KNOWLEDGEͳORIENTED APPLICATIONS IN DATA MINING Edited by Kimito Funatsu and Kiyoshi Hasegawa Knowledge-Oriented Applications in Data Mining Edited by Kimito Funatsu and Kiyoshi Hasegawa Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2011 InTech All chapters are Open Access articles distributed under the Creative Commons Non Commercial Share Alike Attribution 3.0 license, which permits to copy, distribute, transmit, and adapt the work in any medium, so long as the original work is properly cited. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published articles. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Ana Nikolic Technical Editor Teodora Smiljanic Cover Designer Martina Sirotic Image Copyright agsandrew, 2010. Used under license from Shutterstock.com First published January, 2011 Printed in India A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechweb.org Knowledge-Oriented Applications in Data Mining, Edited by Kimito Funatsu and Kiyoshi Hasegawa p. cm. ISBN 978-953-307-154-1 free online editions of InTech Books and Journals can be found at www.intechopen.com [...]... Knowledge Discovery and Data Mining are powerful data analysis tools The term Data mining is used to describe the non-trivial extraction of implicit, Data Mining is a discovery process in large and complex data set, refers to extracting knowledge from data bases Data mining is a multidisciplinary field with many techniques Whit this techniques you can create a mining model that describe the data that you will... on talent management such as for talent forecasting, career planning and talent recruitment use data mining approach In HR, data mining technique used focuses on personnel selection especially to choose the right candidates for a job The classification and prediction in data 4 Knowledge- Oriented Applications in Data Mining mining for HR problems are infrequent and there are some examples such as to... the key talent in an organization by predicting their performance using previous employee performance records in databases In this case, we use the past related employee data regarding on their talent by using classification technique in data mining Data Mining Classification Techniques for Human Talent Forecasting 5 Fig 2 Data mining and Talent Management 2.3 Human talent forecasting Recently, with... 414-431 14 Knowledge- Oriented Applications in Data Mining Park, S C., Piramuthu, S., & Shaw, M.J (2001) Dynamic rule refinement in knoledge-based data mining systems Decision Support System, 31(2), 205-222 Ranjan, J (2008) Data Mining Techniques for better decisions in Human Resource Management Systems International Journal of Business Information Systems, 3(5), 464481 Sinha, A P., & Zhao, H (2008) Incorporating... Chen, 2008) Fig 1 Classification and Prediction in Data Mining Recently, there are some researches that show great interest on solving HR problems using data mining approach (Ranjan, 2008) Table 1 lists some of the tasks in human resource that use data mining technique, and it shows there are quite limited studies on data mining in human resource domain In addition, until now there are quite limited... Data Mining (Tai & Hsu, 2005) Rough Set Theory(Chien & Chen, 2007) Association rule mining (Chen et al., 2007) Fuzzy Data Mining and Fuzzy Artificial Neural Network (Huang et al., 2006) Decision Tree (Tung et al., 2005) Potential to use Decision Tree (Zhao, 2008) Table 1 Data mining Techniques in HRM 2.2 Talent management and data mining In any organization, talent management has become an increasingly... determine the suitable data mining techniques for talent management problems 6 Knowledge- Oriented Applications in Data Mining Fig 3 Data mining Tasks for Talent Management 3 Experiment setup This experiment attempts to propose the potential data mining classifier for human talent data The proposed classifier can be used to generate talent performance classification patterns from employee’s performance databases... talent datasets Fig 4 Experiment Setup 7 Data Mining Classification Techniques for Human Talent Forecasting using dataset rule generator shown in Table 2 The first dataset contains one hundred data (dataset1) and the second dataset has a thousand performance data (dataset2) based on human talent performance factors In many cases, simulated or syntactic data is an ideal data and can produce a good data mining. .. and prediction in data mining Data mining tasks are generally categorized as clustering, association, classification and prediction (Chien & Chen, 2008; Ranjan, 2008) Over the years, data mining has evolved various techniques to perform the tasks that include database oriented techniques, statistic, machine learning, pattern recognition, neural network, rough set and etc Database or data warehouse... be more Data Mining Classification Techniques for Human Talent Forecasting 13 data mining techniques applied to the different problem domains in HR field of research in order to broaden our horizon of academic and practice work on data mining in HR In addition, C4.5 classifier algorithm is the potential classifier in this experiment Thus, this technique can be used for real human talent data in the . second book (Knowledge- Oriented Applications in Data Mining) is based on in- troducing several scientifi c applications using data mining. Data mining is used for a variety of purposes in both private. Zhukova Exploiting Inter-Sample Information and Exploring Visualization in Data Mining: from Bioinformatics to Anthropology and Aesthetics Disciplines 411 Kuan-ming Lin and Jung-Hua Liu Data Mining Industrial. in data mining; researches on data mining in HR especially for talent management; and human talent forecasting using data mining technique. The third section discusses on experiment setup in