Reliability, data mining, artificial intelligence techniques/methods

2014 ◽  
pp. 541-541
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Reliability Data ◽  
Artificial Intelligence Techniques

Strategic Utilization of Data Mining

2005 ◽  
pp. 2638-2642
Author(s):  
Chandra S. Amaravadi
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Decision Support ◽  
Information Systems ◽  
Relational Databases ◽  
Online Analytical Processing ◽  
Artificial Intelligence Techniques ◽  
The Past ◽  
Analytical Processing

In the past decade, a new and exciting technology has unfolded on the shores of the information systems area. Based on a combination of statistical and artificial intelligence techniques, data mining has emerged from relational databases and Online Analytical Processing as a powerful tool for organizational decision support (Shim et al., 2002).

Strategic Utilization of Data Mining

2008 ◽  
pp. 1689-1695
Author(s):  
Chandra S. Amaravadi
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Decision Support ◽  
Information Systems ◽  
Relational Databases ◽  
Online Analytical Processing ◽  
Artificial Intelligence Techniques ◽  
The Past ◽  
Analytical Processing

In the past decade, a new and exciting technology has unfolded on the shores of the information systems area. Based on a combination of statistical and artificial intelligence techniques, data mining has emerged from relational databases and Online Analytical Processing as a powerful tool for organizational decision support (Shim et al., 2002).

scholarly journals Prediction of Infertility Treatment Outcomes Using Classification Trees

2016 ◽  
Vol 47 (1) ◽  
pp. 7-19 ◽  
Author(s):  
Anna Justyna Milewska ◽  
Dorota Jankowska ◽  
Urszula Cwalina ◽  
Dorota Citko ◽  
Teresa Więsak ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
In Vitro Fertilization ◽  
Treatment Outcomes ◽  
Classification Trees ◽  
Infertility Treatment ◽  
Vitro Fertilization ◽  
Artificial Intelligence Techniques ◽  
Mining Methods

Abstract Infertility is currently a common problem with causes that are often unexplained, which complicates treatment. In many cases, the use of ART methods provides the only possibility of getting pregnant. Analysis of this type of data is very complex. More and more often, data mining methods or artificial intelligence techniques are appropriate for solving such problems. In this study, classification trees were used for analysis. This resulted in obtaining a group of patients characterized most likely to get pregnant while using in vitro fertilization.

scholarly journals Analysis of Data Mining Associations on Drug Sales at Pharmacies with APRIORI Techniques

2021 ◽  
Vol 5 (1) ◽  
pp. 38
Author(s):  
Salam Irianto Nadeak ◽  
Yusmar Ali
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Marketing Strategies ◽  
Test Results ◽  
Minimum Support ◽  
Artificial Intelligence Techniques ◽  
Drug Sales ◽  
Association Method ◽  
Product Promotion

The purpose of the research is to utilize artificial intelligence techniques in analyzing drug sales. Sources of data used are observations and interviews with shop owners. The method used as a solution is the Association method with the Apriori technique. By using the RapidMiner software, the test results are obtained using a minimum support of 25% and a minimum of 60% confidence as many as 5 rules with a predetermined itemset. The results of the study are expected to provide information and make it easier for related parties to find combinations of selling items. The results of this analysis can be used by pharmacies for marketing strategies and product promotion.

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