Max Bramer

Max A. Bramer: Principles of Data Mining, Second Edition. Undergraduate topics in computer science, Springer 2013, isbn 978-1-4471-4883-8, pp. I-XIV, 1-440

Max Bramer: Special Issue on Innovative techniques and applications of artificial intelligence. Knowl.-Based Syst. 29: 1-2 (2012)

Frederic Stahl, Max Bramer: Jmax-pruning: A facility for the information theoretic pruning of modular classification rules. Knowl.-Based Syst. 29: 12-19 (2012)

Frederic Stahl, Max Bramer: Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks. Knowl.-Based Syst. 35: 49-63 (2012)

Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu: Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. T. Large-Scale Data- and Knowledge-Centered Systems 5: 183-205 (2012)

Frederic Stahl, David May, Max Bramer: Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification. SGAI Conf. 2012: 21-34

Max Bramer, Miltos Petridis (Eds.): Research and Development in Intelligent Systems XXIX, Incorporating Applications and Innovations in Intelligent Systems XX: Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, UK, December 11-13, 2012. Springer 2012, isbn 978-1-4471-4738-1

Frederic Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu: Distributed hoeffding trees for pocket data mining. HPCS 2011: 686-692

Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu: Distributed Classification for Pocket Data Mining. ISMIS 2011: 336-345

Frederic Stahl, Max Bramer: Random Prism: An Alternative to Random Forests. SGAI Conf. 2011: 5-18

Max Bramer, Miltos Petridis, Adrian Hopgood (Eds.): Research and Development in Intelligent Systems XXVII - Incorporating Applications and Innovations in Intelligent Systems XVIII Proceedings of AI-2010, The Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, UK, 14-16 December 2010. Springer 2011, isbn 978-0-85729-129-5

Max Bramer, Miltos Petridis, Lars Nolle (Eds.): Research and Development in Intelligent Systems XXVIII - Incorporating Applications and Innovations in Intelligent Systems XIX Proceedings of AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2011. Springer 2011, isbn 978-1-4471-2317-0

Max Bramer: Guest Editorial. Knowl.-Based Syst. 23(4): 285-286 (2010)

Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu: Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments. ICTAI (2) 2010: 323-330

Frederic T. Stahl, Max Bramer: Induction of Modular Classification Rules: Using Jmax-pruning. SGAI Conf. 2010: 79-92

Harris Papadopoulos, Andreas S. Andreou, Max Bramer (Eds.): Artificial Intelligence Applications and Innovations - 6th IFIP WG 12.5 International Conference, AIAI 2010, Larnaca, Cyprus, October 6-7, 2010. Proceedings. IFIP Advances in Information and Communication Technology 339, Springer 2010, isbn 978-3-642-16238-1

Max Bramer, Richard Ellis, Miltos Petridis (Eds.): Research and Development in Intelligent Systems XXVI, Incorporating Applications and Innovations in Intelligent Systems XVII, Peterhouse College, Cambridge, UK, 15-17 December 2009. Springer 2010, isbn 978-1-84882-983-1

Max Bramer (Ed.): Artificial Intelligence: An International Perspective. Lecture Notes in Computer Science 5640, Springer 2009, isbn 978-3-642-03225-7

Ilias Maglogiannis, Kostas Karpouzis, Max Bramer: Special Issue on Emerging Artificial Intelligence Applications and Innovations: Papers from AIAI 2006. Appl. Intell. 30(1): 1-2 (2009)

Max Bramer: Guest Editorial. Knowl.-Based Syst. 22(7): 487-488 (2009)

Frederic T. Stahl, Max A. Bramer, Mo Adda: PMCRI: A Parallel Modular Classification Rule Induction Framework. MLDM 2009: 148-162

Frederic T. Stahl, Max Bramer, Mo Adda: Parallel Rule Induction with Information Theoretic Pre-Pruning. SGAI Conf. 2009: 151-164

Houda Benbrahim, Max Bramer: Text and Hypertext Categorization. Artificial Intelligence: An International Perspective 2009: 11-38

Lazaros S. Iliadis, Ilias Maglogiannis, Grigorios Tsoumakas, Ioannis P. Vlahavas, Max Bramer (Eds.): Artificial Intelligence Applications and Innovations III, Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), April 23-25, 2009, Thessaloniki, Greece. IFIP Advances in Information and Communication Technology 296, Springer 2009, isbn 978-1-4419-0220-7

Max Bramer: Guest Editorial. Knowl.-Based Syst. 21(3): 173-174 (2008)

Frederic T. Stahl, Max A. Bramer, Mo Adda: P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction. IFIP AI 2008: 77-86

Houda Benbrahim, Max Bramer: A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization. IFIP AI 2008: 97-106

Max Bramer (Ed.): Artificial Intelligence in Theory and Practice II, IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy. IFIP 276, Springer 2008, isbn 978-0-387-09694-0

Max Bramer, Frans Coenen, Miltos Petridis (Eds.): Research and Development in Intelligent Systems XXIV, Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2007. Springer 2008, isbn 978-1-84800-094-0

