| Financial time series forecasting using support vector machines K Kim Neurocomputing 55 (1-2), 307-319, 2003 | 2273 | 2003 |
| Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index K Kim, I Han Expert systems with Applications 19 (2), 125-132, 2000 | 1001 | 2000 |
| A recommender system using GA K-means clustering in an online shopping market K Kim, H Ahn Expert systems with applications 34 (2), 1200-1209, 2008 | 463 | 2008 |
| Factors affecting the implementation success of Internet-based information systems S Lee, K Kim Computers in human behavior 23 (4), 1853-1880, 2007 | 329 | 2007 |
| Artificial neural networks with evolutionary instance selection for financial forecasting K Kim Expert Systems with Applications 30 (3), 519-526, 2006 | 289 | 2006 |
| Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach H Ahn, K Kim Applied soft computing 9 (2), 599-607, 2009 | 257 | 2009 |
| A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach K Kim, H Ahn Computers & Operations Research 39 (8), 1800-1811, 2012 | 202 | 2012 |
| Stock market prediction using artificial neural networks with optimal feature transformation K Kim, WB Lee Neural computing & applications 13, 255-260, 2004 | 188 | 2004 |
| Analyzing stock market tick data using piecewise nonlinear model KJ Oh, K Kim Expert Systems with Applications 22 (3), 249-255, 2002 | 167 | 2002 |
| Global optimization of case-based reasoning for breast cytology diagnosis H Ahn, K Kim Expert Systems with Applications 36 (1), 724-734, 2009 | 113 | 2009 |
| Toward global optimization of case-based reasoning systems for financial forecasting K Kim Applied intelligence 21, 239-249, 2004 | 104 | 2004 |
| A case-based reasoning system with the two-dimensional reduction technique for customer classification H Ahn, K Kim, I Han Expert Systems with Applications 32 (4), 1011-1019, 2007 | 84 | 2007 |
| Simultaneous optimization of artificial neural networks for financial forecasting KJ Kim, H Ahn Applied Intelligence 36, 887-898, 2012 | 81 | 2012 |
| Maintaining case-based reasoning systems using a genetic algorithms approach K Kim, I Han Expert Systems with Applications 21 (3), 139-145, 2001 | 76 | 2001 |
| Global optimization of feature weights and the number of neighbors that combine in a case‐based reasoning system H Ahn, K Kim, I Han Expert Systems 23 (5), 290-301, 2006 | 72 | 2006 |
| Hybrid genetic algorithms and case‐based reasoning systems for customer classification H Ahn, K Kim, I Han Expert Systems 23 (3), 127-144, 2006 | 72 | 2006 |
| Application of a hybrid genetic algorithm and neural network approach in activity-based costing K Kim, I Han Expert Systems with Applications 24 (1), 73-77, 2003 | 72 | 2003 |
| Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures KJ Kim Intelligent Systems in Accounting, Finance & Management: International …, 2004 | 51 | 2004 |
| Using a clustering genetic algorithm to support customer segmentation for personalized recommender systems K Kim, H Ahn International Conference on AI, Simulation, and Planning in High Autonomy …, 2004 | 45 | 2004 |
| Mobile advertisement recommender system using collaborative filtering: MAR-CF H Ahn, K Kim, I Han KGSF-Conference 2006, 709-715, 2006 | 44 | 2006 |
