Search Results - (( matrix classifications using algorithm ) OR ( java implementation mining algorithm ))
Search alternatives:
- matrix classifications »
- classifications using »
- implementation mining »
- java implementation »
- mining algorithm »
- using algorithm »
-
1
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
Get full text
Get full text
Thesis -
2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
Get full text
Get full text
Get full text
Article -
3
Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
Get full text
Get full text
Conference or Workshop Item -
4
Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
Get full text
Get full text
Conference or Workshop Item -
5
A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
6
Study on numerical solution of a variable order fractional differential equation based on symmetric algorithm
Published 2019“…A fully symmetric classification of the boundary value problem for a class of fractional differential equations with variable sequences is determined by using a fully symmetric differential sequence sorting algorithm. …”
Get full text
Get full text
Get full text
Article -
7
Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
Comparison of supervised classification technique of landuse map using high resolution image / Muhammad Firdaus Mohammad Harun
Published 2019“…The algorithm were used to perform the supervised classification. …”
Get full text
Get full text
Thesis -
9
Land Cover Mapping in Jeli Using Selected Classification Algorithms
Published 2013“…The best classification algorithm found and appointed in this research is Maximum Likelihood Classification (MLC). …”
Get full text
Undergraduate Final Project Report -
10
Automatic classification of medical x-ray images
Published 2013“…Experimental results showed the classification performance obtained by exploiting LBP and BoW outperformed the other algorithms with respect to the image representation techniques used.…”
Get full text
Get full text
Article -
11
Facial expression type recognition using K-Nearest Neighbor algorithm / Norhafizah Saffian
Published 2017“…The k-Nearest Neighbor classifier is applied as the classification algorithm. The confusion matrix calculation is used to measure the accuracy of k-NN classifier. …”
Get full text
Get full text
Thesis -
12
IMPLEMENTATION OF IMAGE TEXTURE ANALYSIS USING NEIGHBORHOOD GREY TONE DIFFERENT MATRIX METHOD
Published 2006“…In recent studies, the texture classification and discrimination usually approached by using statistical analysis. …”
Get full text
Get full text
Final Year Project -
13
Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The elements extracted from the confusion matrix parameters (i.e. accuracy, specificity, sensitivity, AUC, precision and f-score) are used in benchmarking the optimal performance of classification algorithms. …”
Get full text
Get full text
Thesis -
14
A Preliminary Study of Wood Species Classifacation System Based on Wood Knot Texture Using K-Nearest Neighbour With Optimized Features From Binary Magnetic Optimization Algorithm S...
Published 2013“…The features of the wood knot images are extracted using Gray Level Co-Occurrence Matrix. Binary Magnetic Optimization Algorithm is use to optimize the feature selection process. …”
Get full text
Get full text
Conference or Workshop Item -
15
Comparative study of machine learning algorithms in data classification
Published 2025“…This research conducts a comparative study of various machine learning algorithms for dataset classification to identify the most accurate and reliable classifier. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
16
On equivalence of FIS and ELM for interpretable rule-based knowledge representation
Published 2023Article -
17
EEG Spectrogram Classification Employing ANN for IQ Application
Published 2013“…Then, Principal Component Analysis (PCA) is used to reduce the big matrix, and is followed with the classification of the EEG spectrogram image in IQ application using ANN algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Classification of EEG Spectrogram Using ANN for IQ Application
Published 2013Get full text
Get full text
Conference or Workshop Item -
19
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
20
Classification of Citrus (Rutaceae) by Using Image Processing
Published 2019“…This research will be conducted by using digital image processing approach based on the morphological features of leaf with the combination of gray level co-occurrence matrix (GLCM), Prewitt and Canny algorithm and training classification models by using support vector machine (SVM). …”
Get full text
Get full text
Undergraduate Final Project Report
