithm for prediction and diagnosis of diabetes ...main data mining ...

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Classification and performance evaluation using data mining algorithms

Classification and performance evaluation using data mining algorithms

... Educational data mining (EDM) is a field that exploits machine-learning, statistical and data-mining algorithms over the different types of educational ...analyse data in order ...

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Technique of Building Parallel Data Mining Algorithms

Technique of Building Parallel Data Mining Algorithms

... computational algorithms. Unfortunately, data mining algorithms are no ...parallel data mining algorithms are spent on parallelization of individual analysis ...

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Data Mining Algorithms in Healthcare

Data Mining Algorithms in Healthcare

... Many algorithms are used for prediction of this disease like Naive Bayes, Support Vector Machine, Decision Tree, K-Nearest Neighbour ...etc. Data mining algorithms have proven to successfully ...

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MapReduce, GPGPU and Iterative Data mining algorithms

MapReduce, GPGPU and Iterative Data mining algorithms

... Concept are same as Google MapReduce Input, Intermediate and output files are saved into HDFS Using replicas for fault tolerance Each file is saved into blocks, which makes load balance [r] ...

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To Enhance The Security In Data Mining Using Integration Of Cryptograhic And Data Mining Algorithms

To Enhance The Security In Data Mining Using Integration Of Cryptograhic And Data Mining Algorithms

... Text Mining Tools: The third type of data mining tool is called text mining ...mine data from different kind of ...selected data into a format that is compatible with the tool ...

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Implementation of Data Mining Algorithms for Diabetes Prediction

Implementation of Data Mining Algorithms for Diabetes Prediction

... learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java ...test data to predict diabetes. Weka contains tools ...

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A Comparative Study of Classification Techniques in Data Mining Algorithms

A Comparative Study of Classification Techniques in Data Mining Algorithms

... The data analysis in SVM is based on convex quadratic programming, and it is computationally expensive, as solving quadratic programming methods require large matrix operations as well as time consuming numerical ...

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Survey on Big Data Mining Algorithms

Survey on Big Data Mining Algorithms

... large data sets In order to meet the growing demands of data, we need to scale up both in terms of capacity and performance measures ...Big data needs more capacity, scalability, and efficient ...

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Using Data Mining Algorithms for Thalassemia Risk Prediction

Using Data Mining Algorithms for Thalassemia Risk Prediction

... Based on the description of the risk factors, the results showed that majority of the patients had no family history of thalassemia owing for 55% of the patients, 70% of the patients had no enlarged spleen, 60% of the ...

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Applications of Data Mining Algorithms for Network

Applications of Data Mining Algorithms for Network

... two studies proposed a sequential pattern mining technique that incorporated alert information. 327[r] ...

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Algorithms and Applications for Spatial Data Mining

Algorithms and Applications for Spatial Data Mining

... spatial data mining is based on spatial neighbourhood relations between ob- jects and on the induced neighbourhood graphs and neighbourhood paths which can be defined with respect to these neighbourhood ...

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A Comprehensive Study on Distributed Data Mining and Learning Algorithms

A Comprehensive Study on Distributed Data Mining and Learning Algorithms

... the data mining process in that they allow individual agents to collectively process large amounts of ...the data and then combine the local results to produce the desired global result, thus ...

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Clustering and Classification Algorithms in Data Mining

Clustering and Classification Algorithms in Data Mining

... process, data are gathered from a numbers of sources and integrated into unified ...the data to eliminate inconsistencies, ambiguities, errors and incompleteness of ...that, data is transformed into ...

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Learning classification algorithms in data mining

Learning classification algorithms in data mining

... simplest data-mining algorithms where if there are N given training samples and a sample point S is given, the algorithm identifies k closest neighbors to ...

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