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Max Bramer
Max A. Bramer
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2020 – today
- 2023
- [e30]Max Bramer, Frederic T. Stahl:
Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, Proceedings. Lecture Notes in Computer Science 14381, Springer 2023, ISBN 978-3-031-47993-9 [contents] - 2022
- [c31]Manal Almutairi, Frederic T. Stahl
, Max Bramer:
CRC: Consolidated Rules Construction for Expressive Ensemble Classification. SGAI Conf. 2022: 138-152 - [e29]Max Bramer, Frederic T. Stahl
Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13-15, 2022, Proceedings. Lecture Notes in Computer Science 13652, Springer 2022, ISBN 978-3-031-21440-0 [contents] - 2021
- [j30]Manal Almutairi, Frederic T. Stahl
ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification. IEEE Access 9: 52015-52035 (2021) - [e28]Max Bramer, Richard Ellis:
Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings. Lecture Notes in Computer Science 13101, Springer 2021, ISBN 978-3-030-91099-0 [contents] - 2020
- [b8]Max Bramer:
Principles of Data Mining, 4th Edition. Undergraduate Topics in Computer Science, Springer 2020, ISBN 978-1-4471-7492-9, pp. 1-466 - [e27]Max Bramer, Richard Ellis:
Artificial Intelligence XXXVII - 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15-17, 2020, Proceedings. Lecture Notes in Computer Science 12498, Springer 2020, ISBN 978-3-030-63798-9 [contents]
2010 – 2019
- 2019
- [e26]Max Bramer, Miltos Petridis:
Artificial Intelligence XXXVI - 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17-19, 2019, Proceedings. Lecture Notes in Computer Science 11927, Springer 2019, ISBN 978-3-030-34884-7 [contents] - 2018
- [c30]Manal Almutairi, Frederic T. Stahl
A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes. ICMLA 2018: 413-420 - [e25]Max Bramer, Miltos Petridis:
Artificial Intelligence XXXV - 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11-13, 2018, Proceedings. Lecture Notes in Computer Science 11311, Springer 2018, ISBN 978-3-030-04190-8 [contents] - 2017
- [c29]Manal Almutairi, Frederic T. Stahl, Max Bramer:
Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries. SGAI Conf. 2017: 115-128 - [e24]Max Bramer, Miltos Petridis:
Artificial Intelligence XXXIV - 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings. Lecture Notes in Computer Science 10630, Springer 2017, ISBN 978-3-319-71077-8 [contents] - 2016
- [b7]Max Bramer:
Principles of Data Mining, Third Edition. Undergraduate Topics in Computer Science, Springer 2016, ISBN 978-1-4471-7306-9, pp. 1-425 - [c28]Manal Almutairi, Frederic T. Stahl, Mathew Jennings, Thien Le, Max Bramer:
Towards Expressive Modular Rule Induction for Numerical Attributes. SGAI Conf. 2016: 229-235 - [e23]Max Bramer, Miltos Petridis:
Research and Development in Intelligent Systems XXXIII - Incorporating Applications and Innovations in Intelligent Systems XXIV. Proceedings of AI-2016, The Thirty-Sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 13-15, 2016. Springer 2016, ISBN 978-3-319-47174-7 [contents] - 2015
- [b6]Max Bramer:
Web Programming with PHP and MySQL - A Practical Guide. Springer 2015, ISBN 978-3-319-22658-3, pp. 1-384 - [j29]Frederic T. Stahl, David May, Hugo Mills, Max Bramer, Mohamed Medhat Gaber
A Scalable Expressive Ensemble Learning Using Random Prism: A MapReduce Approach. Trans. Large Scale Data Knowl. Centered Syst. 20: 90-107 (2015) - [e22]Max Bramer, Miltos Petridis:
