Search Results - (( pattern based algorithm ) OR ((( patterns graph algorithm ) OR ( patterns a algorithm ))))
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A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…The approach in the offline phase is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining. …”
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Thesis -
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Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis
Published 2021“…Thus, this study proposed a Bat Algorithm (BA) to address the complex learning structure of DBN in detecting sentiment patterns. …”
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Monograph -
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A lightweight graph-based pattern recognition scheme in mobile ad hoc networks.
Published 2012“…The comparison study between DGHN and the iterative, highly computational self organizing map (SOM) is also reviewed. Both algorithms show comparable detection results. Thus, the lightweight, low computation DHGN based detection scheme offers an effective security solution in MANETs.…”
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Book Section -
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Improvement Of Local-Based Stereo Vision Disparity Map Estimation Algorithm
Published 2017“…The accuracy is affected by the regions of edge discontinuities, occluded, repetitive pattern and low texture. Therefore, this thesis proposes an algorithm to handle more efficiently these challenges. …”
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Thesis -
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WebPUM : a web-based recommendation system to predict user future movements.
Published 2010“…The approach is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining phase. …”
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Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques
Published 2022“…At the end of this project, a formula equation and graph will be thoroughly discussed and analysed for projecting energy consumption patterns based on the most trending videos on YouTube in 2021.…”
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Final Year Project / Dissertation / Thesis -
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Scalability and performance in duplicate detection : relational vs. graph database
Published 2023“…Graph-based algorithms such as community detection, may prove beneficial as it can capture a more complex relationships between data. …”
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Undergraduates Project Papers -
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The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…That is why many parameter estimation methods have been developed since their first introduction to determine the best value for a particular parameter. Metaheuristic parameter estimation is an algorithm framework that is processed using some technique to generate a pattern or graph. …”
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Deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function
Published 2012“…Specialized methods for specific domains have emerged to satisfy various needs in discovering rare patterns in text. This paper focuses on a graph-based approach for text representation and presents a novel error tolerance dissimilarity algorithm for deviation detection. …”
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Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining
Published 2023“…First, this study combines SPM with Sentence Scoring method as feature-based approach and Bellman-Ford algorithm as graph-based to validate the performance of SPM. …”
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Thesis -
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A Study of Visual Attention in Diagnosing Cerebellar Tumours
Published 2009“…Visual attention allows user to select the most relevant information to ongoing behaviour. This paper presents a study on; i) the performance of people measurements, ii) accurateness of people measurement of the peaks that correspond to chemical quantities from the Magnetic Resonance Spectroscopy (MRS) graphs and iii) affects of people measurements to the algorithm-based diagnosis. …”
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Analyzing students’ experience in programming with computational thinking through competitive, physical, and tactile games: The quadrilateral method approach
Published 2021“…The CT elements in this research focus on four major programming concepts, which are decomposition, pattern recognition, abstraction, and algorithmic thinking. …”
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Ontology enrichment with causation relations
Published 2014“…The proposed framework extracts initial semantic patterns for causation relation from the input samples, then filters these patterns using two novel algorithms, namely, the “Purpose Based Word Sense Disambiguation” which helps in determining the causation senses for input pair of words and the “Graph Based Semantics” which determines the existence of the causation relations in the sentence and to extract their cause-effect parts. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Therefore, this was not incorporated in BBN models. Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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Thesis -
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Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The objective of this study is to develop an algorithm based on the aerosol optical thickness (AOT) for mapping PM1 0 using digital camera and satellite imageries. …”
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Thesis -
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Extrema Points Application In Determining Iris Region Of Interest
Published 2019“…In this study, the algorithm was based on finding the classification for the region of interest (ROI) with the help of a Support Vector Machine (SVM) by applying a histogram of grey level values as a descriptor in each region from the region growing technique. …”
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A framework for multiple moving objects detection in aerial videos
Published 2019“…This representation is important for correspondence discovery between consecutive frames based on multigraph matching. Ultimately, each region is labeled as either a background or foreground (object) using a proposed graph-coloring algorithm. …”
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Book Section -
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The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning
Published 2025“…However, not much attention has been paid to issues related to skyline query processing over knowledge of large-scale incomplete graph databases. Most recently, graphs have become prevalent data structures to model complex information networks for various real-life contemporary applications such as social networks, knowledge bases, pattern recognition, and the World Wide Web. …”
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Proceeding Paper