Search Results - (( java implementation mining algorithm ) OR ( basic event detection algorithm ))
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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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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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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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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…These low-level descriptions are then integrated using a basic set of rule-packages, to discriminate the different events. …”
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9
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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10
Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection
Published 2019“…An important concept in ID is anomaly detection, which amounts to the isolation of normal behavior of network traffic from abnormal (anomaly) events. …”
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11
Vehicle Tracking using Video Cameras
Published 2013“…In a common security application, human observation plays an important role as they need to monitor the camera‟s output on a TV and detect when any expected events occur. However, relying on human‟s eyes is not a reliable system as the technology now allows an automatic detection system. …”
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12
Numerical Analysis of structural batteries response with the presence of uncertainty
Published 2023“…To help with the analysis, a dedicated algorithm based on an elimination approach to solve numerical problems with uncertain parameters is successfully developed using Visual Basic. …”
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Numerical Analysis of Structural Batteries Response with the Presence of Uncertainty
Published 2023“…To help with the analysis, a dedicated algorithm based on an elimination approach to solve numerical problems with uncertain parameters is successfully developed using Visual Basic. …”
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Vision Based Calibration and Localization Technique for Video Sensor Networks
Published 2009“…The literature is replete with many localization and calibration algorithms that basically rely on some a-priori chosen nodes, called seeds, with known coordinates to help determine the network topology. …”
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15
Design and development of iRemote Terminal Unit (iRTU) for undervoltage and overvoltage fault
Published 2014“…The findings of this research show that the problem of power outages can be detected quickly by iRTU in the event of undervoltage and overvoltage faults and the signals will be sent to the control unit for further action. …”
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16
Recovery of tree community composition across different types of anthropogenic disturbances and characterization of their effect using Landsat time series in Bornean tropical monta...
Published 2022“…We also investigated the use of metrics from spectral trajectories of a Landsat time series (LTS) change detection algorithm (LandTrendr) to identify characteristics of disturbance events and their linkage to the recovery of tree community composition, with field validation. …”
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Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
Published 2014“…In the development of the “hybrid AI-based” classification models, the proposed model (K1-K2- NN), was basically introduced through combining AI approaches of modified K-NN, genetic algorithm (GA), Fisher’s discriminant ratio (FDR) and class separability criteria (CSC). …”
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