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Performance Pre-Evaluation Using Secondary Datasets

Performance Evaluation of Clustering Algorithm Using Different Datasets

Performance Evaluation of Clustering Algorithm Using Different Datasets

... the performance of these four clustering algorithms. Performance of these four techniques are presented and compared using a clustering tool ...different datasets namely Abalone, Bankdata, ...

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Performance evaluation of different classification techniques using different datasets

Performance evaluation of different classification techniques using different datasets

... Since using machine learning (ML) techniques in classification studies results in accurate outcomes with a significant saving in terms of time and cost, it is recommended to make use of those algorithms used in ...

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Performance evaluation of Apache Mahout for mining large datasets

Performance evaluation of Apache Mahout for mining large datasets

... A document collection is a grouping of text-based documents. These docu- ments can be grouped by any criteria and usually text mining techniques aim to discover patterns across such collections. A document collection can ...

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Tracking performance evaluation on PETS 2015 Challenge datasets

Tracking performance evaluation on PETS 2015 Challenge datasets

... quantitative evaluation of a tracking system on PETS 2015 Challenge datasets using well-established performance ...measures. Using the exist- ing tools, the tracking system implements ...

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Performance Evaluation of Air Conditioning Systems Using Air Pre Cooler

Performance Evaluation of Air Conditioning Systems Using Air Pre Cooler

... issues. Using the results of a climate model that tested data collected from 2000 to2010, we have identified areas in the world with the greatest collection ...

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Performance Evaluation of Learning by Example Techniques over Different Datasets

Performance Evaluation of Learning by Example Techniques over Different Datasets

... predefined datasets and algorithms in their libraries for performing different data mining based ...in Pre-processing the data before performing any operation, Classification, Clustering, Association and ...

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A Comparative Performance Evaluation of Machine Learning Based NIDS on Benchmark Datasets

A Comparative Performance Evaluation of Machine Learning Based NIDS on Benchmark Datasets

... 7. CONCLUSION This paper deals with the initial design of the Network Intrusion Detection System based on AdaBoost-based machine learning algorithm. We have developed this system using Java and the KDDCup’99 and ...

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PERFORMANCE ANALYSIS OF MAPREDUCE WTH LARGE DATASETS USING HADOOP

PERFORMANCE ANALYSIS OF MAPREDUCE WTH LARGE DATASETS USING HADOOP

... Empirical Evaluation”, Tim Hegeman, BogdanGhit,, MihaiCapot˘a, Jan Hidders, Dick Epema, and AlexandruIosup Parallel and Distributed Systems Group, Delft University of Technology, the Netherlands ...

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The Impact of Pre-Secondary School Types on Academic Performance of Secondary School Students: An Evaluation of Output of Primary School Education Programme in Ondo State, Nigeria

The Impact of Pre-Secondary School Types on Academic Performance of Secondary School Students: An Evaluation of Output of Primary School Education Programme in Ondo State, Nigeria

... academic performance of secondary school students’ classroom in congestion which characterize the State primary and public secondary ...public secondary schools in the State are having an ...

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Summative Evaluation of Teacher Performance by Secondary School Students

Summative Evaluation of Teacher Performance by Secondary School Students

... 62 | J . H u m . I n s . 2 0 1 7 ; 1 ( 2 ) : 6 0 - 7 2 data about variability in general methods are those conducted by Goodlad (1984), Cuban (1984) and Stodolsky (1984). Based on the observational data from 1000 ...

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Syndromic surveillance using veterinary laboratory data : data pre-processing and algorithm performance evaluation

Syndromic surveillance using veterinary laboratory data : data pre-processing and algorithm performance evaluation

... When pre-processed data were subjected to temporal aberration detection using control charts, EWMA performed better than ...poor performance of the CUSUM was attributed to the low median values, when ...

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Performance Evaluation of Digital Pre Distortion Technique using Low Complexity and Low Precision ADC

Performance Evaluation of Digital Pre Distortion Technique using Low Complexity and Low Precision ADC

... Digital Pre-Distortion linearization technique using a low-precision Analog-to-Digital Converter ...the performance of power amplifier, linearization becomes ...Digital Pre-Distortion does the ...

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Pre-Treatment Evaluation Prior to Ultrafiltration in Secondary Effluent Treatment for Water Reuse

Pre-Treatment Evaluation Prior to Ultrafiltration in Secondary Effluent Treatment for Water Reuse

... membrane pre-treatments is ...membrane performance by removing or altering foulants in surface water treatment (Peldszus et ...treating secondary effluent (Zheng et ...a pre-treatment to ...

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Preserving Privacy of Pre and Post Mining Using Balanced Constraint Measure Algorithm on Temporal Datasets

Preserving Privacy of Pre and Post Mining Using Balanced Constraint Measure Algorithm on Temporal Datasets

... health data. The Data Mining provides several benefits in healthcare such as fraud detection in health insurance, providing medical solutions to patients at lower cost, the discovery of causes of diseases and description ...

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Performance Evaluation of the Commercial Bank of Ethiopia: pre and post Liberalization

Performance Evaluation of the Commercial Bank of Ethiopia: pre and post Liberalization

... “performance Evaluation of Commercial Bank of Ethiopia: pre and post ...the performance of the bank in the pre and post liberalization and hence, to comment and recommend them on what ...

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Evaluation of Pre-Diploma Students using Fuzzy Approach

Evaluation of Pre-Diploma Students using Fuzzy Approach

... comprehensive evaluation of Pre-Diploma (Science) students in recent semesters using fuzzy ...academic performance and soft skills for university recognition ...academic performance, ...

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Global scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

Global scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

... P datasets to understand their respective advantages and limitations (see reviews by Gebremichael, 2010; Maggioni et ...racy using independent gauge observations ...the performance of different P ...

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Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets using Multiple Classifiers

Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets using Multiple Classifiers

... imbalanced datasets be ...multi-class datasets which present more challenges when compare to binary class datasets in machine ...the performance evaluation of a classification model for ...

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Evaluation of Modified Vector Space Representation Using ADFA LD and ADFA WD Datasets

Evaluation of Modified Vector Space Representation Using ADFA LD and ADFA WD Datasets

... process using system call trace is a common practice among security community and it is still an active research ...call datasets were employed to train these ...calls datasets that contain labelled ...

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Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation

Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation

... low performance, which is only slightly higher than the performance of a random ...of performance compared to 2017 may be partly explained by the introduction of patient age and gender, and also by ...

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