Search Results - (( _ application ((svm algorithm) OR (ccl algorithm)) ) OR ( based application mining algorithm ))*
Search alternatives:
- application mining »
- based application »
- mining algorithm »
- svm algorithm »
- ccl algorithm »
-
1
Logistic regression methods for classification of imbalanced data sets
Published 2012“…Hence, it is required to develop effective imbalanced LR-based methods to be widely used in data mining applications. …”
Get full text
Get full text
Thesis -
2
Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…In the modeling phase, amongst all DM algorithms, the applicability of machine learning, artificial intelligence and statistical data mining techniques were examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to detect the hidden patterns in vibration data. …”
Get full text
Get full text
Get full text
Thesis -
3
-
4
Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…The results of the study were conducted, based on the accuracy of SVM, which was 82.33% and C4.5 89.29 %%. …”
Get full text
Get full text
Conference or Workshop Item -
5
Classification with degree of importance of attributes for stock market data mining
Published 2004“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
Get full text
Get full text
Article -
6
Classification models for higher learning scholarship award decisions
Published 2018“…Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
Get full text
Get full text
Get full text
Article -
7
Optimizing sentiment analysis of Indonesian texts: Enhancing deep learning models with genetic algorithm-based feature selection
Published 2024“…This study examines the optimization of Indonesian text sentiment analysis through the integration of feature selection using a genetic algorithm (GA) with deep learning models. The application of GA for data dimensionality reduction from 41,140 to 20,769 features, coupled with fitness evaluation based on SVM, resulted in an observed increase in accuracy by 8.10% for SVM, 36.1% for Naïve Bayes, 7.82% for LSTM, 5.47% for DNN, and 6.25% for CNN. …”
Get full text
Get full text
Get full text
Article -
8
Predicting Customer Buying Decisions for Online Shopping with Unbalanced Data Set
Published 2022Get full text
Get full text
Final Year Project / Dissertation / Thesis -
9
-
10
-
11
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 -
12
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 -
13
Improved building roof type classification using correlation-based feature selection and gain ratio algorithms
Published 2017“…Of late, application of data mining for pattern recognition and feature classification is fast becoming an essential technique in remote sensing research. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
14
-
15
-
16
Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
Get full text
Get full text
Article -
17
Implementing BiSM and CCL algorithm for managing audio storage
Published 2012“…Therefore, this paper analyzed the issues and proposed a solution to manage the audio storage.The elements from biological inspired components were studied and identified to seek for the requirements of Bio-Inspired Storing Model (BiSM).Then a structural architecture of BiSM was designed in addition the Cognitive and Constructive Learning (CCL) algorithm was proposed.Finally, BiSM and CCL algorithm were evaluated with exemplar application settings and the results were presented in a case study of MP3 music collections.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Integrated ACOR/IACOMV-R-SVM Algorithm
Published 2017Get full text
Get full text
Get full text
Article -
19
Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…After choosing the optimal sensor combination for each soil property, the predictive capability was compared using different data mining algorithms, including support vector machines (SVM), random forest (RF), multivariate adaptive regression splines (MARS), and regression trees (CART). …”
Get full text
Get full text
Article -
20
Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
Get full text
Get full text
Conference or Workshop Item