Classification algorithms
Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Discovering data mining: from concept to implementation
Discovering data mining: from concept to implementation
Communications of the ACM
Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
The essential guide to data warehousing
The essential guide to data warehousing
Methodological and practical aspects of data mining
Information and Management
Exploring data mining implementation
Communications of the ACM
Principles of data mining
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Decision Support and Data Warehouse Systems
Decision Support and Data Warehouse Systems
Data Warehousing, Data Mining, and Olap
Data Warehousing, Data Mining, and Olap
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Intelligent Data Analysis: An Introduction
Intelligent Data Analysis: An Introduction
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
Data Mining and Business Intelligence: A Guide to Productivity
Data Mining and Business Intelligence: A Guide to Productivity
Neural Networks in Business: Techniques and Applications
Neural Networks in Business: Techniques and Applications
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Knowledge and Information Technology Management: Human and Social Perspectives
Knowledge and Information Technology Management: Human and Social Perspectives
Potter's Wheel: An Interactive Data Cleaning System
Proceedings of the 27th International Conference on Very Large Data Bases
Panel: Knowledge Creating Communities
LSO '01 Proceedings of the Third International Workshop on Advances in Learning Software Organizations
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Systemic knowledge and the V-model
International Journal of Business Information Systems
An investigation of information availability and sharability for organisational performance measures
International Journal of Business Information Systems
Development of HR module in ERP for IB thermal power station: a case study
International Journal of Business Information Systems
Enablers of enterprise systems training success an exploratory investigation
International Journal of Business Information Systems
Management Information Systems
Management Information Systems
Classification Techniques for Talent Forecasting in Human Resource Management
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Informating HRM: a comparison of data querying and data mining
International Journal of Business Information Systems
A fuzzy expert system (FES) tool for online personnel recruitments
International Journal of Business Information Systems
Classification and prediction of academic talent using data mining techniques
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Using fuzzy AHP for evaluating the dimensions of data quality
International Journal of Business Information Systems
Intelligent DSS for talent management: a proposed architecture using knowledge discovery approach
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Fuzzy data mining: a literature survey and classification framework
International Journal of Networking and Virtual Organisations
Domain driven data mining in human resource management: A review of current research
Expert Systems with Applications: An International Journal
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This paper presents the role of data mining in Human Resource Management Systems (HRMS). A deep understanding of the knowledge hidden in Human Resource (HR) data is vital to a firm's competitive position and organisational decision making. Analysing the patterns and relationships in HR data is quite rare. The HR data is usually treated to answer queries. Because HR data primarily concerns transactional processing getting data into the system, recording it for reporting purposes it is necessary for HRMS to become more concerned with the quantifiable data. We show how data mining discovers and extracts useful patterns from this large data set to find observable patterns in HR. The paper demonstrates the ability of data mining in improving the quality of the decision-making process in HRMS and gives propositions regarding whether data-mining capabilities should lead to increased performance to sustain competitive advantage.