| 2008 |
|---|
| 24 | | Georg Peters,
Florian Thoma,
Richard Weber:
Network Externalities for Enterprise Resource Planning Software - A Research Roadmap.
ICEIS (1) 2008: 97-104 |
| 23 | | Georg Peters,
Matthias Damm,
Richard Weber:
Consumer-to-Consumer Trust in E-Commerce - Are there Rules for Writing Helpful Product Reviews.
ICEIS (4) 2008: 61-66 |
| 22 | EE | Georg Peters,
Richard Weber:
A Dynamic Approach to Rough Clustering.
RSCTC 2008: 379-388 |
| 21 | EE | Georg Peters,
Roger Tagg,
Richard Weber:
An Application of Rough Set Concepts to Workflow Management.
RSKT 2008: 715-722 |
| 20 | EE | Witold Pedrycz,
Richard Weber:
Special issue on soft computing for dynamic data mining.
Appl. Soft Comput. 8(4): 1281-1282 (2008) |
| 19 | | Sergios Soursos,
Costas Courcoubetis,
Richard Weber:
Dynamic Bandwidth Pricing: Provision Cost, Market Size, Effective Bandwidths and Price Games.
J. UCS 14(5): 766-785 (2008) |
| 18 | EE | Georg Peters,
Martin Lampart,
Richard Weber:
Evolutionary Rough k-Medoid Clustering.
T. Rough Sets 8: 289-306 (2008) |
| 2007 |
|---|
| 17 | EE | Luis Aburto,
Richard Weber:
A Sequential Hybrid Forecasting System for Demand Prediction.
MLDM 2007: 518-532 |
| 16 | EE | Luis Aburto,
Richard Weber:
Improved supply chain management based on hybrid demand forecasts.
Appl. Soft Comput. 7(1): 136-144 (2007) |
| 2006 |
|---|
| 15 | | Sven F. Crone,
Jose Guajardo,
Richard Weber:
The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction.
DMIN 2006: 37-44 |
| 14 | EE | Sven F. Crone,
Jose Guajardo,
Richard Weber:
A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns.
IFIP AI 2006: 149-158 |
| 13 | EE | Jose Guajardo,
Richard Weber,
Jaime Miranda:
A Forecasting Methodology Using Support Vector Regression and Dynamic Feature Selection.
JIKM 5(4): 329-335 (2006) |
| 2005 |
|---|
| 12 | EE | Jose Guajardo,
Jaime Miranda,
Richard Weber:
A Hybrid Forecasting Methodology using Feature Selection and Support Vector Regression.
HIS 2005: 341-346 |
| 11 | EE | Jaime Miranda,
Ricardo Montoya,
Richard Weber:
Linear Penalization Support Vector Machines for Feature Selection.
PReMI 2005: 188-192 |
| 10 | EE | Fernando Crespo,
Richard Weber:
A methodology for dynamic data mining based on fuzzy clustering.
Fuzzy Sets and Systems 150(2): 267-284 (2005) |
| 9 | EE | Juan D. Velásquez,
Richard Weber,
Hiroshi Yasuda,
Terumasa Aoki:
Acquisition and Maintenance of Knowledge for Online Navigation Suggestions.
IEICE Transactions 88-D(5): 993-1003 (2005) |
| 2004 |
|---|
| 8 | EE | Juan D. Velásquez,
Richard Weber,
Hiroshi Yasuda,
Terumasa Aoki:
A Methodology to Find Web Site Keywords.
EEE 2004: 285-292 |
| 7 | EE | Sandro Araya,
Mariano Silva,
Richard Weber:
A methodology for web usage mining and its application to target group identification.
Fuzzy Sets and Systems 148(1): 139-152 (2004) |
| 2003 |
|---|
| 6 | EE | Juan D. Velásquez,
Hiroshi Yasuda,
Terumasa Aoki,
Richard Weber,
Eduardo S. Vera:
Using Self Organizing Feature Maps to Acquire Knowledge about Visitor Behavior in a Web Site.
KES 2003: 951-958 |
| 5 | EE | Juan D. Velásquez,
Hiroshi Yasuda,
Terumasa Aoki,
Richard Weber:
Using the KDD Process to Support Web Site Reconfigurations.
Web Intelligence 2003: 511-515 |
| 2002 |
|---|
| 4 | | Juan D. Velásquez,
Hiroshi Yasuda,
Terumasa Aoki,
Richard Weber:
Voice Codification using Self Organizing Maps as Data Mining Tool.
HIS 2002: 480-489 |
| 1997 |
|---|
| 3 | EE | Fazel Famili,
Wei-Min Shen,
Richard Weber,
Evangelos Simoudis:
Data Preprocessing and Intelligent Data Analysis.
Intell. Data Anal. 1(1-4): 3-23 (1997) |
| 1993 |
|---|
| 2 | EE | Shaler Stidham Jr.,
Richard Weber:
A survey of Markov decision models for control of networks of queues.
Queueing Syst. 13(1-3): 291-314 (1993) |
| 1991 |
|---|
| 1 | | Richard Weber,
Hans-Jürgen Zimmermann:
Automatische Akquisition von unscharfem Expertenwissen.
KI 5(2): 20-26 (1991) |
