Search Results - (( web application ((tree algorithm) OR (new algorithm)) ) OR ( _ applications ant algorithm ))
Search alternatives:
- applications ant »
- web application »
- tree algorithm »
- _ applications »
- new algorithm »
- ant algorithm »
-
1
A new ant based rule extraction algorithm for web classification
Published 2011Get full text
Get full text
Get full text
Get full text
Monograph -
2
Comparison of attribute selection methods for web texts categorization
Published 2010Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
Published 2014Get full text
Get full text
Get full text
Conference or Workshop Item -
4
A Data Mining Approach to Construct Graduates Employability Model in Malaysia
Published 2024Get full text
journal::journal article -
5
-
6
-
7
Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich online information and provides various new sources of knowledge. …”
Get full text
Get full text
Thesis -
8
Car dealership web application
Published 2022“…Thus, explainable AI and AI monitoring become the integral components for any new development of commercial applications, including used car dealership web application. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
9
An optimized attack tree model for security test case planning and generation
Published 2018“…This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. …”
Get full text
Get full text
Article -
10
Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
Get full text
Get full text
Article -
11
Ant colony optimization in dynamic environments
Published 2010“…In order to achieve this objective, six ant algorithms namely Ant System (AS), Ant Colony System (ACS), Best-Worst Ant System (BWAS), Elitist Ant System (EAS), Max-Min Ant System (MMAS) and Rank-Based Ant System (RBAS) were implemented to solve a dynamic optimization problem in the form of the dynamic Traveling Salesman Problem (TSP). …”
Get full text
Get full text
Get full text
Thesis -
12
-
13
An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Interacted Multiple Ant Colonies for Search Stagnation Problem
Published 2010“…Ant Colony Optimization (ACO) is a successful application of swarm intelligence. …”
Get full text
Get full text
Get full text
Thesis -
15
An Enhanced Ant Colony Optimisation Algorithm with the Hellinger Distance for Shariah-Compliant Securities Companies Bankruptcy Prediction
Published 2024“…The application of ant colony optimization (ACO) algorithms has been limited by their performance on imbalanced datasets, particularly within bankruptcy prediction where the some of bankruptcy cases lead to skewed data distributions. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
Published 2008Get full text
Get full text
Get full text
Conference or Workshop Item -
17
-
18
-
19
Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
Get full text
Get full text
Monograph -
20