Research and Development in Intelligent Systems XXXII - Incorporating Applications and Innovations in Intelligent Systems XXIII. Proceedings of AI-2015, The Thirty-Fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 15-17, 2015. Springer 2015, ISBN 978-3-319-25030-4 [contents] - 2014
- [j28]Frederic T. Stahl
Random Prism: a noise-tolerant alternative to Random Forests. Expert Syst. J. Knowl. Eng. 31(5): 411-420 (2014) - [e21]Max Bramer, Miltos Petridis:
Research and Development in Intelligent Systems XXXI, Incorporating Applications and Innovations in Intelligent Systems XXII. Proceedings of AI-2014, The Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 9-11, 2014. Springer 2014, ISBN 978-3-319-12068-3 [contents] - 2013
- [b5]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 - [b4]Max Bramer:
Logic Programming with Prolog. Springer 2013, ISBN 978-1-4471-5486-0, pp. i-xiii, 1-253 - [j27]Frederic T. Stahl
Scaling up classification rule induction through parallel processing. Knowl. Eng. Rev. 28(4): 451-478 (2013) - [e20]Max Bramer, Miltos Petridis:
Research and Development in Intelligent Systems XXX, Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, UK, December 10-12, 2013. Springer 2013, ISBN 978-3-319-02620-6 [contents] - 2012
- [j26]Max Bramer:
Special Issue on Innovative techniques and applications of artificial intelligence. Knowl. Based Syst. 29: 1-2 (2012) - [j25]Frederic T. Stahl
Jmax-pruning: A facility for the information theoretic pruning of modular classification rules. Knowl. Based Syst. 29: 12-19 (2012) - [j24]Frederic T. Stahl
Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks. Knowl. Based Syst. 35: 49-63 (2012) - [j23]Frederic T. Stahl, Mohamed Medhat Gaber
Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. Trans. Large Scale Data Knowl. Centered Syst. 5: 183-205 (2012) - [c27]Frederic T. Stahl, David May, Max Bramer:
Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification. SGAI Conf. 2012: 21-34 - [e19]Max Bramer, Miltos Petridis:
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 [contents] - 2011
- [c26]Frederic T. Stahl
Distributed hoeffding trees for pocket data mining. HPCS 2011: 686-692 - [c25]Frederic T. Stahl, Mohamed Medhat Gaber
Distributed Classification for Pocket Data Mining. ISMIS 2011: 336-345 - [c24]Frederic T. Stahl, Max Bramer:
Random Prism: An Alternative to Random Forests. SGAI Conf. 2011: 5-18 - [e18]Max Bramer, Miltos Petridis, Adrian Hopgood:
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 [contents] - [e17]Max Bramer, Miltos Petridis, Lars Nolle:
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 [contents] - 2010
- [j22]Max Bramer:
Guest Editorial. Knowl. Based Syst. 23(4): 285-286 (2010) - [c23]Frederic T. Stahl
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments. ICTAI (2) 2010: 323-330 - [c22]Frederic T. Stahl, Max Bramer, Mo Adda:
J-PMCRI: A Methodology for Inducing Pre-pruned Modular Classification Rules. IFIP AI 2010: 47-56 - [c21]Frederic T. Stahl, Max Bramer:
Induction of Modular Classification Rules: Using Jmax-pruning. SGAI Conf. 2010: 79-92 - [e16]Max Bramer:
Artificial Intelligence in Theory and Practice III - Third IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings. IFIP Advances in Information and Communication Technology 331, Springer 2010, ISBN 978-3-642-15285-6 [contents] - [e15]Harris Papadopoulos
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 [contents] - [e14]Max Bramer, Richard Ellis, Miltos Petridis:
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 [contents]
2000 – 2009
- 2009
- [j21]Ilias Maglogiannis
