Search Results - (( tourist destination based algorithm ) OR ( _ classification using algorithm ))
Search alternatives:
- classification using »
- tourist destination »
- destination based »
- _ classification »
- using algorithm »
-
1
Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin
Published 2020“…This study will perform sentiment analysis on national cultural tourism of tourists reviews on TripAdvisor website. The study will identify sentiment analysis tasks based on classification model. …”
Get full text
Get full text
Thesis -
2
Modeling tourism movements and sentiments using spatial analysis based on social media big data
Published 2023“…Kota Kinabalu’s tourist destinations and attention are distributed in the southwestnortheast direction. …”
Get full text
Get full text
Get full text
Thesis -
3
AUTOMATIC ROUTE FINDER FOR NEW VISITORS
Published 2006“…Shortest path finding algorithms are necessary in road network of a city or country for tourists and visitors. …”
Get full text
Get full text
Final Year Project -
4
-
5
Ant Colony Optimization for Tourist Route
Published 2005Get full text
Get full text
Get full text
Thesis -
6
A Multi-Criteria Recommendation Technique for Personalized Tourism Experiences
Published 2025“…Recommendation systems use algorithms to analyze user data and provide personalized recommendations based on their past behaviour and preferences. …”
Get full text
Get full text
Get full text
Thesis -
7
Malaysia network transit route adviser system
Published 2010“…MANTRA using Dijkstra's Algorithm to realize these functions. frIANTRA 98% successfully to advice the tourist goes to the destination using Malaysia Transit.…”
Get full text
Get full text
Undergraduates Project Papers -
8
An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…The urban growth images obtained are analysed to improve existing classification algorithms. The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
Get full text
Get full text
Thesis -
9
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…The comparison showed that, the accuracy of the unsupervised classification map with value of 88.4% that was generated by using the cluster labelling algorithm was slightly more than the maximum-likelihood supervised classification map with value of 87.5%. …”
Get full text
Get full text
Thesis -
10
Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems.…”
Get full text
Get full text
Thesis -
11
Classification of tropical rainforest using different classification algorithm based on remote sensing imagery: A study of Gunung Basor
Published 2019“…Thehighest accuracy for classification map of Gunung Basor is by using maximum likelihood algorithm with an accuracy of 82.90%. …”
Get full text
Get full text
Undergraduate Final Project Report -
12
ABC: android botnet classification using feature selection and classification algorithms
Published 2017“…The Information Gain algorithm is used to select the most significant permissions, then the classification algorithms Naïve Bayes, Random Forest and J48 used to classify the Android apps as botnet or benign apps. …”
Get full text
Get full text
Article -
13
Case Slicing Technique for Feature Selection
Published 2004“…Case Slicing Technique (CST) helps in identifying the subset of features used in computing the similarity measures needed by classification algorithms. …”
Get full text
Get full text
Thesis -
14
Development of a fingerprint gender classification algorithm using fingerprint global features
Published 2016“…This algorithm is highly recommended in extracting a fingerprint global feature for gender classification process.…”
Get full text
Get full text
Get full text
Article -
15
A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Third, using a modified k-Nearest Neighbor method as well as an improved method of backpropagation neural networks, the classification process was advanced based on optimum arrays of the features selected by genetic algorithms. …”
Get full text
Get full text
Get full text
Article -
16
An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…Recognizing the critical role of discretization in enhancing classification performance, the study integrates equal width binning (EWB) with two optimization algorithms: the bat algorithm (BA), referred to as EB, and the whale optimization algorithm (WOA), denoted as EW. …”
Get full text
Get full text
Get full text
Article -
17
An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…Recognizing the critical role of discretization in enhancing classification performance, the study integrates equal width binning (EWB) with two optimization algorithms: the bat algorithm (BA), referred to as EB, and the whale optimization algorithm (WOA), denoted as EW. …”
Get full text
Get full text
Get full text
Article -
18
Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd
Published 2022“…Classification is a data mining technique used to classify varied data types according to a specific criterion. …”
Get full text
Get full text
Thesis -
19
A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Published 2013“…In the first proposed algorithm, SA is used to optimize the rule's discovery activity by an ant. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
20
Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…The fourth and fifth algorithms, Concept Feature Vector_Text Classification (CFV_TC) and Structure Feature Vector_Text Classification (SFV_TC) classify the document to its related set of classes. …”
Get full text
Get full text
Get full text
Thesis
