Data mining to cluster human performance by using online self regulating clustering method

Authors:
Adem Karahoca;Dilek Karahoca;Osman Kaya
Affiliations:
Bahcesehir University, Engineering Faculty, Computer Engineering Department, Istanbul, Turkey;Bahcesehir University, Engineering Faculty, Computer Engineering Department, Istanbul, Turkey;Bahcesehir University, Engineering Faculty, Computer Engineering Department, Istanbul, Turkey
Venue:
MAASE'08 Proceedings of the 1st WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering
Year:
2008

Citing 8
Cited 1

Algorithms for clustering data

Algorithms for clustering data
X-means: Extending K-means with Efficient Estimation of the Number of Clusters

ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Dynamic cluster generation for a fuzzy classifier with ellipsoidalregions

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A survey of fuzzy clustering algorithms for pattern recognition. I

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Validity-guided (re)clustering with applications to image segmentation

IEEE Transactions on Fuzzy Systems
An online self-constructing neural fuzzy inference network and its applications

IEEE Transactions on Fuzzy Systems
Self-splitting competitive learning: a new on-line clustering paradigm

IEEE Transactions on Neural Networks
Optimal adaptive k-means algorithm with dynamic adjustment of learning rate

IEEE Transactions on Neural Networks

Domain driven data mining in human resource management: A review of current research

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Human capital is critical and vital factor for banking sector. High technology usage and procedural job descriptions have been forced the staff to develop themselves. In this study, staff performance measurements and evaluations gathered by Human Resource department. For cluster evaluation, x-mean algorithm is used to find optimum clusters. Findings show that the usefulness of an innovative technique when applied to research so far conducted through traditional methodologies, and brings to the surface questions about the universal applicability of the widely accepted relationship between superior HRM and superior business performance.