Search Results - (( java implementation learning algorithm ) OR ( program learning rules algorithm ))
Search alternatives:
- implementation learning »
- java implementation »
- learning algorithm »
- program learning »
- rules algorithm »
- learning rules »
-
1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
Get full text
Get full text
Get full text
Thesis -
2
Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network
Published 2019“…As the number of 2SAT clauses increased, the efficiency and effectiveness of the learning phase in HNN deteriorates. Swarm intelligence metaheuristic algorithm has been introduced to reduce the learning complexity of the network. …”
Get full text
Get full text
Thesis -
3
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
Get full text
Get full text
Thesis -
4
Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis
Published 2017Get full text
Get full text
Thesis -
5
Fuzzy rules reduction using rough set approach
Published 2003“…The purpose of modeling the student is to evaluate the students conceptual understanding (i.e. performance level and learning efficiency) in learning C programming language. …”
Get full text
Conference or Workshop Item -
6
Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm
Published 2024“…The Rule Base algorithm is used to classify students based on their learning style characteristics. …”
Get full text
Get full text
Get full text
Get full text
Article -
7
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
Get full text
Get full text
Thesis -
8
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
Get full text
Get full text
Get full text
Thesis -
10
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
Get full text
Get full text
Get full text
Thesis -
11
Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…The paper focuses on prediction of student learning performance in object oriented programming course using data mining technique based on a dataset obtained from Kolej Poly-Tech Mara (KPTM), Kuantan. …”
Get full text
Get full text
Conference or Workshop Item -
12
Applying case reuse and Rule-Based Reasoning (RBR) in object-oriented application framework documentation: Analysis and design
Published 2023Conference Paper -
13
An investigation into influence factor of student programming grade using association rule mining
Published 2010“…This finding can be a guideline to the faculty to plan a teaching and learning program for new registered student.…”
Get full text
Get full text
Get full text
Article -
14
-
15
Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
Published 2014“…Apriori is a popular algorithm in finding frequent set of items in data and association rule. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
16
-
17
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
Get full text
Get full text
Thesis -
18
Propositional satisfiability method in rough classification modeling for data mining
Published 2002“…The classification accuracy, the number of rules and the maximum length of rules obtained from the SIPIDRIP method was compared with other rough set method such as Genetic Algorithm (GA), Johnson, Holte l R, Dynamic and Exhaustive method. …”
Get full text
Get full text
Thesis -
19
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. …”
Get full text
Get full text
Thesis -
20
Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin
Published 2023“…It encompasses different types, such as rule-based AI using if-then statements for decision-making, machine learning which employs algorithms to analyze and learn from data, and deep learning utilizing artificial neural networks to learn from extensive datasets. …”
Get full text
Get full text
Get full text
Article
