The Behavior Analysis of Exhibition Visitors using Data Mining Technique at the KIDS & EDU EXPO for Children

정민규, 김혜경, 최일영, 이경전, 김재경, 유아교육 박람회에서 데이터마이닝 기법을 이용한 전시 관람 행동 패턴 분석, 지능정보연구, 17(2), pp. 77-96, 2011. (PDF) in Korean ABSTRACT An exhibition is defined as market events for specific duration to present exhibitors’ main products to business or private visitors, and it plays a key role as effective marketing channels. As theContinue reading “The Behavior Analysis of Exhibition Visitors using Data Mining Technique at the KIDS & EDU EXPO for Children”

Design of Serendipity Service Based on Near Field Communication Technology

이경전, 홍성우, NFC 기반 세렌디피티 시스템 설계, 지능정보연구, 17(4), 2011.(PDF) in Korean ABSTRACT The world of ubiquitous computing is one in which we will be surrounded by an ever-richer set of networked devices and services. Especially, mobile phone now becomes one of the key issues in ubiquitous computing environments. Mobile phones have been infecting ourContinue reading “Design of Serendipity Service Based on Near Field Communication Technology”

Generation of Hypotheses on the Evolution of Agent-Based Business Using Inductive Learning

Jin, D., Suh, Y., Lee, K., “Generation of Hypotheses on the Evolution of Agent-Based Business Using Inductive Learning,” Electronic Markets, vol. 13, no. 1, 13-20, 2003 (PDF) ABSTRACT Agent-based business in e-commerce can be defined as a business enabled and operated by software-agent technologies. The discrepancies between expectations on and reality of the business haveContinue reading “Generation of Hypotheses on the Evolution of Agent-Based Business Using Inductive Learning”

Bankruptcy Prediction Modeling Using Multiple Neural Network Models

Shin, K. Lee, K., Bankruptcy Prediction Modeling Using Multiple Neural Network Models, Lecture Notes in Artificial Intelligence 3214:668–674, September, 2004. – SCIE, ISSN:0302-9743 Abstract The primary goal of this paper is to get over the limitations of single neural network models through model integration so as to increase the accuracy of bankruptcy prediction. We takeContinue reading “Bankruptcy Prediction Modeling Using Multiple Neural Network Models”

Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and its Contingency

Shin, K., Lee, K., Kim, H., Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and its Contingency, Lecture Notes in Computer Science 3316:1254-1259, November, 2004.  – SCIE ISSN:0302-9743. pdf Abstract This study investigates the effectiveness of support vector machines (SVM) approach in detecting the underlying data pattern for the corporate failure prediction tasks.Continue reading “Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and its Contingency”

Rethinking Preferential Attachment Scheme in the dynamic network: Degree centrality or closeness centrality

Ko, K., Lee, K., Park, C., Rethinking Preferential Attachment Scheme in the dynamic network: Degree centrality or closeness centrality?, Connections 27(3):53-59, 2007. ISSN 0226-1776. pdf Abstract Construction of realistic dynamic complex network has become increasingly important. One of widely known approaches, Barabasi and Albert’s “scale-free” network (BA network), has been generated under the assumption thatContinue reading “Rethinking Preferential Attachment Scheme in the dynamic network: Degree centrality or closeness centrality”

Criteria of Good Project Network Generator and its Fulfillment using a Dynamic CBR Approach

Kim, H. Lee, K., Criteria of Good Project Network Generator and its Fulfillment using a Dynamic CBR Approach, Lecture Notes in Computer Science 3155:630-644, September, 2004. – SCIE, ISSN:0302-9743. pdf Abstract Most project-based industries such as construction, shipbuilding, and software development etc. should generate and manage project network for successful project planning. We suggest aContinue reading “Criteria of Good Project Network Generator and its Fulfillment using a Dynamic CBR Approach”

DAS: Intelligent Scheduling Systems for Shipbuilding

Lee, J. K., Lee, K. J., Hong, J. S., Kim, W. J., Kim, E. Y., Choi, S. Y., Kim, H. D., Yang, O. R., Choi, H. R., “DAS: Intelligent Scheduling Systems for Shipbuilding”, AI Magazine, vol. 16, no. 2, pp. 78-94, Winter, 1995.pdf Abstract Daewoo Shipbuilding Company, one of the largest shipbuilders in the world,Continue reading “DAS: Intelligent Scheduling Systems for Shipbuilding”

A Spatial Scheduling System and its Application to Shipbuilding: DAS-CURVE

Lee, K. J., J. K. Lee, S. Y. Choi, “A Spatial Scheduling System and its Application to Shipbuilding: DAS-CURVE”, Expert Systems with Applications, vol. 10, no.3/4 , pp. 311-324, 1996.pdf Abstract Spatial scheduling considers not only traditional scheduling constraints like resource capacity and due dates, but also dynamic spatial layout of the objects. Automation ofContinue reading “A Spatial Scheduling System and its Application to Shipbuilding: DAS-CURVE”

Developing Scheduling Systems for Daewoo Shipbuilding: DAS Project

Lee, J. K., Lee, K. J., Park, H. K., Hong, J. S., Lee, J. S., “Developing Scheduling Systems for Daewoo Shipbuilding: DAS Project”, European Journal of Operational Research, vol. 97, no.2, pp.380-395, 1997.pdf Abstract Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, had difficulties with planning and scheduling its production process. ToContinue reading “Developing Scheduling Systems for Daewoo Shipbuilding: DAS Project”