DATA MINING AND MACHINE LEARNING CLUSTERING ANALYSIS TO PREDICT THE TURNOVER RATE FOR TECHNOLOGY PROFESSIONALS

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ARAMESH SAEED; MOHAMMADIAN VAHID; barani barvati hadi; Ziaei Mina

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON NEW ACHIEVEMENTS IN SCIENCE AND TECHNOLOGY
Year:2017 | Issue:1

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Title

DATA MINING AND MACHINE LEARNING CLUSTERING ANALYSIS TO PREDICT THE TURNOVER RATE FOR TECHNOLOGY PROFESSIONALS

Author(s)

ARAMESH SAEED | MOHAMMADIAN VAHID | barani barvati hadi | Ziaei Mina

Keywords

TURNOVER TREND

CLUSTERING ANALYSIS

SELF-ORGANIZING MAP

NEURAL NETWORK CLUSTERING

Abstract

THIS STUDY APPLIES CLUSTERING ANALYSIS FOR DATA MINING AND MACHINE LEARNING TO PREDICT TRENDS IN TECHNOLOGY PROFESSIONAL TURNOVER RATES, INCLUDING THE HYBRID ARTIFICIAL NEURAL NETWORK AND CLUSTERING ANALYSIS KNOWN AS THE SELF-ORGANIZING MAP (SOM). THIS HYBRID CLUSTERING METHOD WAS USED TO STUDY THE INDIVIDUAL CHARACTERISTICS OF TURNOVER TREND CLUSTERS. USING A TRANSACTION QUESTIONNAIRE, WE STUDIED THE PERIOD OF PEAK TURNOVER, WHICH OCCURS AFTER THE CHINESE NEW YEAR, FOR INDIVIDUALS DIVIDED INTO VARIOUS AGE GROUPS. THE TURNOVER TREND OF TECHNOLOGY PROFESSIONALS WAS EXAMINED IN WELL-KNOWN TAIWANESE COMPANIES. THE RESULTS INDICATE THAT THE HIGH OUTSTANDING TURNOVER TREND CIRCLE WAS PRIMARILY CAUSED BY A LACK OF INNER FIDELITY IDENTIFICATION, LEADERSHIP AND MANAGEMENT. BASED ON CROSS-VERIFICATION, THE CLUSTERING ACCURACY RATE WAS 92.7%. THIS STUDY ADDRESSED PROBLEMS RELATED TO THE RAPID LOSS OF KEY HUMAN RESOURCES AND SHOULD HELP ORGANIZATIONS LEARN HOW TO ENHANCE COMPETITIVENESS AND EFFICIENCY.

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Cite

APA: Copy

ARAMESH, SAEED, MOHAMMADIAN, VAHID, barani barvati, hadi, & Ziaei, Mina. (2017). DATA MINING AND MACHINE LEARNING CLUSTERING ANALYSIS TO PREDICT THE TURNOVER RATE FOR TECHNOLOGY PROFESSIONALS. INTERNATIONAL CONFERENCE ON NEW ACHIEVEMENTS IN SCIENCE AND TECHNOLOGY. SID. https://sid.ir/paper/948097/en

Vancouver: Copy

ARAMESH SAEED, MOHAMMADIAN VAHID, barani barvati hadi, Ziaei Mina. DATA MINING AND MACHINE LEARNING CLUSTERING ANALYSIS TO PREDICT THE TURNOVER RATE FOR TECHNOLOGY PROFESSIONALS. 2017. Available from: https://sid.ir/paper/948097/en

IEEE: Copy

SAEED ARAMESH, VAHID MOHAMMADIAN, hadi barani barvati, and Mina Ziaei, “DATA MINING AND MACHINE LEARNING CLUSTERING ANALYSIS TO PREDICT THE TURNOVER RATE FOR TECHNOLOGY PROFESSIONALS,” presented at the INTERNATIONAL CONFERENCE ON NEW ACHIEVEMENTS IN SCIENCE AND TECHNOLOGY. 2017, [Online]. Available: https://sid.ir/paper/948097/en

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