Search Results - (( java application tools algorithm ) OR ( software classification based algorithm ))
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Provider independent cryptographic tools
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Monograph -
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RSA Encryption & Decryption using JAVA
Published 2006“…The key is the trigger mechanism to the algorithm. Until the advent of the Internet, encryption was rarely used by the public, but was largely a military tool. …”
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Final Year Project -
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Software defect prediction framework based on hybrid metaheuristic optimization methods
Published 2015“…The classification algorithm is a popular machine learning approach for software defect prediction. …”
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Thesis -
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Software Classification Using Structure-Based Descriptors
Published 2009“…A total of 2800 programs have been used during the training process while two different datasets of size (28) were used for testing. Based on the undertaken experiment, the IBK algorithm is noted to generate the highest classification accuracy (74.8%) compared to several other algorithms provided in the Weka tool. …”
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Thesis -
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Knowledge base processing method based on text classification algorithm
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Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
Published 2014“…In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. …”
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The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
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Enhancing Classification Algorithms with Metaheuristic Technique
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Article -
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Accuracy and performance analysis for classification algorithms based on biomedical datasets
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Automatic email classification system / Phang Siew Ting
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Thesis -
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Direct approach for mining association rules from structured XML data
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Thesis -
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Mussels wandering optimization algorithmn based training of artificial neural networks for pattern classification
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Using the bees algorithm to optimise a support vector machine for wood defect classification
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