Search Results - (( developing function mining algorithm ) OR ( learning content optimization algorithm ))
Search alternatives:
- content optimization »
- developing function »
- mining algorithm »
- learning content »
- function mining »
-
1
Tree-based contrast subspace mining method
Published 2020“…Then, the tree-based method, the genetic algorithm based parameter values identification of tree-based method, and followed by the genetic algorithm based tree-based method, for numerical data sets are developed and evaluated. …”
Get full text
Get full text
Get full text
Thesis -
2
The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
Published 2007“…This , paper discusses the development of data mining and pattern recognition algorithm to handle the complexity of hyperspectral remote sensing images in Geographical Information Systems environment. …”
Get full text
Get full text
Conference or Workshop Item -
3
Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…In addition, two novel optimization methods are developed and presented which are named the mine blast algorithm (MBA) and the water cycle algorithm (WCA). …”
Get full text
Get full text
Thesis -
4
Meta-Heuristic Algorithms for Learning Path Recommender at MOOC
Published 2021“…We have developed Metaheuristic algorithms includes the Genetic Algorithm (GA) and Ant Colony Optimization Algorithm (ACO), to solve the proposed model. …”
Get full text
Get full text
Article -
5
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.…”
Get full text
Get full text
Thesis -
6
An adaptive HMM based approach for improving e-Learning methods
Published 2023“…This adaptive algorithm can thus be applied to any e-learning platform for optimal content delivery to its users in real-time. © 2014 IEEE.…”
Conference Paper -
7
Data Mining Analysis Of Chronic Kidney Disease (CKD) Level
Published 2022“…Adding the uncertain class the best accuracy obtained was 98.5% using the SMO algorithm. A predictive classification model that determines the accuracy for three classification classes was developed accordingly using the SMO algorithm.…”
Get full text
Get full text
Monograph -
8
-
9
Web usage mining for UUM learning care using association rules
Published 2004“…With the powerful of data mining technique, Web usage mining approach has been combined with the basic Association Rules, Apriori Algorithm to optimize the content of the university E�Learning portal. …”
Get full text
Get full text
Thesis -
10
Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…Main resources, server log files become a set of raw data where it's must go through with all the Web usage mining technique, Web usage mining approach has been combined with the basic Association Rules, Apriori Algorithm to optimize the content of the university E-Learning portal. …”
Get full text
Get full text
Get full text
Thesis -
11
Context aware app recommendation using email semantic analysis
Published 2019“…The recommendation system is planned to develop by using data mining and machine learning. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
12
A new text-based w-distance metric to find the perfect match between words
Published 2020“…The k-NN algorithm is an instance-based learning algorithm which is widely used in the data mining applications. …”
Get full text
Get full text
Article -
13
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. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Stock price monitoring system
Published 2024“…Consequently, Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to evaluate the performance of the prediction algorithms. The methodology used in this project is Cross-Industry Standard Process for Data Mining (CRISP-DM), which is a common standard for data mining projects. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
15
Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…An efficient iterative algorithm is developed to optimize the objective function of the proposed algorithm since it is non-smooth and difficult to solve. …”
Get full text
Get full text
Get full text
Thesis -
16
-
17
Prediction Of Leaf Mechanical Properties Based On Geometry Features With Data Mining
Published 2019“…The linear models and rules developed from the M5P algorithm were adopted for the FT indicator prediction modelling of 14 attributes. …”
Get full text
Get full text
Thesis -
18
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. …”
Get full text
Get full text
Thesis -
19
Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024“…In this paper, the optimised Apriori association rule algorithm is used as technical support to realise the function of interlocking fault diagnosis in the intelligent fault diagnosis system module. …”
Article -
20