Special Issue on Emerging Artificial Intelligence Applications and Innovations: Papers from AIAI 2006. Appl. Intell. 30(1): 1-2 (2009) - [j20]Max Bramer:
Guest Editorial. Knowl. Based Syst. 22(7): 487-488 (2009) - [c20]Frederic T. Stahl, Max A. Bramer, Mo Adda:
PMCRI: A Parallel Modular Classification Rule Induction Framework. MLDM 2009: 148-162 - [c19]Frederic T. Stahl, Max Bramer, Mo Adda
Parallel Rule Induction with Information Theoretic Pre-Pruning. SGAI Conf. 2009: 151-164 - [p1]Houda Benbrahim
Text and Hypertext Categorization. Artificial Intelligence: An International Perspective 2009: 11-38 - [e13]Lazaros S. Iliadis, Ilias Maglogiannis, Grigorios Tsoumakas, Ioannis P. Vlahavas, Max Bramer:
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 [contents] - [e12]Max Bramer, Miltos Petridis, Frans Coenen:
Research and Development in Intelligent Systems XXV, Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 9-11 December, 2008. Springer 2009, ISBN 978-1-84882-170-5 [contents] - [e11]Max Bramer:
Artificial Intelligence: An International Perspective. Lecture Notes in Computer Science 5640, Springer 2009, ISBN 978-3-642-03225-7 [contents] - 2008
- [j19]Max Bramer:
Guest Editorial. Knowl. Based Syst. 21(3): 173-174 (2008) - [c18]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 - [c17]Houda Benbrahim
A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization. IFIP AI 2008: 97-106 - [c16]Frederic T. Stahl, Max Bramer, Mo Adda:
Parallel Induction of Modular Classification Rules. SGAI Conf. 2008: 343-348 - [e10]Max Bramer:
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 [contents] - [e9]Max Bramer, Frans Coenen, Miltos Petridis:
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 [contents] - 2007
- [b3]Max Bramer:
Principles of Data Mining. Undergraduate Topics in Computer Science, Springer 2007, ISBN 978-1-84628-765-7 - [j18]Max Bramer:
Guest Editorial. Knowl. Based Syst. 20(2): 111-112 (2007) - [c15]Frederic T. Stahl, Max Bramer:
Towards a Computationally Efficient Approach to Modular Classification Rule Induction. SGAI Conf. 2007: 357-362 - [e8]Max Bramer, Frans Coenen, Andrew Tuson:
Research and Development in Intelligent Systems XXIII, Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 11-13 December, 2006. Springer 2007, ISBN 978-1-84628-662-9 [contents] - 2006
- [j17]Max Bramer:
Guest Editorial. Knowl. Based Syst. 19(5): 289-290 (2006) - [c14]Max Bramer:
An Expert System Delivery Environment for the World Wide Web. AIAI 2006: 129-136 - [c13]Vikas Grover, Richard Adderley, Max Bramer:
Review of Current Crime Prediction Techniques. SGAI Conf. (Applications) 2006: 233-237 - [c12]Xiaoxia Wang
Exploring Web Search Results Clustering. SGAI Conf. 2006: 393-397 - [e7]Ilias Maglogiannis, Kostas Karpouzis, Max Bramer:
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 [contents] - [e6]Max Bramer:
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 [contents] - [e5]Max Bramer, Frans Coenen, Tony Allen:
Research and Development in Intelligent Systems XXII, Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 12-14 December 2005. Springer 2006, ISBN 978-1-84628-225-6 [contents] - 2005
- [b2]Max Bramer:
Logic Programming with Prolog. Springer 2005, ISBN 978-1-85233-938-8, pp. I-XIII, 1-223 - [j16]Max Bramer:
Inducer: a public domain workbench for data mining. Int. J. Syst. Sci. 36(14): 909-919 (2005) - [j15]Max Bramer:
Guest Editorial. Knowl. Based Syst. 18(4-5): 133-134 (2005) - [e4]Max Bramer, Vagan Y. Terziyan
Industrial Applications of Semantic Web - Proceedings of the 1st IFIP WG12.5 Working Conference on Industrial Applications of Semantic Web, August 25-27, 2005, Jyväskylä, Finland. IFIP 188, Springer 2005, ISBN 978-0-387-28568-9 [contents] - [e3]Max Bramer, Frans Coenen, Tony Allen:
