A Proposed Data Mining Methodology and its Application to Industrial Procedures
Authors: not saved
Abstract:
Data mining is the process of discovering correlations, patterns, trends or relationships by searching through a large amount of data stored in repositories, corporate databases, and data warehouses. Industrial procedures with the help of engineers, managers, and other specialists, comprise a broad field and have many tools and techniques in their problem-solving arsenal. The purpose of this study is to improve the effectiveness of these solutions through the application of data mining. To achieve this objective, an adaptation of the engineering design process is used to develop a methodology, specifically designed for industrial procedures’ operations. This paper concludes by describing some of the advantages and disadvantages of the application of data mining techniques and tools to industrial procedures; it mentions some possible problems or issues in its implementation; and finally, it provides recommendations for future research in the application of data mining to facilitate decisions relevant to industrial procedures.
similar resources
construction and validation of translation metacognitive strategy questionnaire and its application to translation quality
like any other learning activity, translation is a problem solving activity which involves executing parallel cognitive processes. the ability to think about these higher processes, plan, organize, monitor and evaluate the most influential executive cognitive processes is what flavell (1975) called “metacognition” which encompasses raising awareness of mental processes as well as using effectiv...
data mining and its application in decisions
business related decisions become more perplexing as societies advance. environmental ambiguities which stem from new business models intensify the above mentioned complexity so far as many of the affecting variables and their interrelationships are non linear and complicated. in this circumstances data analysis and knowledge extraction is not practical via traditional methods. this research co...
full textA Proposed Model to Identify Factors Affecting Asthma using Data Mining
Introduction: The identification of asthma risk factors plays an important role in the prevention of the asthma as well as reducing the severity of symptoms. Nowadays, the identification process can be performed using modern techniques. Data mining is one of the techniques which has many applications in the fields of diagnosis, prediction, and treatment. This study aimed to identify the effecti...
full textA Novel Data Mining Methodology for Narrative Text Mining and Its Application in MSHA Accident, Injury and Illness Database
full text
alpha-Surface and Its Application to Mining Protein Data
Given a finite set of points in three dimensional Euclidean space , the subset that forms its surface could be different when observed in different levels of details. In this paper, we introduce a notion called -surface. We present an algorithm that extracts the -surface from a finite set of points in . We apply the algorithm to extracting the surfaces of proteins and discover patterns from the...
full text-Surface and Its Application to Mining Protein Data
Given a finite set of points in three dimensional Euclidean space , the subset that forms its surface could be different when observed in different levels of details. In this paper, we introduce a notion called -surface. We present an algorithm that extracts the -surface from a finite set of points in . We apply the algorithm to extracting the surfaces of proteins and discover patterns from the...
full textMy Resources
Journal title
volume Volume 2 issue Issue 4
pages 37- 50
publication date 2010-09-29
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023