Search Results - (( parameter optimization based algorithm ) OR ( data classification tree algorithm ))
Search alternatives:
- parameter optimization »
- data classification »
- classification tree »
- tree algorithm »
-
1
Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
Get full text
Get full text
Get full text
Thesis -
2
Intrusion Detection Systems, Issues, Challenges, and Needs
Published 2021“…However, these algorithms suffer from many lacks especially when apply to detect new type of attacks, and need for new algorithms such as JAYA algorithm, teaching learning-based optimization algorithm (TLBO) algorithm is arise. …”
Get full text
Get full text
Get full text
Article -
3
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…Then, the classifier (support vector machine (SVM) and data mining (DM) algorithm, decision tree (DT) were applied on each fusion image and their accuracy were evaluated. …”
Get full text
Get full text
Thesis -
4
Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The segmentation process was optimized using Fuzzy-based Segmentation Parameter. …”
Get full text
Get full text
Get full text
Thesis -
5
Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration
Published 2014“…This new algorithm was developed to overcome the subjectivity of the manual categorization of scale data of landslide conditioning factors, and to predict rainfall-induced susceptibility map in Kuala Lumpur city and surrounding areas using geographic information system (GIS). …”
Get full text
Get full text
Conference or Workshop Item -
6
Artificial intelligence system for pineapple variety classification and its quality evaluation during storage using infrared thermal imaging
Published 2022“…The results showed that the support vector machine achieved the best performance from the combination of optimal image parameters with the highest classification rate of 100 %. …”
Get full text
Get full text
Thesis -
7
Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach
Published 2025“…The descriptive analysis examines purchasing behavior through correlation and regression analyses, while the predictive model uses decision trees (J48, Random Tree, REPTree), rule-based algorithms (JRip, OneR, PART), and clustering (K-Means) to identify patterns and predict trends. …”
Get full text
Get full text
Thesis -
8
Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd
Published 2022“…The study verified that the FID3-DBD algorithm could classify the continuous data, and the BFID3-DBD algorithm overcame the overfitting issue, reduced high variance, and increased test data classification accuracy.…”
Get full text
Get full text
Thesis -
9
Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…Decision tree is an important method in data mining to solve the classification problems. …”
Get full text
Get full text
Get full text
Article -
10
Phylogenetic tree classification system using machine learning algorithm
Published 2015“…A study is conducted to develop an automated phylogenetic tree image classification system by using machine learning algorithm. …”
Get full text
Get full text
Get full text
Final Year Project Report / IMRAD -
11
Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
Get full text
Get full text
Get full text
Article -
12
Case Slicing Technique for Feature Selection
Published 2004“…Since the 1960s, many algorithms for data classification have been proposed. …”
Get full text
Get full text
Thesis -
13
A novel decision tree searcidng algorithm for high speed online traffic classification
“…As such, this section describes and discusses the research methodology employed in both designing and evaluating a novel decision tree searching algorithm for high speed online traffic classification…”
Get full text
Get full text
Research Book Profile -
14
Effective k-Means Clustering in Greedy Prepruned Tree-based Classification for Obstructive Sleep Apnea
Published 2022“…Incorporation of prepruned decision trees to kmeans clustering through one to three types of tree-depth controllers and cluster partitioning was done to develop a combined algorithm named as Greedy Pre-pruned Treebased Clustering (GPrTC) algorithm. …”
Get full text
Get full text
Get full text
Article -
15
An extended ID3 decision tree algorithm for spatial data
Published 2011“…Utilizing data mining tasks such as classification on spatial data is more complex than those on non-spatial data. …”
Get full text
Get full text
Conference or Workshop Item -
16
-
17
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Published 2021“…This study aims to resolve the limitation of an existing method, ID3 algorithm that unable to classify the continuous-valued data and increase the classification accuracy of the decision tree. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
Published 2014“…In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. …”
Get full text
Conference or Workshop Item -
19
A Data Mining Approach to Construct Graduates Employability Model in Malaysia
Published 2024Get full text
Article -
20
Optimized tree-classification algorithm for classification of protein sequences
Published 2016“…In this work, we have proposed an optimized tree-classification technique which uses cluster k nearest neighbor classification algorithm to classify protein sequences into superfamilies. …”
Get full text
Get full text
Conference or Workshop Item
