Search Results - (( developing next mining algorithm ) OR ( java application stemming algorithm ))
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1
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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2
A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…The approach is based on the using longest common subsequence algorithm to classify current user activities to predict user next movement. …”
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3
WebPUM : a web-based recommendation system to predict user future movements.
Published 2010“…Furthermore, longest common subsequence algorithm is used for classifying current user activities to predict user next movement. …”
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4
Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…The developed logic mining will be used to analyze the Alzheimer's Disease Neuroimaging Initiative dataset.…”
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5
Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System
Published 2011“…Several algorithms have been developed by exploiting these computational capabilities for a wide range of applications. …”
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6
Modeling Teacher's Integrity Using Data Mining
Published 2010“…Thus, the aim of this study is to develop a model for teacher's integrity using data mining technique. …”
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7
Predicting next page access by Markov models and association rules on web log data
Published 2006“…This task requires the development of models that can predict a user’s next request to a web server. …”
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Context aware app recommendation using email semantic analysis
Published 2019“…The recommendation system is planned to develop by using data mining and machine learning. …”
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Final Year Project / Dissertation / Thesis -
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Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance
Published 2019“…Last but not least, some of the complex data mining tasks are not able to perform because of the limited algorithms and machine learning in Orange software.…”
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10
Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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11
Development Of Analytical Solution For Thermo-Mechanical Stresses Of Multilayered Pressure Vessel Based On Recursive Algorithm
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12
Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry
Published 2008“…We are in the progress of developing more decision support algorithms and modules in our future work.…”
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13
Using Markov Model and Association Rules for Web Access Prediction
Published 2006“…This task requires the development of models that can predicts a user’s next request to a web server. …”
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Application of target detection method based on convolutional neural network in sustainable outdoor education
Published 2023“…Next, the dataset of the specific underwater target image is further constructed. …”
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16
Implementation of Objects Recognition in Seismic Image via Artificial Neural Network (ANN)
Published 2012“…This project aims to develop a data mining algorithm embedded in a system that has ability to recognize the objects of channel and fault in seismic image. …”
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17
Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…Cluster and classification analysis are very interesting data mining topics that can be applied in many fields. …”
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18
Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib
Published 2019“…It proposes a strategy of Ranking-based Pruning of Items (RPI) for SNPs. Next, the development of Weighted Support Model (WSM) was done to search for interesting itemsets. …”
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Computerized Maintenance Management System for Food Processing Industries
Published 2007“…In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. This will provide good estimate to predict next failures. …”
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Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation
Published 2020“…There are several data mining tasks such as classification, clustering, prediction, summarization and others. …”
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