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 [contents] - 2004
- [j14]Max Bramer:
Guest Editorial. Knowl. Based Syst. 17(2-4): 63-64 (2004) - [c11]Houda Benbrahim, Max Bramer:
Impact on Performance of Hypertext Classification of Selective Rich HTML Capture. AIAI 2004: 279-291 - [c10]Houda Benbrahim, Max Bramer:
Neighbourhood Exploitation in Hypertext Categorization. SGAI Conf. 2004: 258-268 - [c9]Houda Benbrahim
An empirical study for hypertext categorization. SMC (6) 2004: 5952-5957 - [e2]Max Bramer, Vladan Devedzic:
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. IFIP 154, Kluwer/Springer 2004, ISBN 1-4020-8150-2 [contents] - [e1]Max Bramer, Richard Ellis, Ann Macintosh:
Applications and Innovations in Intelligent Systems XI, Proceedings of AI2003, the Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 15-17 December, 2003. Springer 2004, ISBN 978-1-85233-779-7 [contents] - 2003
- [j13]Max Bramer:
Guest Editorial. Knowl. Based Syst. 16(5-6): 233-234 (2003) - [j12]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) - [c8]Max Bramer:
Knowledge Web: a public domain expert system delivery environment. SMC 2003: 2162-2168 - 2002
- [j11]Max Bramer:
Editorial. Knowl. Based Syst. 15(5-6): 263-264 (2002) - [j10]Max Bramer:
Using J-pruning to reduce overfitting in classification trees. Knowl. Based Syst. 15(5-6): 301-308 (2002) - [c7]Max Bramer:
Using J-Pruning to Reduce Overfitting of Classification Rules in Noisy Domains. DEXA 2002: 433-442 - [c6]Max Bramer:
Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains. IDEAL 2002: 7-12 - [c5]Max Bramer:
An Information-Theoretic Approach to the Pre-pruning of Classification Rules. Intelligent Information Processing 2002: 201-212 - 2001
- [j9]Max Bramer:
Guest Editorial. Knowl. Based Syst. 14(3-4): 119-120 (2001)
1990 – 1999
- 1999
- [j8]Max Bramer:
Es98. Knowl. Based Syst. 12(5-6): 205-206 (1999) - 1998
- [j7]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) - 1997
- [c4]Wei Zhong Liu, Allan P. White, Simon G. Thompson, Max A. Bramer:
Techniques for Dealing with Missing Values in Classification. IDA 1997: 527-536 - 1995
- [c3]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
1980 – 1989
- 1989
- [c2]Elisabeth Bacon, Sati McKenzie, Mike Smith, John Bingham, Max Bramer:
GAUSS: A Generalised Approach to Updating Scanner Strategies. AIME 1989: 276-285 - 1988
- [j6]B. E. P. Alden, Max A. Bramer:
An Expert System for Solving Retrograde-Analysis Chess Problems. Int. J. Man Mach. Stud. 29(2): 97-112 (1988) - 1986
- [j5]Max Bramer:
KPK Endgame Databases: A Response from the Source. J. Int. Comput. Games Assoc. 9(3): 150-151 (1986) - 1984
- [j4]Jadzia Cendrowska, Max A. Bramer:
A Rational Reconstruction of the MYCIN Consultation System. Int. J. Man Mach. Stud. 20(3): 229-317 (1984) - 1982
- [j3]Max A. Bramer:
Game-playing programs: theory and practice. SIGART Newsl. 80: 62-168 (1982) - 1980
- [j2]Max A. Bramer:
Correct and Optimal Strategies in Game Playing Programs. Comput. J. 23(4): 347-352 (1980)
1970 – 1979
- 1979
- [c1]Max A. Bramer:
Testing Correctness of Strategies in Game-Playing Programs. IJCAI 1979: 92-94 - 1978
- [j1]Max Bramer:
Advances in computer chess. SIGART Newsl. 67: 14 (1978) - 1977
- [b1]Max A. Bramer:
Representation of Knowledge for Chess Endgames Towards a Self-Improving System. Open University, Milton Keynes, UK, 1977
Coauthor Index
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