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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Article -
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Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…This research combines the ontology and text representation for classification by developing five algorithms. The first and second algorithms namely Concept Feature Vector (CFV) and Structure Feature Vector (SFV), create feature vector to represent the document. …”
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The influence of sentiments in digital currency prediction using hybrid sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)
Published 2021“…Support Vector Machine (SVM) technique is used with the Whale Optimization Algorithm (WOA) which is inspired by the swarm optimization algorithms. …”
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Proceeding Paper -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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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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Five phase space vector modulation voltage source inverter using large vector only / Mohd Syazimie Zulkifli
Published 2012“…Furthermore, this study does not include the zero vectors at the time switching and only active vector were used for the time switching for each sector. …”
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Analyzing DNA Sequences Using Clustering Algorithm
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm
Published 2020“…The classification for this thematic Hadith dataset is implemented using Rapidminer, a machine learning tool using Naïve Bayes and Support Vector Machine (SVM) methods. …”
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Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements
Published 2013“…The proposed algorithm has been applied to EgyptSat-1. The satellite is switched from earth-pointing to sun-pointing mode using the estimated sun-vector. …”
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Proceeding Paper -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve hig...
Published 2022“…One of the most commonly used algorithms is Support Vector Machine (SVM). …”
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Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…Thus, the proposed algorithms proved to be superior over the other algorithms in all aspects.…”
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Thesis -
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Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The first algorithm locates interest points in food images using an MSER. …”
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Thesis -
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Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
Published 2013“…Secondly reducing the numbers of extracted features vector using the concept of Principal Component Analysis (PCA) for features selection and vectors dimensionality reduction. …”
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Conference or Workshop Item -
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Combination of linear and gradient vector flow field digital mosaic rendering for automated tile placement
Published 2018“…Firstly, an improved algorithm using hybrid GVF digital mosaic rendering. …”
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Surface Normals with Modular Approach and Weighted Voting Scheme in 3D Facial Expression Classification
Published 2014“…New insight in facial expression analysis is found particularly when no intensity information is provided. Surface normals does has a potential to be used as the feature vectors to classify six basic expressions.…”
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