Max Bramer

According to our database1, Max Bramer authored at least 62 papers between 1977 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
CRC: Consolidated Rules Construction for Expressive Ensemble Classification.
Proceedings of the Artificial Intelligence XXXIX, 2022

2021
ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification.
IEEE Access, 2021

2020
Principles of Data Mining, 4th Edition
Undergraduate Topics in Computer Science, Springer, ISBN: 978-1-4471-7492-9, 2020

2018
A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries.
Proceedings of the Artificial Intelligence XXXIV, 2017

2016
Principles of Data Mining, Third Edition
Undergraduate Topics in Computer Science, Springer, ISBN: 978-1-4471-7307-6, 2016

Towards Expressive Modular Rule Induction for Numerical Attributes.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015
A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach.
Trans. Large Scale Data Knowl. Centered Syst., 2015

Web Programming with PHP and MySQL - A Practical Guide
Springer, ISBN: 978-3-319-22659-0, 2015

2014
Random Prism: a noise-tolerant alternative to Random Forests.
Expert Syst. J. Knowl. Eng., 2014

2013
Scaling up classification rule induction through parallel processing.
Knowl. Eng. Rev., 2013

Logic Programming with Prolog.
Springer, ISBN: 978-1-4471-5487-7, 2013

Principles of Data Mining, Second Edition.
Undergraduate Topics in Computer Science, Springer, ISBN: 978-1-4471-4884-5, 2013

2012
Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.
Trans. Large Scale Data Knowl. Centered Syst., 2012

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks.
Knowl. Based Syst., 2012

Jmax-pruning: A facility for the information theoretic pruning of modular classification rules.
Knowl. Based Syst., 2012

Special Issue on Innovative techniques and applications of artificial intelligence.
Knowl. Based Syst., 2012

Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

2011
Random Prism: An Alternative to Random Forests.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Distributed Classification for Pocket Data Mining.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Distributed hoeffding trees for pocket data mining.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

2010
Induction of Modular Classification Rules: Using Jmax-pruning.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

J-PMCRI: A Methodology for Inducing Pre-pruned Modular Classification Rules.
Proceedings of the Artificial Intelligence in Theory and Practice III, 2010

Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Text and Hypertext Categorization.
Proceedings of the Artificial Intelligence: An International Perspective, 2009

Special Issue on Emerging Artificial Intelligence Applications and Innovations: Papers from AIAI 2006.
Appl. Intell., 2009

Parallel Rule Induction with Information Theoretic Pre-Pruning.
Proceedings of the Research and Development in Intelligent Systems XXVI, 2009

PMCRI: A Parallel Modular Classification Rule Induction Framework.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2008
Parallel Induction of Modular Classification Rules.
Proceedings of the Research and Development in Intelligent Systems XXV, 2008

P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

2007
Guest Editorial.
Knowl. Based Syst., 2007

Towards a Computationally Efficient Approach to Modular Classification Rule Induction.
Proceedings of the Research and Development in Intelligent Systems XXIV, 2007

Principles of Data Mining
Undergraduate Topics in Computer Science, Springer, ISBN: 978-1-84628-765-7, 2007

2006
Exploring Web Search Results Clustering.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

Review of Current Crime Prediction Techniques.
Proceedings of the Applications and Innovations in Intelligent Systems XIV, 2006

An Expert System Delivery Environment for the World Wide Web.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

2005
Inducer: a public domain workbench for data mining.
Int. J. Syst. Sci., 2005

Logic Programming with Prolog
Springer, ISBN: 978-1-85233-938-8, 2005

2004
An empirical study for hypertext categorization.
Proceedings of the IEEE International Conference on Systems, 2004

Neighbourhood Exploitation in Hypertext Categorization.
Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Impact on Performance of Hypertext Classification of Selective Rich HTML Capture.
Proceedings of the Artificial Intelligence Applications and Innovations, 2004

2003
Intelligent data analysis for conservation: experiments with rhino horn fingerprint identification.
Knowl. Based Syst., 2003

Knowledge Web: a public domain expert system delivery environment.
Proceedings of the IEEE International Conference on Systems, 2003

2002
Using <i>J</i>-pruning to reduce overfitting in classification trees.
Knowl. Based Syst., 2002

Editorial.
Knowl. Based Syst., 2002

An Information-Theoretic Approach to the Pre-pruning of Classification Rules.
Proceedings of the Intelligent Information Processing, 2002

Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Using J-Pruning to Reduce Overfitting of Classification Rules in Noisy Domains.
Proceedings of the Database and Expert Systems Applications, 13th International Conference, 2002

1999
Knowl. Based Syst., 1999

1998
Concept dispersion, feature interaction and their effect on particular sources of bias in machine learning.
Knowl. Based Syst., 1998

1997
Techniques for Dealing with Missing Values in Classification.
Proceedings of the Advances in Intelligent Data Analysis, 1997

1995
Case-Based Reasoning: A Technique for "Decision Support Systems" in Residential Valuation and the Construction of Residential Housing.
Proceedings of the Progress in Case-Based Reasoning, 1995

1989
GAUSS: A Generalised Approach to Updating Scanner Strategies.
Proceedings of the AIME 89, 1989

1988
An Expert System for Solving Retrograde-Analysis Chess Problems.
Int. J. Man Mach. Stud., 1988

1986
KPK Endgame Databases: A Response from the Source.
J. Int. Comput. Games Assoc., 1986

1984
A Rational Reconstruction of the MYCIN Consultation System.
Int. J. Man Mach. Stud., 1984

1982
Game-playing programs: theory and practice.
SIGART Newsl., 1982

1980
Correct and Optimal Strategies in Game Playing Programs.
Comput. J., 1980

1979
Testing Correctness of Strategies in Game-Playing Programs.
Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979

1978
Advances in computer chess.
SIGART Newsl., 1978

1977
Representation of Knowledge for Chess Endgames Towards a Self-Improving System.
PhD thesis, 1977


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