Search Results - (( using interactive data algorithm ) OR ( a classification using algorithm ))
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Comparative study of machine learning algorithms in data classification
Published 2025“…This research conducts a comparative study of various machine learning algorithms for dataset classification to identify the most accurate and reliable classifier. …”
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Final Year Project / Dissertation / Thesis -
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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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3
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…However, there is a need to explore more algorithms that can yield better classification performance. …”
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Article -
4
Development of interactive application for classification of Artocarpus Species
Published 2020“…This study shown the comparative results by using different algorithms which are GLCM, Canny, and Prewitt for all data samples. …”
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Undergraduate Final Project Report -
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Classification of hand gestures from EMG signals / Diaa Albitar
Published 2022“…The features are for developing classification models using three algorithms that include k-Nearest Neighbour (K-NN), Support Vector Machine (SVM), and Convolution Neural Network(CNN). 80% of the data used by the classifier is used for training while the rest 20% Is used for testing. …”
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Thesis -
7
Improved building roof type classification using correlation-based feature selection and gain ratio algorithms
Published 2017“…The classification results using SVM classifier produced an overall accuracy of 83.16%. …”
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Conference or Workshop Item -
8
Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device
Published 2021“…SAX algorithm changes the original time series data into a symbolic string and perform the discretization by dividing a time series into equal-sized segments. …”
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Thesis -
9
Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…From the data analysis using WEKA software, the production rules classifier (PART) is found to be the most accurate classification algorithm in classifying the emotion which yields the highest precision percentage of 99.6% compared to J48 (99.5%) and Naïve Bayes (96.2%). …”
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Thesis -
10
EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
Published 2019“…In this work, we investigated the classification of EEG eye state data using statistical and CSP filter technique. …”
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11
EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
Published 2019“…In this work, we investigated the classification of EEG eye state data using statistical and CSP filter technique. …”
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Conference or Workshop Item -
12
Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms
Published 2023“…In this paper, we use an existing data set from previous research, which has 100 records of data, and manipulate the data by applying three machine learning algorithms for implementing classification and regression tasks. …”
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Article -
13
An Empirical Evaluation of Artificial Intelligence Algorithm for Hand Posture Classification
Published 2022“…In this connection, a recent dataset, â��Mocap Hand Postures Data Set,â�� has been opted to employ the different variants of the machine learning algorithm. …”
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Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis
Published 2021“…In order to validate the performance of proposed algorithms, two datasets were used; the first is the publicly available BCI Competition IV dataset 2a, which was often used as a benchmark in validating motor imagery classification algorithms, and the second is a dataset consists of primary data initially collected to study the difference between motor imagery and mental-task associated motor imagery BCI and was used to test the plausibility of the proposed algorithm in highlighting the differences in terms of cortical rhythms. …”
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15
Forest mapping in Peninsular Malaysia using Random Forest and Support Vector Machine Classifiers on Google Earth Engine
Published 2023“…The accuracy assessment test using the Kappa coefficient resulted in a value of 0.7893 for the RF algorithm and 0.6328 for the SVM algorithm for the year 2010. …”
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Intuitive content management system via manipulation and duplication with if-else rules classification
Published 2018“…An ICMS is a content management system that uses three main important techniques to build, such as Manipulation method, Data Mining Prediction, and Boyer-Moore Horspool algorithm. …”
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Thesis -
17
Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing
Published 2015“…This algorithm represents the decision tree knowledge model, enables fast classification of intra-urban classes, and disables subjectivities related to the interaction with analysts. …”
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Genetic ensemble biased ARTMAP method of ECG-Based emotion classification
Published 2012“…Classification performance can be improved by implementing a reliability threshold for training data. …”
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