Toward Work Groups Classification Based on Probabilistic Neural Network Approach

This paper presents the application of some Computational Intelligence methods for obtaining a classifier analysing employees to form work groups. The proposed bio-inspired solution analyses employees using data gathered from their professional attitudes and skills, then suggests how to form groups of human resources within a company that can effectively work together. The same proposed tool provides employers with a fair and effective means for employee evaluation. In our approach, employee profiles are processed by a dedicated Radial Basis Probabilistic Neural Network based classifier, which finds non-explicit custom-created groups. The accuracy of the classifier is very high, revealing the potential efficacy of the proposed bio-inspired classification system.

[1]  Marcin Woźniak,et al.  On preprocessing large data sets by the use of triple merge sort algorithm , 2014 .

[2]  Giacomo Capizzi,et al.  An hybrid neuro-wavelet approach for long-term prediction of solar wind , 2010, Proceedings of the International Astronomical Union.

[3]  Wlodzislaw Duch,et al.  Towards Comprehensive Foundations of Computational Intelligence , 2007, Challenges for Computational Intelligence.

[4]  Thomas L. Griffiths,et al.  Nonparametric Latent Feature Models for Link Prediction , 2009, NIPS.

[5]  Seungyeop Han,et al.  Analysis of topological characteristics of huge online social networking services , 2007, WWW '07.

[6]  Christian Napoli,et al.  Using Modularity Metrics to Assist Move Method Refactoring of Large Systems , 2013, 2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems.

[7]  Marcin Wozniak,et al.  On Applying Cuckoo Search Algorithm to Positioning GI/M/1/N Finite-Buffer Queue with a Single Vacation Policy , 2013, 2013 12th Mexican International Conference on Artificial Intelligence.

[8]  Marcin Gabryel,et al.  Genetic Cost Optimization of the GI/M/1/N Finite-Buffer Queue with a Single Vacation Policy , 2013, ICAISC.

[9]  G. Capizzi,et al.  Recurrent neural network-based control strategy for battery energy storage in generation systems with intermittent renewable energy sources , 2011, 2011 International Conference on Clean Electrical Power (ICCEP).

[10]  G. Capizzi,et al.  Some remarks on the application of RNN and PRNN for the charge-discharge simulation of advanced Lithium-ions battery energy storage , 2012, International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion.

[11]  Ma Songde,et al.  A new radial basis probabilistic neural network model , 1996, Proceedings of Third International Conference on Signal Processing (ICSP'96).

[12]  Marcin Woźniak,et al.  A Software Architecture Assisting Workflow Executions on Cloud Resources , 2015 .

[13]  Giacomo Capizzi,et al.  An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys , 2012, ICAISC.

[14]  Marcin Gabryel,et al.  Modified Merge Sort Algorithm for Large Scale Data Sets , 2013, ICAISC.

[15]  Giacomo Capizzi,et al.  Exploiting solar wind time series correlation with magnetospheric response by using an hybrid neuro-wavelet approach , 2010, Proceedings of the International Astronomical Union.

[16]  Marcin Wozniak,et al.  Basic concept of Cuckoo Search Algorithm for 2D images processing with some research results: An idea to apply Cuckoo Search Algorithm in 2D images key-points search , 2014, 2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP).

[17]  Albert-László Barabási,et al.  Scale-Free Networks: A Decade and Beyond , 2009, Science.

[18]  Marcin Gabryel,et al.  A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning , 2014, Int. J. Appl. Math. Comput. Sci..

[19]  Christian Napoli,et al.  Simplified firefly algorithm for 2D image key-points search , 2014, 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI).

[20]  Marcin Wozniak,et al.  An Idea to Apply Firefly Algorithm in 2D Image Key-Points Search , 2014, ICIST.

[21]  Giacomo Capizzi,et al.  A Cascade Neural Network Architecture Investigating Surface Plasmon Polaritons Propagation for Thin Metals in OpenMP , 2014, ICAISC.

[22]  De-Shuang Huang,et al.  Optimizing radial basis probabilistic neural networks using Recursive Orthogonal Least Squares Algorithms combined with Micro-Genetic Algorithms , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[23]  Włodzisław Duch,et al.  Challenges for Computational Intelligence , 2007, Studies in Computational Intelligence.

[24]  Marcin Gabryel,et al.  On Applying Evolutionary Computation Methods to Optimization of Vacation Cycle Costs in Finite-Buffer Queue , 2014, ICAISC.

[25]  Christian Napoli,et al.  A Hybrid Neuro-Wavelet Predictor for QoS Control and Stability , 2013, AI*IA.

[26]  Marcin Gabryel,et al.  Creating Learning Sets for Control Systems Using an Evolutionary Method , 2012, ICAISC.

[27]  David Liben-Nowell,et al.  The link-prediction problem for social networks , 2007 .

[28]  Marcin Woźniak,et al.  Multiresolution derives analysis of module mechatronical systems , 2016 .

[29]  Norbert Jankowski,et al.  Survey of Neural Transfer Functions , 1999 .