Knowledge Extraction
Modeling Brand Resilience in Iran's Handwoven Carpet Industry Using Background Knowledge and Data Mining in Critical Conditions

Mohammad Hossein Rahmati; Farshid Namamian; Seyed Reza Hasani; Afshin Baghfalaki

Volume 4, Issue 2 , March 2024, , Pages 40-51

https://doi.org/10.22034/kps.2023.406540.1147

Abstract
  Brand resilience knowledge helps companies maintain customer trust and strengthen relationships through proper planning and strategies. This research was conducted to model brand resilience in Iran's handwoven carpet industry using background knowledge and data mining in critical conditions. In brand ...  Read More

Knowledge Extraction
The Application of Knowledge Extraction in Business Classification to Identify Key Players

Ali Zare Abarghouei; Mohammad Reza Dalvi; Zahra Dashtlaali

Volume 4, Issue 1 , December 2023, , Pages 65-78

https://doi.org/10.22034/kps.2023.388868.1112

Abstract
  The current research was conducted to apply knowledge extraction in the classification of jobs to identify the key role players using a mixed method (qualitative and sufficient data). The application of expert systems or decision support systems based on organizational data is increasing in the selection ...  Read More

Data mining
Identifying Knowledge Management Infrastructures to Reduce Employee Mental Absenteeism Based on Data Mining Techniques

Aliakbar Vakili; Mahdi Bagheri; Sirajuddin Mohebi; Kobra Haji Alizadeh

Volume 4, Issue 1 , December 2023, , Pages 120-131

https://doi.org/10.22034/kps.2023.394860.1129

Abstract
  This research aims to identify the knowledge management infrastructure due to reducing employee absenteeism based on data mining. Examining the status and reports of employees using data recording systems, creating information dashboards, and applying data mining techniques is important for the transparency ...  Read More

Data mining
Application of Data Mining to Detect Accounting Fraud in Information Systems

Tina Malekolkalami; Khadijah Khodabakhshi Parijani; Maliheh Alifari

Volume 3, Issue 4 , September 2023, , Pages 60-72

https://doi.org/10.22034/kps.2023.394274.1127

Abstract
  The purpose of this research is to use data mining to detect accounting fraud in the database of stock exchange member companies. The combination of discrete and continuous data has increased the necessity of using data mining and machine learning methods in the field of fraud detection. This research ...  Read More

Data mining
Intelligent Modeling of Managers' Data-Driven Decisions in Empowering Human Resources

Seyed Rohollah Abbasi; Abdul Khalegh Gholami Chenaristan Alia; Foad Makvandi

Volume 3, Issue 3 , July 2023, , Pages 29-44

https://doi.org/10.22034/kps.2023.383192.1094

Abstract
  This study aimed to design a data-driven decision-making model for managers in the direction of empowering human resources in the police headquarter of Kohgiluyeh and Boyer-Ahmad province.  Increasing amount of information and rapid changes in the environment and the need to create continuous communication ...  Read More