Search Results - (( a validation mining algorithm ) OR ( java application testing algorithm ))
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1
RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
2
A Rough-Apriori Technique in Mining Linguistic Association Rules
Published 2008“…This paper has proposed a rough-Apriori based mining technique in mining linguistic association rules focusing on the problem of capturing the numerical interval with linguistic terms in quantitative association rules mining. …”
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Book Chapter -
3
Energy efficiency of the bitcoin mining hardware and related blockchain technology
Published 2018“…Especially the energy efficiency for the hardware of bitcoin mining were not considered as a problem in bitcoin mining. …”
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Undergraduates Project Papers -
4
Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]
Published 2024“…In the context of mining frequent item sets, many methods have been proposed to push various kinds of limitations inside the most well-known algorithms. …”
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Article -
5
DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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Final Year Project -
6
Advanced data mining techniques for landslide susceptibility mapping
Published 2021“…Predictive models were also developed by quantifying these models using data mining techniques. A section of the entire geospatial data (70) was used as training datasets, while the remaining part of the data (30) was used to validate the trained datasets. …”
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Article -
7
Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…The discovered decision algorithm and association rule from the Rough-Set based data mining had been compared with and successfully validated by those discovered using the benchmarking Decision-Tree based data mining strategy. …”
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Thesis -
8
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Journal -
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Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer
Published 2017“…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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Thesis -
10
Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…Evaluating a novel or enhanced algorithm is compulsory in data mining studies in order to measure it has superior performance than its previous version. …”
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Article -
11
Comparison Performance of Qualitative Bankruptcy Classification based on Data Mining Algorithms
Published 2018“…This paper presents a comparison of three different classification algorithms namely NaiveBayes (NaiveBayes classifier), Logistic Regression (Logistic classifier) and C4.5 decision tree (J48 classifier) for bankruptcy classification analysis. …”
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Article -
12
Case Slicing Technique for Feature Selection
Published 2004“…One of the problems addressed by machine learning is data classification. Finding a good classification algorithm is an important component of many data mining projects. …”
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Thesis -
13
Data Mining Analysis Of Chronic Kidney Disease (CKD) Level
Published 2022“…Data classifications are performed at a 10-fold-cross-validation mode using Naïve Bayes (NB), Support Vector Machine (SVM), and J48 Trees. …”
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Monograph -
14
Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…However, less works have been conducted in applying multiobjective based algorithm for topic extraction. Most of these algorithms are not optimized, even if they are, they are only optimized by using a single objective method and may underperform when solving real-world problems which are typically multi-objectives in nature. …”
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Article -
15
Effective mining on large databases for intrusion detection
Published 2014“…Data mining is a common automated way of generating normal patterns for intrusion detection systems. …”
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Conference or Workshop Item -
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Setting up a new Radiology Center Technology for improvement : Data mining (Image Mining Technique)
Published 2016“…In setting up a new Radiology Centre, the data mining technology specifically image mining is addressed. …”
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Monograph -
17
Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach
Published 2019“…Therefore, this study attempts a data mining approach to the analysis of failure in offline English alphabet recognition. …”
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Monograph -
18
AN AGENT-BASED DOCUMENT CLASSIFICATION MODEL TO IMPROVE THE EFFICIENCY OF THE AUTOMATED SYSTEMATIC REVIEW PROCESS
Published 2023“…Firstly, the document classification algorithm analyses a full text of research articles and evaluates relevancy. …”
Review -
19
Data Classification and Its Application in Credit Card Approval
Published 2004“…Sample credit card approval dataset is used to demonstrate the functionality of a data mining solution prototype, which includes the typical tasks of a decision tree induction process: data selection, data preprocessing, decision tree induction, tree pruning, rules generation and validation. …”
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Final Year Project -
20
Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…However, less works have been conducted in applying multiobjective based algorithm for topic extraction. Most of these algorithms are not optimized, even if they are, they are only optimized by using a single objective method and may underperform when solving real-world problems which are typically multi-objectives in nature. …”
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