Search Results - (( _ relation between algorithm ) OR ( age classification mining algorithm ))*
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Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining
Published 2011“…The resulting decomposition is then stored in a tree structure to which a weighted frequent sub-tree mining algorithm is applied. The identified sub-graphs are then incorporated into a feature vector representation (one vector per image) to which classification techniques can be applied. …”
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Conference or Workshop Item -
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Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis
Published 2017“…The predictive model was developed using Induction Decision Tree (ID3) algorithm, a popular data mining technique an exploratory tool for knowledge discovery. …”
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Data Classification and Its Application in Credit Card Approval
Published 2004“…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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Final Year Project -
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…Then, the classifier (support vector machine (SVM) and data mining (DM) algorithm, decision tree (DT) were applied on each fusion image and their accuracy were evaluated. …”
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Sentiment Analysis of Cyberbullying in Social Media Using Decision Trees
Published 2020“…This study uses data mining techniques from the views of users written ion Twitter to use in sentiment analysis of decision tree classification. …”
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Final Year Project -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Two publicly activity datasets are used; Wireless Sensor Data Mining (WISDM) and Physical Activity Monitoring for Aging People (PAMAP2). …”
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A Review on Predictive Model for Heart Disease using Wearable Devices Datasets
Published 2024“…Artificial neural networks (ANNs) have grown in popularity in data mining and machine learning for their ability to classify input data into several categories by detecting hidden connections in the data, which is beneficial in predicting correct classifications. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…Estimating the age of the deceased bodies at the forensic scene is also essential in some instances. …”
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…The objective of the study being conducted is to implement the attribute related methods to solve the shortcomings of the ID3 algorithm like the tendency to select attributes with many values and also improve the performance of ID3 algorithm. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility
Published 2024“…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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A new algorithm to measure relevance among Web pages
Published 2006“…Here, the proposed algorithm first uses only the connectivity information in the Web (i.e., the links between pages) and then the content of pages. …”
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Autonomous multi satellites assembly in keplerian orbits
Published 2013“…To avoid the singularity associated with the analytical solution, switching to the second segment of space is introduced to redefine the velocity profile as a function of the relative distance between satellites and relative distance to the desired goal location in the assembly. …”
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Proceeding Paper -
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CTJ: Input-output based relation combinatorial testing strategy using Jaya algorithm
Published 2019“…To overcome the combinatorial optimization problem, Jaya algorithm is proposed to apply in this project since metaheuristic algorithm is fast in optimization and this strategy is named as CTJ. …”
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Undergraduates Project Papers -
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A Rule Extraction Algorithm That Scales Between Fidelity and Comprehensibility
Published 2012“…However, these two measures are found to be inverse relations of one another. Since the needs of comprehensibility or fidelity may vary depending on the user or application, this paper presented a significance based rule extraction algorithm that allows a user set parameter to scale between the desired degree of fidelity and comprehensibility of the rules extracted. …”
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Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
Published 2010“…Ignoring the interaction between the adapted parameters or adapting one single parameter may have negative impact on the other related parameters, resulting in poor performance. …”
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Finding the optimal road routes between two locations in East Kuala Lumpur by using A* Algorithm based on GPS data / Ilina Syazwani Musa
Published 2007“…The computation of the shortest path is an essential task in many network and transportation related analyses. The research efforts have been done over the years by the researchers around the world by using a number of different algorithms and different cases study. …”
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Image matching using relational graph representation
Published 2005“…The method involves the representation of the structural descriptions of image in relational graph and the matching between relational graphs to perform image matching. …”
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Thesis