Max Bramer: Principles of Data Mining. Springer 2007, isbn 978-1-84628-765-7

Max Bramer: Guest Editorial. Knowl.-Based Syst. 20(2): 111-112 (2007)

Frederic T. Stahl, Max Bramer: Towards a Computationally Efficient Approach to Modular Classification Rule Induction. SGAI Conf. 2007: 357-362

Max Bramer: Guest Editorial. Knowl.-Based Syst. 19(5): 289-290 (2006)

Max Bramer: An Expert System Delivery Environment for the World Wide Web. AIAI 2006: 129-136

Ilias Maglogiannis, Kostas Karpouzis, Max Bramer (Eds.): Artificial Intelligence Applications and Innovations, 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) 2006, June 7-9, 2006, Athens, Greece. IFIP 204, Springer 2006, isbn 0-387-34223-0

Max Bramer (Ed.): Artificial Intelligence in Theory and Practice, IFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile. IFIP 217, Springer 2006, isbn 0-387-34654-6

Max Bramer: Logic Programming with Prolog. Springer 2005, isbn 978-1-85233-938-8, pp. I-XIII, 1-223

Max Bramer: Inducer: a public domain workbench for data mining. Int. J. Systems Science 36(14): 909-919 (2005)

Max Bramer: Guest Editorial. Knowl.-Based Syst. 18(4-5): 133-134 (2005)

Max Bramer, Frans Coenen, Tony Allen (Eds.): Research and Development in Intelligent Systems XXI, Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Queens' College, Cambridge, UK, 13-15 December 2004. Springer 2005, isbn 1-85233-907-1

Max Bramer: Guest Editorial. Knowl.-Based Syst. 17(2-4): 63-64 (2004)

Houda Benbrahim, Max Bramer: Impact on Performance of Hypertext Classification of Selective Rich HTML Capture. AIAI 2004: 279-292

Houda Benbrahim, Max Bramer: Neighbourhood Exploitation in Hypertext Categorization. SGAI Conf. 2004: 258-268

Houda Benbrahim, Max Bramer: An empirical study for hypertext categorization. SMC (6) 2004: 5952-5957

Max Bramer, Vladan Devedzic (Eds.): Artificial Intelligence Applications and Innovations, IFIP 18th World Computer Congress, TC12 First International Conference on Artificial Intelligence Applications and Innovations (AIAI-2004), 22-27 August 2004, Toulouse, France. Kluwer 2004, isbn 1-4020-8150-2

Max Bramer: Guest Editorial. Knowl.-Based Syst. 16(5-6): 233-234 (2003)

Rajan Amin, Max Bramer, Richard Emslie: Intelligent data analysis for conservation: experiments with rhino horn fingerprint identification. Knowl.-Based Syst. 16(5-6): 329-336 (2003)

Max Bramer: Knowledge Web: a public domain expert system delivery environment. SMC 2003: 2162-2168

Max Bramer: Editorial. Knowl.-Based Syst. 15(5-6): 263-264 (2002)

Max Bramer: Using J-pruning to reduce overfitting in classification trees. Knowl.-Based Syst. 15(5-6): 301-308 (2002)

Max Bramer: Using J-Pruning to Reduce Overfitting of Classification Rules in Noisy Domains. DEXA 2002: 433-442

Max Bramer: Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains. IDEAL 2002: 7-12

Max Bramer: An Information-Theoretic Approach to the Pre-pruning of Classification Rules. Intelligent Information Processing 2002: 201-212

Max Bramer: Guest Editorial. Knowl.-Based Syst. 14(3-4): 119-120 (2001)

Max Bramer: Es98. Knowl.-Based Syst. 12(5-6): 205-206 (1999)

Kamal Nazar, Max A. Bramer: Concept dispersion, feature interaction and their effect on particular sources of bias in machine learning. Knowl.-Based Syst. 11(5-6): 275-283 (1998)

Wei Zhong Liu, Allan P. White, Simon G. Thompson, Max A. Bramer: Techniques for Dealing with Missing Values in Classification. IDA 1997: 527-536

Ilesh Dattani, Max Bramer: Case-Based Reasoning: A Technique for "Decision Support Systems" in Residential Valuation and the Construction of Residential Housing. UK Workshop on Case-Based Reasoning 1995: 142-151

B. E. P. Alden, Max A. Bramer: An Expert System for Solving Retrograde-Analysis Chess Problems. International Journal of Man-Machine Studies 29(2): 97-112 (1988)

Jadzia Cendrowska, Max A. Bramer: A Rational Reconstruction of the MYCIN Consultation System. International Journal of Man-Machine Studies 20(3): 229-317 (1984)

Max A. Bramer: Correct and Optimal Strategies in Game Playing Programs. Comput. J. 23(4): 347-352 (1980)

Max A. Bramer: Testing Correctness of Strategies in Game-Playing Programs. IJCAI 1979: 92-94