scholarly journals Members’ Behavior in Virtual Learning Community: A Study Using Data Mining Approach

2014 ◽  
Vol 7 (4) ◽  
Author(s):  
Xiaokang Li ◽  
Yu Nie ◽  
Min Chen ◽  
Xiaoqing Liu ◽  
Xiaolei Liu
Keyword(s):  
Data Mining ◽  
Learning Community ◽  
Virtual Learning ◽  
Virtual Learning Community ◽  
Data Mining Approach ◽  
Using Data

scholarly journals Members’ Behavior in Virtual Learning Community: A Study Using Data Mining Approach

2014 ◽  
Vol 7 (4) ◽  
pp. 1
Author(s):  
Xiaokang Li ◽  
Yu Nie ◽  
Min Chen ◽  
Xiaoqing Liu ◽  
Xiaolei Liu
Keyword(s):  
Data Mining ◽  
Learning Communities ◽  
Learning Community ◽  
Association Rule ◽  
Rule Learning ◽  
Virtual Learning ◽  
Analysis Method ◽  
Virtual Learning Community ◽  
Knowledge Analysis ◽  
Quantitative Analysis Method

Purpose: With the development of information technology, online virtual learning community is on its way to become an important approach for people to construction and sharing of knowledge. Researches on virtual learning community are not only important to the establishment and management of virtual learning community itself, but are helpful for people’s quest for the future development of online learning. However, current researches related to the virtual learning community are in inadequacy, and especially the application of quantitative analysis method for research is rarely seen. Using quantitative analysis method of data mining to study members’ behavior in online learning communities. Method: In this article, the discussion data (posts) from five online English virtual learning communities in China are sampled and colleted. These data were processed according to a series of guidelines to obtain proper data documents, and these data documents were opened under Waikato Environment for Knowledge Analysis and then carried out preprocessing. Next, the module of association rule learning in Waikato Environment Knowledge Analysis were used to perform mining on these processed data, and obtained a series of potential behavior rules in these communities. The partial rules have been listed in the article with their meaning analyzed. Findings: The result shows that in this setting it is feasible to apply the association rule learning to virtual learning community. Value: It provides approaches and lays the foundation for future relevant studies.

A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities

2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi
Keyword(s):  
Data Mining ◽  
Product Family ◽  
Research Direction ◽  
Design Constraints ◽  
Variant Design ◽  
Data Mining Approach ◽  
Design Activities ◽  
Using Data ◽  
New Research

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.

scholarly journals ANALYSIS OF THESIS ADVISING PATTERN IN MASTER PROGRAM ON FACULTY OF AGRICULTURE IPB USING DATA MINING APPROACH

Edulib ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. 194
Author(s):  
Lilis Syarifah ◽  
Imas Sukaesih Sitanggang ◽  
Pudji Muljono
Keyword(s):  
Data Mining ◽  
Upland Rice ◽  
Future Research ◽  
Rule Mining ◽  
Related Item ◽  
Text Documents ◽  
Master Program ◽  
R Language ◽  
Data Mining Approach ◽  
Using Data

The thesis is student study report which is accomplished as a requirement of graduation for Master program. Selecting study’s topic and advisors influence implementation of the study. Therefore, study’s topic is able to improve academic institution quality, however a large number of thesis documents on the repository cause difficulty to get information related to advisor’s expertness and the frequent or rare topic is former studied. Association rule mining can be used to mine information on the related item. This study aims to analyze advising patterns system in Master program on Agriculture based on supervisors and their topic research on metadata thesis of IPB repository and text documents of summary using data mining approach. The datas were collected from the repository of Bogor Agricultural University website and processed using R language programming. Pattern result of the reseach were that the most popular association on supervisor was occurred at support value of 0.00793 or equivalent to 7 theses and four popular topics were Botanical insecticide, Global warming, Upland Rice, and Land Use Change. The analysis result could be useful information to be reference or suggest future research or appropriate supervisor among agricultural.

Virtual Learning Community Perceptions and Intentions Questionnaire

2003 ◽  
Author(s):  
Hock-Hai Teo ◽  
Hock-Chuan Chan ◽  
Kwok-Kee Wei ◽  
Zhongju Zhang
Keyword(s):  
Learning Community ◽  
Virtual Learning ◽  
Community Perceptions ◽  
Virtual Learning Community

Virtual Learning Community Services Survey

2017 ◽  
Author(s):  
Min Zhang ◽  
Yupei Liu ◽  
Weiwei Yan ◽  
Yan Zhang
Keyword(s):  
Learning Community ◽  
Virtual Learning ◽  
Community Services ◽  
Virtual Learning Community
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