Search Results - (( data estimation mining algorithm ) OR ( parameter estimation mead algorithm ))
Search alternatives:
- estimation mining »
- mining algorithm »
- data estimation »
- estimation mead »
- mead algorithm »
- parameter »
-
1
Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia
Published 2023“…Nelder-Mead outperforms the other optimization algorithm with the least error. …”
Get full text
Get full text
Get full text
Get full text
Article -
2
Tree-based contrast subspace mining method
Published 2020“…In addition, the tree-based method is extended to mine contrast subspaces of query object in categorical data. …”
Get full text
Get full text
Get full text
Thesis -
3
Poisson Transmuted Exponential Distribution For Count Data With Skewed, Dispersed And Excess Zero
Published 2024“…Different Moment-Based Mathematical Properties Of The New Proposed Distributions Are Obtained. Different Algorithms Are Used To Assess The Maximum Likelihood Estimates For The Parameters Of The Proposed Distributions.The Newton-Raphson And The Nelder-Mead, With Minimum Iterations For Convergence And Log-Likelihood Values, Provide Optimum Estimates. …”
Get full text
Get full text
Thesis -
4
-
5
Estimating 1-MCP application for Kampuchea guava with data mining technology
Published 2018“…In this preliminary study, data mining (DM) technology was utilized to achieve fast estimation of 1-MCP application based on different qualities of 'Kampuchea' Guava. …”
Get full text
Get full text
Get full text
Article -
6
Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
7
Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home
Published 2024Subjects:Conference Paper -
8
Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
Get full text
Get full text
Get full text
Proceeding Paper -
9
Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
Get full text
Get full text
Get full text
Article -
10
Simulation of COVID-19 outbreaks via graphical user interface (GUI)
Published 2021“…An improved SIRD model was solved via the 4th order Runge-Kutta (RK4) method and 14 unknown parameters were estimated by using Nelder- Mead algorithm and pattern-search technique. …”
Get full text
Get full text
Get full text
Article -
11
Datasets Size: Effect on Clustering Results
Published 2013“…This gives a wider acceptance to data mining, being an interdisciplinary field that implements algorithm on stored data with a view to discovering hidden knowledge. …”
Get full text
Get full text
Conference or Workshop Item -
12
Nonlinear partial differential equations model related to ethanol production
Published 2019“…Since the model is nonlinear partial differential equations (PDEs), Gear's algorithm, a numerical method was employed to solve the system while the Nelder-Mead method is utilised to estimate the value of the parameters. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
Get full text
Get full text
Get full text
Article -
14
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
Get full text
Get full text
Get full text
Article -
15
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
Get full text
Get full text
Get full text
Article -
16
A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
Get full text
Get full text
Get full text
Article -
17
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
Get full text
Get full text
Get full text
Thesis -
18
Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm
Published 2020“…We believe that the result could be better by improving the data, algorithms, algorithm tuning or ensemble methods for the future experiments…”
Get full text
Get full text
Get full text
Get full text
Article -
19
The discovery of Top-K DNA frequent patterns with approximate method / Nittaya Kerdprasop and Kittisak Kerdprasop
Published 2014“…We propose an approximate method based on the window sliding concept to estimate data density and obtain data characteristics from a small set of samples. …”
Get full text
Get full text
Get full text
Article -
20
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…Classification of imbalanced datasets remained a significant issue in data mining and machine learning (ML) fields. This research work proposed a new idea based on the optimization for handling the imbalanced datasets. …”
Get full text
Get full text
Thesis
