scholarly journals Discovering Performance Evaluation Features of faculty Members using Data Mining Techniques to Support Decision Making

2019 ◽  
Vol 178 (49) ◽  
pp. 25-29
Author(s):  
Amani M. ◽  
Shaimaa Salama
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Performance Evaluation ◽  
Faculty Members ◽  
Data Mining Techniques ◽  
Using Data ◽  
Support Decision Making

Using Data Mining Techniques to Discover Patterns in an Airline's Flight Hours Assignments

2021 ◽  
pp. 107-126
Author(s):  
Francisco Javier Villar Martín ◽  
Jose Luis Castillo Sequera ◽  
Miguel Angel Navarro Huerga
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information System ◽  
Predictive Modeling ◽  
Data Model ◽  
Free Software ◽  
Data Mining Techniques ◽  
Visualization Tools ◽  
Using Data

The quality of a company's information system is essential and also its physical data model. In this article, the authors apply data mining techniques in order to generate knowledge from the information system's data model, and also to discover and understand hidden patterns within data that regulate the planning of flight hours of pilots and copilots in an airline. With this objective, they use Weka free software which offers a set of algorithms and visualization tools geared to data analysis and predictive modeling of information systems. Firstly, they apply clustering to study the information system and analyze data model; secondly, they apply association rules to discover connection patterns in data; and finally, they generate a decision tree to classify and extract more specific patterns. The authors suggest conclusions according these information system's data to improve future decision making in an airline's flight hours assignments.

scholarly journals Predicting Student Performance by Using Data Mining Methods for Classification

2013 ◽  
Vol 13 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Dorina Kabakchieva
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Student Performance ◽  
High Potential ◽  
University Management ◽  
Mining Methods ◽  
Predicting Student Performance ◽  
Using Data ◽  
Initial Results ◽  
Support Decision Making

Abstract Data mining methods are often implemented at advanced universities today for analyzing available data and extracting information and knowledge to support decision-making. This paper presents the initial results from a data mining research project implemented at a Bulgarian university, aimed at revealing the high potential of data mining applications for university management.

Performance Evaluation of Social Network Using Data Mining Techniques

2012 ◽  
pp. 25-49 ◽  
Author(s):  
Mrutyunjaya Panda ◽  
Ajith Abraham ◽  
Sachidananda Dehuri ◽  
Manas Ranjan Patra
Keyword(s):  
Data Mining ◽  
Performance Evaluation ◽  
Social Network ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals Knowledge-based model to support decision-making when choosing between two association data mining techniques

2017 ◽  
Vol 14 (2) ◽  
pp. 41-50
Author(s):  
Juan Camilo Giraldo Mejía ◽  
◽  
Diana María Montoya Quintero ◽  
Jovani Alberto Jiménez Builes ◽  
◽  
...  
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Mining Techniques ◽  
Knowledge Based ◽  
Association Data ◽  
Support Decision Making

The Application of Data Mining in Customer Management of Magazine Editing System

2013 ◽  
Vol 846-847 ◽  
pp. 1048-1051
Author(s):  
Xiao Qian Zhang
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Customer Management ◽  
Large Database ◽  
Data Mining Techniques ◽  
Fierce Competition ◽  
Support Decision Making

China's commercial magazine faces of increasingly fierce competition in the customer, so it must improve its management and marketing method to enhance competitiveness. It is the key point to strengthening customer relationship management. The study in this paper uses data mining techniques to enhance the management of the customer to explore new customers, maintain overall customers and accelerate the development of the magazine. Through the establishment of large database and data mining, we find useful data and the relevance to support decision-making and better improve the competitiveness of the magazine.

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