Potential intelligent techniques in Human Resource Decision Support System (HR DSS)

Jantan, Hamidah; Hamdan, Abdul Razak; Othman, Zulaiha Ali

doi:10.1109/itsim.2008.4632047

Cited by 12 publications

(4 citation statements)

References 40 publications

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“…Hamdan et al [18] during this paper projected the time unit DSS framework and therefore the potential intelligent techniques that may be accustomed develop the IDSS application in any phases of higher cognitive process processes. They represented the potential to implement the IDSS in Human Resource Management (HRM) activities.…”

Section: Related Workmentioning

confidence: 99%

Appraisal Management System using Data mining Classification Technique

Salvithal¹,

Kulkarni²

2016

IJCA

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Performance appraisal may be a method within which staff are rated on however well they need met performance expectations. Performance appraisals are meant to support employees' selections, as well as promotions, terminations, training, and remuneration will increase. This task involves lots of social control selections that depends on numerous factors like human expertise, knowledge, preference and judgment. of these factors will cause inconsistent, inaccurate, difference and unpredictable selections. DM is rising knowledge analysis tool and wide utilized in order to supply valuable information for deciding. DM classification methodology are often used for talent statement, particularly for employee's job promotion. within the planned system the assorted classifier algorithms are going to be applied on Talent dataset to spot the talent set so as to judge the performance of the individual. Finally counting on accuracy one best suited classifier is chosen this method has been used to construct classification rules to predict the potential talent that helps in determining whether or not the individual is acceptable for promotion or not.

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Section: Related Workmentioning

confidence: 99%

Appraisal Management System using Data mining Classification Technique

Salvithal¹,

Kulkarni²

2016

IJCA

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“…In the literature study, prediction approaches can be categorized into two approaches; the first approach is statistical approach and the second one is intelligent approach which is concerned with Artificial Intelligent technology. There are many intelligent approaches are used in prediction application such as KDD, Artificial Neural Network, Artificial Immune System (AIS), Support Vector Machine (SVM) and many others (Jantan et al, 2008b). Due to that reason, this study attempts to apply KDD approach for talent identification which is regarding the key talent in an organization.…”

Section: Meeting Schedulingmentioning

confidence: 99%

Human Talent Forecasting using Data Mining Classification Techniques

Jantan

Hamdan

Othman

2010

International Journal of Technology Diffusion

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Talent management is a very crucial task and demands close attention from human resource (HR) professionals. Recently, among the challenges for HR professionals is how to manage organization’s talents, particularly to ensure the right job for the right person at the right time. Some employee’s talent patterns can be identified through existing knowledge in HR databases, which data mining can be applied to handle this issue. The hidden and useful knowledge that exists in databases can be discovered through classification task and has been widely used in many fields. However, this approach has not successfully attracted people in HR especially in talent management. In this regard, the authors attempt to present an overview of talent management problems that can be solved by using this approach. This paper uses that approach for one of the talent management tasks, i.e., predicting potential talent using previous existing knowledge. Future employee’s performances can be predicted based on past experience knowledge discovered from existing databases by using classification techniques. Finally, this study proposes a framework for talent forecasting using the potential Data Mining classification techniques.

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“…Decision support applications can be used to provide fair and consistent decisions, besides to improve the effectiveness of decision making processes. An Intelligent Decision Support System (IDSS) is developed to assist decision makers in high level phases of decision making by integrating human knowledge with modeling tools 6. Computer applications for decision support can be used to provide the fair and consistent decisions, and at the same time can improve the effectiveness of decision making 7.…”

Section: Introductionmentioning

confidence: 99%

Using MatLab's fuzzy logic toolbox to create an application for RAMSET in software engineering courses

Martínez

Licea

Rodríguez

et al. 2011

Comp Applic In Engineering

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Role Assignment Methodology for Software Engineering Teams (RAMSET) methodology relates personality, abilities, and software roles for building Software Engineering Teams, applying sociometric, and psychometric techniques. This paper presents the results and experience of applying RAMSET's software supporting tool developed under a fuzzy approach. This software facilitates the role assignment decision making process, which results in a choice of role selection for individuals in working team projects. It has been applied in Software Engineering Courses of our Computer Engineering Program with great success giving students a practical experience in learning objectives, Wiley Periodicals, Inc. Comput Appl Eng Educ; View this article online at wileyonlinelibrary.com;

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Potential intelligent techniques in Human Resource Decision Support System (HR DSS)

Cited by 12 publications

References 40 publications

Appraisal Management System using Data mining Classification Technique

Appraisal Management System using Data mining Classification Technique

Human Talent Forecasting using Data Mining Classification Techniques

Using MatLab's fuzzy logic toolbox to create an application for RAMSET in software engineering courses

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