Search Results - (( java selection mining algorithm ) OR ( program visualization clustering algorithm ))
Search alternatives:
- visualization clustering »
- selection mining »
- mining algorithm »
- java selection »
-
1
Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…Sequential pattern mining is a new branch of data, mining science that solves inter-transaction pattern mining problems. …”
Get full text
Thesis -
2
Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…Sequential pattern mining is a new branch of data, mining science that solves inter-transaction pattern mining problems. …”
Get full text
Get full text
Thesis -
3
-
4
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
Get full text
Get full text
Thesis -
5
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
Get full text
Get full text
Thesis -
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
Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure
Published 2019“…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
Get full text
Get full text
Get full text
Article -
9
STATISTICAL FEATURE LEARNING THROUGH ENHANCED DELAUNAY CLUSTERING AND ENSEMBLE CLASSIFIERS FOR SKIN LESION SEGMENTATION AND CLASSIFICATION
Published 2021“…Moreover, skin lesion images are clustered based on fused color, pattern and shape based features. …”
Get full text
Get full text
Get full text
Article -
10
A coverage path planning approach for autonomous radiation mapping with a mobile robot
Published 2023Article -
11
Facilitating resource allocation decision through Bibliomining: the case of UTM's library / Md Razib Karno
Published 2015“…The data mining technique was adopted to explore the relationship among statistically patterned and clustered bibliographic data. Bibliomining are tools that can visualize how libraries manage their costs, staff activity, customer service, user needs, marketing, popular books, circulation, reference transaction, quality of collection, educational programs etc. …”
Get full text
Get full text
Thesis -
12
Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)
Published 2024“…Weka is a strong data mining and machine learning program including algorithms for data preparation, classification, regression, clustering, and visualization. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
Bottleneck-based heuristic for permutation flowshop scheduling
Published 2017“…There are four potential dominant machines (M1, M2, M3, M4) clustered as bottleneck machines. A total 1000 set random processing time for each job sizes was tested using Excel simple programming with built in Visual Basic for Application (VBA). …”
Get full text
Get full text
Get full text
Get full text
Thesis
