Search Results - (( java implementation mining algorithm ) OR ( pattern detection gap algorithm ))

Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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Mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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A web-based implementation of k-means algorithms by Lee, Quan

“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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A Bio-Inspired Behavior-Based Hybrid Framework for Ransomware Detection by Mohammed A. F. Salah, Mohd Fadzli Marhusin, Rossilawati Sulaiman

Application of machine learning and artificial intelligence in detecting SQL injection attacks by Md Sultan, Abu Bakar, Agiliga, Nwabudike Augustine, Osman, Mohd Hafeez Bin, Sharif, Khaironi Yatim

“…Datasets of well-known SQL injection attack patterns and AI/ML models intended for cybersecurity anomaly detection are among the resources underexplored, these findings show the potential for boosting detection capabilities by deploying ML and AI-based security solutions, with some algorithms scoring up to an 80 percent success rate in identifying SQL injections. …”
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A review of visualization techniques for duplicate detection in cancer datasets by Emran, Nurul Akmar, Maskat, Ruhaila

“…Bridging the gap between technical detection and visual understanding is essential for advancing data-driven healthcare and ensuring high-quality, reproducible outcomes.…”
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

Toward Predicting Student�s Academic Performance Using Artificial Neural Networks (ANNs) by Baashar Y., Alkawsi G., Mustafa A., Alkahtani A.A., Alsariera Y.A., Ali A.Q., Hashim W., Tiong S.K.

“…This study also attempts to capture a pattern of the most used ANN techniques and algorithms. …”

Enhanced faster region-based convolutional neural network for oil palm tree detection by Liu, Xinni

“…Hence, this research aims to close the research gaps by exploring the deep learning-based object detection algorithm and the classical convolutional neural network (CNN) to build an automatic deep learning-based oil palm tree detection and counting framework. …”
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An early investigation into raised-line tactile graphics reading behavior among blind and visually impaired individuals by Muhammad Ikmal Hakim Shamsul Bahrin, Hazlina Md Yusof, Shahrul Na’im Sidek, Aimi Shazwani Ghazali

“…Despite the advancements in tactile graphic design, a comprehensive understanding of how they explore and interpret raised-line tactile graphics is still lacking. To bridge this gap, this paper introduces a fingertip tracking system employing color marker detection algorithm to investigate the cognitive process of four totally blind participants associated with the Malaysian Association for The Blind (MAB). …”
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Robust techniques for linear regression with multicollinearity and outliers by Mohammed, Mohammed Abdulhussein

“…In addition, although GDFF can detect multiple IO, it has a tendency to detect lesser IO as it should be due to swamping and masking effect. …”
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An early investigation into raised-line tactile graphics reading behavior among blind and visually impaired individuals by Shamsul Bahrin, Muhammad Ikmal Hakim, Md Yusof, Hazlina, Sidek, Shahrul Na'im, Ghazali, Aimi Shazwani

“…Despite the advancements in tactile graphic design, a comprehensive understanding of how they explore and interpret raised-line tactile graphics is still lacking. To bridge this gap, this paper introduces a fingertip tracking system employing color marker detection algorithm to investigate the cognitive process of four totally blind participants associated with the Malaysian Association for The Blind (MAB). …”
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