Richard Weber

Orcid: 0000-0002-6351-1065

Affiliations:
  • Universidad de Chile, Department of Industrial Ingeneering, Chile
  • MIT GmbH, Aachen, Germany
  • RWTH Aachen University, Institut für Wirtschaftswissenschaften, Germany (PhD 1992)


According to our database1, Richard Weber authored at least 66 papers between 1991 and 2023.

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Bibliography

2023
Generalized black hole clustering algorithm.
Pattern Recognit. Lett., December, 2023

Dynamic community detection including node attributes.
Expert Syst. Appl., August, 2023

2022
Rough-Fuzzy Support Vector Clustering with OWA Operators.
Inteligencia Artif., 2022

2020
Credit scoring using three-way decisions with probabilistic rough sets.
Inf. Sci., 2020

Integrating relations and criminal background to identifying key individuals in crime networks.
Decis. Support Syst., 2020

A novel approach to detect associations in criminal networks.
Decis. Support Syst., 2020

2019
Overlapping Community Detection in Static and Dynamic Social Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A non-negative matrix factorization approach to update communities in temporal networks using node features.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
dynXcube - Categorizing dynamic data analysis.
Inf. Sci., 2018

Fifty years of Information Sciences: A bibliometric overview.
Inf. Sci., 2018

Metro Uses a Simulation-Optimization Approach to Improve Fare-Collection Shift Scheduling.
Interfaces, 2018

Dynamic Rough-Fuzzy Support Vector Domain Description for Outlier Detection.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Dynamic Rough-Fuzzy Support Vector Clustering.
IEEE Trans. Fuzzy Syst., 2017

Adversarial classification using signaling games with an application to phishing detection.
Data Min. Knowl. Discov., 2017

Special issue "Applied soft computing for business analytics".
Appl. Soft Comput., 2017

2016
A Rough-Fuzzy approach for Support Vector Clustering.
Inf. Sci., 2016

2015
Editorial of the special issue data analysis and intelligent optimization with applications.
Mach. Learn., 2015

Improving credit scoring by differentiating defaulter behaviour.
J. Oper. Res. Soc., 2015

Kernel Penalized K-means: A feature selection method based on Kernel K-means.
Inf. Sci., 2015

Advanced conjoint analysis using feature selection via support vector machines.
Eur. J. Oper. Res., 2015

Profit-based feature selection using support vector machines - General framework and an application for customer retention.
Appl. Soft Comput., 2015

Rough-Fuzzy Support Vector Domain Description for outlier detection.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines.
Inf. Sci., 2014

Feature selection for Support Vector Machines via Mixed Integer Linear Programming.
Inf. Sci., 2014

Development and application of consumer credit scoring models using profit-based classification measures.
Eur. J. Oper. Res., 2014

2013
Generating crime data using agent-based simulation.
Comput. Environ. Urban Syst., 2013

Soft clustering - Fuzzy and rough approaches and their extensions and derivatives.
Int. J. Approx. Reason., 2013

Granting and managing loans for micro-entrepreneurs: New developments and practical experiences.
Eur. J. Oper. Res., 2013

2012
Dynamic clustering with soft computing.
WIREs Data Mining Knowl. Discov., 2012

Dynamic rough clustering and its applications.
Appl. Soft Comput., 2012

2011
Simultaneous feature selection and classification using kernel-penalized support vector machines.
Inf. Sci., 2011

A class of dynamic rough partitive algorithms.
Int. J. Intell. Syst., 2011

Future trends in business analytics and optimization.
Intell. Data Anal., 2011

Embedded Feature Selection for Support Vector Machines: State-of-the-Art and Future Challenges.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

Semi-supervised Constrained Clustering with Cluster Outlier Filtering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
A model updating strategy for predicting time series with seasonal patterns.
Appl. Soft Comput., 2010

Latent semantic analysis and keyword extraction for phishing classification.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2010

Modeling Pricing Strategies Using Game Theory and Support Vector Machines.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Feature selection for support vector regression via Kernel penalization.
Proceedings of the International Joint Conference on Neural Networks, 2010

Game Theory & Data Mining model for price dynamics in financial institutions.
Proceedings of the International Joint Conference on Neural Networks, 2010

Uncertainty modeling in dynamic clustering - A soft computing perspective.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Online phishing classification using adversarial data mining and signaling games.
SIGKDD Explor., 2009

A wrapper method for feature selection using Support Vector Machines.
Inf. Sci., 2009

2008
Evolutionary Rough k-Medoid Clustering.
Trans. Rough Sets, 2008

Special issue on soft computing for dynamic data mining.
Appl. Soft Comput., 2008

An Application of Rough Set Concepts to Workflow Management.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

A Dynamic Approach to Rough Clustering.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

A Hybrid System for Probability Estimation in Multiclass Problems Combining SVMs and Neural Networks.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Improved supply chain management based on hybrid demand forecasts.
Appl. Soft Comput., 2007

A Sequential Hybrid Forecasting System for Demand Prediction.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006
A Forecasting Methodology Using Support Vector Regression and Dynamic Feature Selection.
J. Inf. Knowl. Manag., 2006

A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006

The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction.
Proceedings of the 2006 International Conference on Data Mining, 2006

2005
Acquisition and Maintenance of Knowledge for Online Navigation Suggestions.
IEICE Trans. Inf. Syst., 2005

A methodology for dynamic data mining based on fuzzy clustering.
Fuzzy Sets Syst., 2005

Linear Penalization Support Vector Machines for Feature Selection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

A Hybrid Forecasting Methodology using Feature Selection and Support Vector Regression.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
A methodology for web usage mining and its application to target group identification.
Fuzzy Sets Syst., 2004

2003
Soquimich Uses a System Based on Mixed-Integer Linear Programming and Expert Systems to Improve Customer Service.
Interfaces, 2003

Using the KDD Process to Support Web Site Reconfigurations.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

2002
Identifying web usage behavior of bank customers.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2002

2000
Komplexitätsreduktion in der Szenarioanalyse mit Hilfe dynamischer Fuzzy-Datenanalyse.
OR Spectr., 2000

1999
Automatic fault detection in gearboxes by dynamic fuzzy data analysis.
Fuzzy Sets Syst., 1999

Dynamic fuzzy data analysis based on similarity between functions.
Fuzzy Sets Syst., 1999

1992
Entwicklung und Anwendung von Verfahren zur automatischen Akquisition unsicheren Wissens.
PhD thesis, 1992

1991
Automatische Akquisition von unscharfem Expertenwissen.
Künstliche Intell., 1991


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