Search Results - (( its application path algorithm ) OR ( based application bayes algorithm ))*
Search alternatives:
- based application »
- application bayes »
- application path »
- its application »
- bayes algorithm »
- path algorithm »
-
1
Text Categorization Using Naive Bayes Algorithm
Published 2005Get full text
Get full text
Get full text
Thesis -
2
Text categorization using naive bayes algorithm
Published 2006Get full text
Get full text
Conference or Workshop Item -
3
-
4
IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION
Published 2018“…Thus, the A* algorithm is implemented in a small mobile robot, this is to see its effectiveness in real world application. …”
Get full text
Get full text
Final Year Project -
5
A Data Mining Approach to Construct Graduates Employability Model in Malaysia
Published 2024Get full text
journal::journal article -
6
Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
Published 2024“…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
Get full text
Get full text
Thesis -
7
-
8
-
9
-
10
An experiment on the performance of shortest path algorithm
Published 2016Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Applying learning to filter text
Published 2005“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
Get full text
Get full text
Conference or Workshop Item -
12
-
13
-
14
Performance comparison of a and Dijkstra algorithms with bézier curve in 2D grid and OpenStreetMap scenarios
Published 2025“…On the other hand, Dijkstra's algorithm, though robust and optimal, exhibited longer runtimes and produced paths with more turns due to its exhaustive search approach. …”
Get full text
Get full text
Get full text
Article -
15
-
16
Divorce prediction using Naive Bayes / Alia Hannani Ahmad Bakri
Published 2024“…The study focuses on developing a divorce prediction system using the Naive Bayes algorithm, a widely used classifier. The system achieved 98% accuracy in predicting divorce based on a comprehensive dataset. …”
Get full text
Get full text
Thesis -
17
-
18
Comparison of path planning in simulated robot
Published 2020“…This is because each path planning algorithm has its own applicable domain, performance, advantages and disadvantages in various situations. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…This thesis also provides an explanation about the advantages. functions, characteristics. the degree of complexity in A • algorithm and its implementation in real-world application. …”
Get full text
Get full text
Thesis -
20
Anomaly-based intrusion detection through K-means clustering and naives Bayes classification
Published 2013Get full text
Get full text
Get full text
Conference or Workshop Item
