scholarly journals Subgroup Discovery Method with Internal Disjunctive Expression

2017 ◽  
Vol 22 (1) ◽  
pp. 23-32
Author(s):  
Seyoung Kim ◽  
Kwang Ryel Ryu
Keyword(s):  
Subgroup Discovery ◽  
Discovery Method

scholarly journals Using Learning Analytics to Identify Medical Student Misconceptions in an Online Virtual Patient Environment

2015 ◽  
Vol 20 (2) ◽  
Author(s):  
Eric G Poitras ◽  
Laura Naismith ◽  
Tenzin Doleck ◽  
Susanne P Lajoie
Keyword(s):  
Medical Student ◽  
Multiple Choice ◽  
Virtual Patient ◽  
Second Step ◽  
Subgroup Discovery ◽  
Student Knowledge ◽  
User Interactions ◽  
Student Misconceptions ◽  
Multiple Choice Items ◽  
Discovery Method

This study aimed to identify misconceptions in medical student knowledge by mining user interactions in the MedU online learning environment. Data from 13000 attempts at a single virtual patient case were extracted from the MedU MySQL database. A subgroup discovery method was applied to identify patterns in learner-generated annotations and responses to multiple-choice items on the diagnosis and management of acute myocardial infarction (i.e., heart attack). First, the algorithm generated rules where single terms from the learner annotations were used to predict incorrect answers to the multiple-choice items. Second, the possible combinations of terms and their relevant synonyms were used to determine whether their inclusion led to better rates of prediction. The second step was found to significantly increase prediction precision and weighted relative accuracy, uncovering four misconceptions at a rate greater than 70%. These findings serve to inform the design of an adaptive system that tailors the delivery of formative feedback to promote better learning outcomes in the domain of clinical reasoning.

THE INFLUENCE OF INQUIRY AND DISCOVERY LEARNING METHOD AND CREATIVITY LEVEL IN WRITING SKILLS DESCRIPTION IN NAUTIC TARUNA AND TECHNIQUE IN SURABAYA SHIPPING POLYTECHNIC

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Ni Putu Dian Permata Prasetyaningrum
Keyword(s):  
Quantitative Methods ◽  
Writing Skills ◽  
Discovery Learning ◽  
Learning Method ◽  
Test Results ◽  
Learning Methods ◽  
Is Research ◽  
Investigation Methods ◽  
High Level ◽  
Discovery Method

Surabaya Shipping Polytechnic emphasizes on certain areas of expertise that Taruna must possess. This is the basis after graduating from shipping polytechnics, cadets must have expertise and skills. The purpose of this study was to study the effect of inquiry, discovery learning, and creativity levels on the ability to write descriptive essays on nautical and technical cadets at Surabaya Shipping Polytechnic. This type of research is research. This research uses quantitative methods using experiments. The location used in this research is Surabaya Shipping Polytechnic. The subjects in this study were the cadets of the Nautika A, Nautika B, Teknika A, and Teknika B. classes. Based on the results of the research and discussion, the following conclusions are obtained: There are those that can be solved looking for description essays in the cadets. learning discovery method. The test results show better investigation methods than the discovery of learning, There is a difference in the ability to write a description essay about cadets who have a high level of creativity with cadets who have a low level of creativity, the test results show better who have a high level of creativity, there are related with learning methods and descriptions of the ability to write essay descriptions, the test results show learning methods and creativity descriptions of the ability to write essay descriptions.

Community Discovery Method in Networks Based on Topological Potential

2009 ◽  
Vol 20 (8) ◽  
pp. 2241-2254 ◽  
Author(s):  
Wen-Yan GAN ◽  
Nan HE ◽  
De-Yi LI ◽  
Jian-Min WANG
Keyword(s):  
Community Discovery ◽  
Discovery Method

scholarly journals An IOTA-Based Service Discovery Framework for Fog Computing

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 844
Author(s):  
Tsung-Yi Tang ◽  
Li-Yuan Hou ◽  
Tyng-Yeu Liang
Keyword(s):  
Service Discovery ◽  
Fog Computing ◽  
Cost Effective ◽  
Public Access ◽  
Hash Tables ◽  
Network Attacks ◽  
Comprehensive Information ◽  
Data Flows ◽  
Multiple Levels ◽  
Discovery Method

With the rise in fog computing, users are no longer restricted to only accessing resources located in central and distant clouds and can request services from neighboring fog nodes distributed over networks. This can effectively reduce the network latency of service responses and the load of data centers. Furthermore, it can prevent the Internet’s bandwidth from being used up due to massive data flows from end users to clouds. However, fog-computing resources are distributed over multiple levels of networks and are managed by different owners. Consequently, the problem of service discovery becomes quite complicated. For resolving this problem, a decentralized service discovery method is required. Accordingly, this research proposes a service discovery framework based on the distributed ledger technology of IOTA. The proposed framework enables clients to directly search for service nodes through any node in the IOTA Mainnet to achieve the goals of public access and high availability and avoid network attacks to distributed hash tables that are popularly used for service discovery. Moreover, clients can obtain more comprehensive information by visiting known nodes and select a fog node able to provide services with the shortest latency. Our experimental results have shown that the proposed framework is cost-effective for distributed service discovery due to the advantages of IOTA. On the other hand, it can indeed enable clients to obtain higher service quality by automatic node selection.

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