Search Results - (( using classification techniques algorithm ) OR ( evolution classification mining algorithm ))
Search alternatives:
- evolution classification »
- classification mining »
- using classification »
- mining algorithm »
- techniques »
-
1
Classification with degree of importance of attributes for stock market data mining
Published 2004“…Many statistical and data mining techniques have been used to predict time series stock market. …”
Get full text
Get full text
Article -
2
Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. …”
Get full text
Get full text
Get full text
Proceeding Paper -
3
Application of data mining techniques for economic evaluation of air pollution impact and control
Published 2007“…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
Get full text
Get full text
Thesis -
4
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…The proposed algorithm is grounded on the two famous metaheuristic algorithms: cuckoo search (CS) and covariance matrix adaptation evolution strategy (CMA-es). …”
Get full text
Get full text
Thesis -
5
Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…Additionally, the proposed Hybrid Differential Evolution Algorithm was implemented into the training phase to ensure that the cost function of the Discrete Hopfield Neural Network is minimized. …”
Get full text
Get full text
Thesis -
6
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 -
7
Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…All of the reviewed techniques have their advantages and disadvantages and useful to solve the classification problems. …”
Get full text
Get full text
Get full text
Article -
8
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 -
9
Overview of metaheuristic: classification of population and trajectory
Published 2010“…Algorithms are used to find the solutions through the computer program. …”
Get full text
Get full text
Monograph -
10
A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…Gene Selection Plays An Important Role Prior To Tissue Classification. In This Paper, A Study On Numerous Combinations Of Gene Selection Techniques And Classification Algorithms For Classification Of Microarray Gene Expression Data Is Presented. …”
Get full text
Get full text
Get full text
Article -
11
Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…Implementing this process uses classification algorithms such asNaïve Bayes, Support Vector Machine,and Random Forest. …”
Get full text
Get full text
Get full text
Article -
12
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 -
13
An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…The forms of urban growth can be simulated using satellite remote sensing data and suitable classification technique. …”
Get full text
Get full text
Thesis -
14
-
15
An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…An investigative study was undertaken to assess the efficiency of EB and EW by evaluating their classification performance using Naive Bayes and K-nearest neighbor algorithms on four continuous datasets sourced from the UCI datasets. …”
Get full text
Get full text
Get full text
Article -
16
An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…An investigative study was undertaken to assess the efficiency of EB and EW by evaluating their classification performance using Naive Bayes and K-nearest neighbor algorithms on four continuous datasets sourced from the UCI datasets. …”
Get full text
Get full text
Get full text
Article -
17
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 -
18
A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…It is designed to incorporate with the CAPSOCA algorithm which intended to strengthen the classification outcomes. …”
Get full text
Get full text
Thesis -
19
Machine learning-based leukemia classification using gene expression for accurate diagnosis
Published 2025“…Various ML techniques have been used here for classification. …”
Get full text
Get full text
Get full text
Proceeding Paper -
20
Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Support Vector Machine (SVM) is among the popular learning algorithm for classification in soft computing techniques. …”
Get full text
Get full text
Research Reports
