Search Results - (( using nearest based algorithm ) OR ( java application using algorithm ))
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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 method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi
Published 2017“…The second one is to develop prototype for classification of credit cardholder behavior based on k Nearest Neighbors Algorithm. The third one is to evaluate the accuracy of the k Nearest Neighbors algorithm in the classification credit card holder behavior. …”
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Smart indoor parking system based on Dijkstra's algorithm
Published 2019“…Programming in the Arduino is implemented to calculate the nearest parking lot based on Dijkstra’s Algorithm. …”
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Imputing incomplete software metric database using iterative nearest neighbour based algorithm
Published 2008“…The purpose of this paper is to review and implement the iterative nearest neighbour based data imputation technique for handling incomplete software metric database. …”
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Anime recommender system using K-nearest neighbor algorithm / Luqmanul Hakim Ahmad
Published 2022“…K- nearest neighbor algorithm is chosen to be implemented in the recommender system. …”
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Facial expression type recognition using K-Nearest Neighbor algorithm / Norhafizah Saffian
Published 2017“…Based on this calculation, the accuracy of this algorithm is 93% using the k values of 5. …”
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A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry
Published 2019“…Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and K Nearest Neighbor algorithm. …”
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An improved K-nearest neighbour with grasshopper optimization algorithm for imputation of missing data
Published 2021“…K-nearest neighbors (KNN) has been extensively used as imputation algorithm to substitute missing data with plausible values. …”
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The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi
Published 2017“…This algorithm is one of the algorithms used for getting the lowest cost search path. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Third, using a modified k-Nearest Neighbor method as well as an improved method of backpropagation neural networks, the classification process was advanced based on optimum arrays of the features selected by genetic algorithms. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Gas Identi cation by Using a Cluster-k-Nearest-Neighbor
Published 2009“…We find 98.7% of accuracy in the classification of 6 different types of Gas by using K-means cluster algorithm and we find almost the same by using the new clustering algorithm.…”
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Real-time classification improvement of Indonesian sign system letters (SIBI) using K-Nearest Neighbor algorithm
Published 2024“…A novel approach is introduced to enhance SIBI character predictions using the K-Nearest Neighbor (K-NN) algorithm. The K-NN algorithm is employed to predict the most suitable SIBI character based on the similarity of linguistic features between input speech and existing data. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Moreover, the new framework based on ELM has been compared with the k-Nearest Neighbor and the results have shown that the proposed model based on the extreme learning algorithm outperforms the k-Nearest Neighbor approach. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Moreover, the new framework based on ELM has been compared with the k-Nearest Neighbor and the results have shown that the proposed model based on the extreme learning algorithm outperforms the k-Nearest Neighbor approach. …”
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Efficient document retrieval system using locality sensitive hashing nearest neighbor algorithm and weighted jaccard distance for retrieving closest personalities
Published 2024“…The results presented in this paper show that the TF-IDF scheme with Locality Sensitive Hashing Nearest Neighbor Algorithm using the Weighted Jaccard Distance can yield superior retrieval efficiency when contrasted with alternative approaches found in the existing literature.…”
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