Search Results - (( java application optimisation algorithm ) OR ( using naive process algorithm ))
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Text Categorization Using Naive Bayes Algorithm
Published 2005“…The aims of this project are to categorize the textual document using naive Bayes algorithm and to measure the correctness of the chosen technique for the categorization process. …”
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Text categorization using naive bayes algorithm
Published 2006“…The aims of this project are to categorize the textual document using naive Bayes algorithm and to measure the correctness of the chosen technique for the categorization process. …”
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Conference or Workshop Item -
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Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour
Published 2022“…The single Classifier test with the Naïve Bayes algorithm produces the highest accuracy value of 72.7%, while using k-NN algorithm is 81.5%. …”
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Proceeding Paper -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Article -
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Naive bayes-guided bat algorithm for feature selection.
Published 2013“…The performance of the proposed feature selection algorithm was investigated using twelve benchmark datasets from different domains and was compared to three other well-known feature selection algorithms. …”
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Article -
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SENTIMENT ANALYSIS IN SOCIAL NETWORKS USING NAiVE BAYES ALGORITHM
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Final Year Project -
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Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…Implementing this process uses classification algorithms such asNaïve Bayes, Support Vector Machine,and Random Forest. …”
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Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak
Published 2021“…A classifier model is developed using Naive Bayes characteristics. A comparison between built-in Scikit Learn Naive Bayes algorithm, and the scratch Naive Bayes algorithm is used to measure its effectiveness in terms of accuracy. …”
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Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
Published 2017“…There are many Rough Set discretization technique that can be used, among of them are Semi Naives and Equal Frequency Binning.…”
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PREDICTION OF HFMD DISEASE OUTBREAK FROM TWITTER
Published 2019“…This is because both Naive Bayes and SVM are baseline algorithm used in text classification. …”
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Final Year Project Report / IMRAD -
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. …”
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Text classification using Naive Bayes: An experiment to conference paper
Published 2005“…The basic text classification technique in forum application has been discussed in Sainin (2005a) and Sainin (2005b).The paper explains about the use of the basic naïve Bayes algorithm to classify forum text me ssages into two classes namely clean and bad. …”
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Conference or Workshop Item -
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Rough set discretization: Equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
Published 2016“…There are many Rough Set discretization technique that can be used, among of them are Semi Naives and Equal Frequency Binning.…”
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Rough Set Discretization: Equal Frequency Binning, Entropy/MDL and Semi Naives Algorithms of Intrusion Detection System
Published 2016“…There are many Rough Set discretization technique that can be used, among of them are Semi Naives and Equal Frequency Binning.…”
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Book Chapter -
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An early warning detection system of terrorism in indonesia from Twitter contents using naïve bayes algorithm
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Conference or Workshop Item -
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad...
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. …”
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Book Section -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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