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What is Weka

Multi-Criteria Decision-Making Models for Website Evaluation
A software program which includes most of the widely used data mining algorithms and methods.
Published in Chapter:
Classification of the Usage of Wikipedia as a Tool of Teaching in Higher Education With Decision Tree Model
Cengiz Gazeloğlu (Suleyman Demirel University, Turkey), Zeynep Hande Toyganözü (Suleyman Demirel University, Turkey), Cüneyt Toyganözü (Suleyman Demirel University, Turkey), and Murat Kemal Keleş (Applied Sciences University of Isparta, Turkey)
Copyright: © 2019 |Pages: 20
DOI: 10.4018/978-1-5225-8238-0.ch003
Abstract
Wikipedia is a source that has been used at many universities around the world for students to gain some skills and be motivated positively. In higher education, some academicians have a positive view on the teaching usefulness of Wikipedia, and some of them are determined to use classical teaching. In this chapter, teaching use of Wikipedia in all faculty members of the Universitat Oberta de Catalunya are used as data. Then an entropy-based decision tree algorithm was developed. Wikipedia users and non-users are classified according to some aspects with this decision tree. Thus, it can be understood that whether Wikipedia has been used as a teaching tool by academicians or not. So, researchers can have information about the usefulness of Wikipedia in teaching and the intentions in use of it by academicians.
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More Results
Educational Data Mining Techniques and Applications
Weka work bench consists of several tools, algorithms and graphics methods that lead to the analysis and predictions.
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Ensemble of ANN for Traffic Sign Recognition
Collection of machine learning algorithms for solving data mining problems implemented in Java and open sourced under the GPL.
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Classification Techniques and Data Mining Tools Used in Medical Bioinformatics
An open source Java-based platform containing various machine learning algorithms.
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Automated Framework for Software Process Model Selection Based on Soft Computing Approach
Waikato Environment for Knowledge Analysis is a workbench which consists of an accumulation of visualization tools and algorithms for data analysis and predictive modeling, together with graphical client interfaces for simple access to these functions.
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Recognizing Physical Activities using Wearable Devices
It is an open source tool which has number of machine learning algorithms; data can be analyzed by using this tool.
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Learning Analytics in the Monitoring of Learning Processes: 3D Educational Collaborative Virtual Environments
Learning analytics tools which contains some visualization tools and machine learning algorithms for data mining tasks.
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Big Data Analytics: Educational Data Classification Using Hadoop-Inspired MapReduce Framework
WEKA means Waikato environment for knowledge analysis. It is a machine learning software written in Java, developed at the University of Waikato, New Zealand.
Full Text Chapter Download: US $37.50 Add to Cart
Full Text Chapter Download: US $37.50 Add to Cart
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