Search Results - (( developing theft using algorithm ) OR ( java implementation mining algorithm ))
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1
Direct approach for mining association rules from structured XML data
Published 2012“…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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2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…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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3
Scalable approach for mining association rules from structured XML data
Published 2009“…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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4
Mining association rules from structured XML data
Published 2009“…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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5
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 -
6
Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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7
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…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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8
Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak
Published 2020“…Convolution Neural Network (CNN) using deep learning algorithm is chosen in identifying frequency of movement and execution time of housebreaking crime. …”
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9
Security system using biometric technology: Design and implementation of voice recognition system (VRS)
Published 2008“…In this paper, we present an implementation of a security system based on voice identification as the access control key. Verification algorithm is developed using MATLAB (SIMULINK) function blocks which is capable of authenticating a person's identity by his or her voice pattern. …”
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10
Video surveillance: Item monitoring against theft
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11
Video encryption using computation between H.264/AVC and AES encryption algorithm
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12
Development Of A Portable Community Video Surveillance System
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Machine Learning Applications in Offense Type and Incidence Prediction
Published 2024“…We can develop targeted strategies to prevent and respond to such incidents by analyzing these patterns. …”
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Suspicious activity trigger system using YOLOv6 convolutional neural network
Published 2023“…The activity will be detected in a video image using Deep Learning technique which is YOLOv6 Convolutional Neural Network (CNN) algorithm. …”
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16
Microcontroller-based face recognition system with web-based application for car security
Published 2023“…The system uses Eigenfaces recognition algorithm, which was developed using OpenCV and Python scripts, to perform face detection and recognition. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory
Published 2024thesis::doctoral thesis -
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User-Device Authentication Model With Digital Certificate For Smartphone User
Published 2024thesis::master thesis -
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Enhancing XSS vulnerability detection and removal in web applications using genetic algorithms
Published 2024“…XSS-DETREM has been evaluated empirically using a data set of JSP and Android web applications that have been used in previous studies. …”
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20
Analytical method for forensic investigation of social networking applications on smartphones
Published 2016“…The identified patterns are then used to design an algorithm for detecting social networking data remnants automatically. …”
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