MODEL DESIGN FOR PERSONNEL SELECTION WITH DATA MINING APPROACH (CASE STUDY: A COMMERCE BANK OF IRAN)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AZAR ADEL; AHMADI PARVIZ; SABT M.V.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT Year:2010 | Volume:2 | Issue:4 Page(s): 3-22

Download Full-Text

Persian Verion

View:

5,844

Download:

Cites:

Information Journal Paper

Title

MODEL DESIGN FOR PERSONNEL SELECTION WITH DATA MINING APPROACH (CASE STUDY: A COMMERCE BANK OF IRAN)

Author(s)

AZAR ADEL | AHMADI PARVIZ | SABT M.V. | Issue Writer Certificate

Keywords

KNOWLEDGE DISCOVERYQ2

DATA MININGQ3

PERSONNEL SELECTIONQ2

CLUSTERINGQ2

DECISION TREEQ3

HUMAN RESOURCE MANAGEMENTQ1

Abstract

The success or failure of an organization has a direct relationship with how its human resources are employed and retained. It is the case that organizations keep large amounts of information and data on entrance evaluations and processes. This information, however, is often left unutilized. DATA MINING is considered a solution for analyzing these data. This paper is investigating educated and objective methods of data analysis. It follows statistical rules, DATA MINING techniques, and the relationship between entrance evaluation scores and personal and professional variables. These factors are studied in order to determine the assignment and rank of potential employees. The database and personnel information of the a Commerce Bank of Iran (in years of 2005 and 2006) is studied and analyzed as a case study in order to identify the labor factors which are considered effective in job performance. The DATA MINING technique that is used in this project serves as the decision-tree. Rules Derivation has been accomplished by the QUEST, CHAID, C5.0 and CART algorithms. The objective and the appropriate algorithms are determined based on seemingly “irrelevant” components, which the Commerce Bank Human Resources management experts described. Results indicated not taking into account the “performance assessment” variable as the objective. Also this project has identified the following from 26 variables have been investigated, five variables as the effective factors in employee promotion: examination score, interview score, degree, years of experience, and job location. The paper's results led in knowledge that can be practical.

Cites

References

No record.

Cite

APA: Copy

AZAR, ADEL, AHMADI, PARVIZ, & SABT, M.V.. (2010). MODEL DESIGN FOR PERSONNEL SELECTION WITH DATA MINING APPROACH (CASE STUDY: A COMMERCE BANK OF IRAN). JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 2(4), 3-22. SID. https://sid.ir/paper/140379/en

Vancouver: Copy

AZAR ADEL, AHMADI PARVIZ, SABT M.V.. MODEL DESIGN FOR PERSONNEL SELECTION WITH DATA MINING APPROACH (CASE STUDY: A COMMERCE BANK OF IRAN). JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2010;2(4):3-22. Available from: https://sid.ir/paper/140379/en

IEEE: Copy

ADEL AZAR, PARVIZ AHMADI, and M.V. SABT, “MODEL DESIGN FOR PERSONNEL SELECTION WITH DATA MINING APPROACH (CASE STUDY: A COMMERCE BANK OF IRAN),” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 2, no. 4, pp. 3–22, 2010, [Online]. Available: https://sid.ir/paper/140379/en

Related Journal Papers