Applying data mining classification techniques for employee’s performance prediction

The valuable knowledge can be discovered through data mining process.In data mining, classification is one of the major tasks to impart knowledge from huge amount of data. This technique is widely used in various fields, but it has not attracted much attention in Human Resource Management (HRM). Thi...

Full description

Bibliographic Details
Main Authors: Jantan, Hamidah, Puteh, Mazidah, Hamdan, Abdul Razak, Ali Othman, Zulaiha
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/11231/1/PG601-607.pdf
_version_ 1803626197252308992
author Jantan, Hamidah
Puteh, Mazidah
Hamdan, Abdul Razak
Ali Othman, Zulaiha
author_facet Jantan, Hamidah
Puteh, Mazidah
Hamdan, Abdul Razak
Ali Othman, Zulaiha
author_sort Jantan, Hamidah
collection UUM
description The valuable knowledge can be discovered through data mining process.In data mining, classification is one of the major tasks to impart knowledge from huge amount of data. This technique is widely used in various fields, but it has not attracted much attention in Human Resource Management (HRM). This article presents a study on the implementation of data mining approach for employee development regarding to their future performance.By using this approach, the performance patterns can be discovered from the existing database and will be used for future performance prediction in their career development. In the experimental phase, we have used selected classification techniques to propose the appropriate technique for the dataset. An experiment is carried out to demonstrate the feasibility of the suggested classification techniques using employee’s performance data. Thus, the experiment results, we suggest the potential classification techniques and the possible prediction model for employee’s performance forecasting.
first_indexed 2024-07-04T05:46:20Z
format Conference or Workshop Item
id uum-11231
institution Universiti Utara Malaysia
language English
last_indexed 2024-07-04T05:46:20Z
publishDate 2010
record_format dspace
spelling uum-112312014-06-05T00:33:54Z https://repo.uum.edu.my/id/eprint/11231/ Applying data mining classification techniques for employee’s performance prediction Jantan, Hamidah Puteh, Mazidah Hamdan, Abdul Razak Ali Othman, Zulaiha HD28 Management. Industrial Management The valuable knowledge can be discovered through data mining process.In data mining, classification is one of the major tasks to impart knowledge from huge amount of data. This technique is widely used in various fields, but it has not attracted much attention in Human Resource Management (HRM). This article presents a study on the implementation of data mining approach for employee development regarding to their future performance.By using this approach, the performance patterns can be discovered from the existing database and will be used for future performance prediction in their career development. In the experimental phase, we have used selected classification techniques to propose the appropriate technique for the dataset. An experiment is carried out to demonstrate the feasibility of the suggested classification techniques using employee’s performance data. Thus, the experiment results, we suggest the potential classification techniques and the possible prediction model for employee’s performance forecasting. 2010-05-25 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/11231/1/PG601-607.pdf Jantan, Hamidah and Puteh, Mazidah and Hamdan, Abdul Razak and Ali Othman, Zulaiha (2010) Applying data mining classification techniques for employee’s performance prediction. In: Knowledge Management International Conference 2010 (KMICe2010), 25-27 May 2010, Kuala Terengganu, Malaysia. http://www.kmice.uum.edu.my
spellingShingle HD28 Management. Industrial Management
Jantan, Hamidah
Puteh, Mazidah
Hamdan, Abdul Razak
Ali Othman, Zulaiha
Applying data mining classification techniques for employee’s performance prediction
title Applying data mining classification techniques for employee’s performance prediction
title_full Applying data mining classification techniques for employee’s performance prediction
title_fullStr Applying data mining classification techniques for employee’s performance prediction
title_full_unstemmed Applying data mining classification techniques for employee’s performance prediction
title_short Applying data mining classification techniques for employee’s performance prediction
title_sort applying data mining classification techniques for employee s performance prediction
topic HD28 Management. Industrial Management
url https://repo.uum.edu.my/id/eprint/11231/1/PG601-607.pdf
work_keys_str_mv AT jantanhamidah applyingdataminingclassificationtechniquesforemployeesperformanceprediction
AT putehmazidah applyingdataminingclassificationtechniquesforemployeesperformanceprediction
AT hamdanabdulrazak applyingdataminingclassificationtechniquesforemployeesperformanceprediction
AT aliothmanzulaiha applyingdataminingclassificationtechniquesforemployeesperformanceprediction