Search Results - (( based interactive method algorithm ) OR ( evolution classification mining algorithm ))
Search alternatives:
- evolution classification »
- classification mining »
- interactive method »
- method algorithm »
- mining algorithm »
-
1
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 -
2
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 -
3
Classification with degree of importance of attributes for stock market data mining
Published 2004“…The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
Get full text
Get full text
Article -
4
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 -
5
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
Get full text
Get full text
Thesis -
6
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 -
7
The development of deformable bodies collision response algorithm for interactive virtual environment
Published 2006“…Physical based deformation method usually suffers from high computation cost which does not favors practical interactive applications, even if the deformation only occurs in a small area of the deformable object. …”
Get full text
Get full text
Monograph -
8
An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective
Published 2023“…To integrate machine learning and human interactions, this paper develops a new three-stage interactive algorithm in business analytics, called the interactive Nautilus-based algorithm, to address complex problems. …”
Get full text
Get full text
Article -
9
Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…In this paper, we propose a new method based on prime number and its characteristics mainly for interactive mining of frequent patterns. …”
Get full text
Get full text
Article -
10
Prime-based method for interactive mining of frequent patterns
Published 2010“…As response to the above-mentioned challenges, this study is devoted towards developing an interactive mining method based on prime number and its special characteristic “uniqueness” by which the content of the relevant data is transformed into a compact layout. …”
Get full text
Get full text
Thesis -
11
-
12
An experimental study of modified black hole algorithms
Published 2018“…Ultimately, seven variants of BH algorithms are established based on the white hole, local search, and gravitational interaction. …”
Get full text
Get full text
Get full text
Thesis -
13
-
14
Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation
Published 2019“…This is called hybrid artificial bee colony (HABC) strategy, which is based on hybridize of an artificial bee colony (ABC) algorithm with a particle swarm optimization (PSO) algorithm. …”
Get full text
Get full text
Article -
15
How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm?
Published 2025“…An interactive image segmentation algorithm is employed, with a bounding box as the background and strokes as the foreground annotations. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
Segmentation of MRI brain images using statistical approaches
Published 2011“…The non-Local means (NL-means) algorithm is a state-of-the art neighbourhood-based noisereduction method which is time-consuming and its accuracy can be improved. …”
Get full text
Get full text
Thesis -
17
Web information retrieval (IR) interaction / Amirohaime Mahaidin
Published 2008“…Web information interaction retrieves the relevant website to user and applied stemming algorithm. …”
Get full text
Get full text
Thesis -
18
T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm
Published 2019“…In Combinatorial Input Interaction (CII) based system, the increasing number of input event causes the increasing number of test cases. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
A combinatory algorithm of univariate and multivariate gene selection
Published 2009“…Gene selection is usually based on univariate or multivariate methods. Univariate methods for gene selection cannot address interactions among multiple genes, a situation which demands the multivariate methods [1], [2]. …”
Get full text
Get full text
Get full text
Article -
20
Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm
Published 2020“…The ASED-based method provided better tracking performance than the SED method by obtaining the objective function’s lower values. …”
Get full text
Get full text
Thesis