Some Recent Publications

	Knowledge Discovery and Data Mining, published by the IEE in the Professional Applications of Computing series, 1999. An edited collection of refereed papers covering both theory and practice in this important field.
	Logic Programming With Prolog. Published by Springer-Verlag. Summer 2005. Teaches the techniques of Logic Programming through the Prolog language.
	Principles of Data Mining. Published by Springer-Verlag. March 2007. Explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering.

1. F.T.Stahl, M.A.Bramer and M.Adda (2008)
   Parallel Induction of Modular Classification Rules
   In: Research and Development in Intelligent Systems XXV, Springer. (In press.)
2. M.A.Bramer (ed.) (2008)
   Artificial Intelligence in Theory and Practice II
   Springer Science+Business Media. ISBN 978-0-387-09694-0
3. F.T.Stahl, M.A.Bramer and M.Adda (2008)
   P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
   In: Artificial Intelligence in Theory and Practice II, Springer, pp. 77-86. ISBN 978-0-387-09694-0
4. H.Benbrahim and M.A.Bramer (2008)
   A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization
   In: Artificial Intelligence in Theory and Practice II, Springer, pp. 97-106. ISBN 978-0-387-09694-0
5. M.A.Bramer (ed.) (2008)
   Special Issue of Knowledge Based Systems Journal
   Vol. 21, No.3. April 2008. Elsevier. ISSN 0950-7051
6. M.A.Bramer, F.Coenen and M.Petridis (eds.) (2008)
   Research and Development in Intelligent Systems XXIV
   Springer-Verlag. ISBN 978-1-84800-093-3
7. M.A.Bramer (ed.) (2007)
   Special Issue of the International Journal of Applied Intelligence on 'Emerging Artificial Intelligence Applications and Innovations'
   Springer. ISSN: 0924-669X (in press)
8. F.Stahl and M.A.Bramer (2007)
   Towards a Computationally Efficient Approach to Modular Classification Rule Induction
   In: Research and Development in Intelligent Systems XXIV, Springer-Verlag, pp. 357-362. ISBN 978-1-84800-093-3.
9. M.A.Bramer (ed.) (2007)
   Special Issue of Knowledge Based Systems Journal
   Vol. 20, No.2. March 2007. Elsevier. ISSN 0950-7051
10. M.A.Bramer (2007)
    Principles of Data Mining
    Springer-Verlag. ISBN: 978-1-84628-765-7.
11. M.A.Bramer, F.Coenen and A.Tuson (eds.) (2007)
    Research and Development in Intelligent Systems XXIII
    Springer-Verlag. ISBN 1-84628-662-X
12. V.Grover, M.A.Bramer and R.Adderley (2007)
    Review of Current Crime Prediction Techniques
    In Applications and Innovations in Intelligent Systems XIV, Springer Verlag, pp. 233-237. ISBN 1-84628-665-4.
13. X.Wang and M.A.Bramer (2007)
    Exploring Web Search Results Clustering
    In Research and Development in Intelligent Systems XXIII, Springer Verlag, pp. 393-397. ISBN 1-84628-662-X.
14. V.Grover, M.A.Bramer and R.Adderley (2006)
    Review of Current Crime Prediction Techniques expanded version)
    University of Portsmouth, School of Computing, Research Report UoP-AI-2006-002.
15. X.Wang and M.A.Bramer (2006)
    Exploring Web Search Results Clustering [expanded version]
    University of Portsmouth, School of Computing, Research Report UoP-AI-2006-001.
16. M.A.Bramer (ed.) (2006)
    Artificial Intelligence in Theory and Practice
    Springer Science+Business Media. ISBN 0-387-34654-6.
17. M.A.Bramer (ed.) (2006)
    Special Issue of Knowledge Based Systems Journal
    Vol. 19, No. 5. September 2006. Elsevier.
18. M.A.Bramer (2006)
    An Expert System Delivery Environment for the World Wide Web
    In Artificial Intelligence Applications and Innovations: the third IFIP Conference on Artificial Intelligence Applications and Innovations, Springer, pp. 129-136. ISBN 0-387-34223-0.
19. I.Maglogiannis, K.Karpouzis and M.A.Bramer (2006).
    Artificial Intelligence Applications and Innovations: the third IFIP Conference on Artificial Intelligence Applications and Innovations
    Springer. ISBN 0-387-34223-0
20. M.A.Bramer, F.Coenen and T.Allen (eds.) (2006)
    Research and Development in Intelligent Systems XXII
    Springer-Verlag. ISBN 1-84628-225-X
21. M.A.Bramer (2005)
    Inducer: A Public Domain Workbench for Data Mining
    International Journal of Systems Science, Vol. 36, No. 14, pp. 909-919. ISSN 0020-7721.
22. H.Benbrahim and M.A.Bramer (2005).
    Experiments in Hypertext Categorization
    Expert Update, Vol. 8, No. 2, Autumn 2005, pp. 40-46. ISSN 1465-4091.
23. M.Bramer and V.Terziyan (eds.) (2005)
    Industrial Applications of Semantic Web
    Springer. ISBN 0-387-28568-7
24. Max Bramer (2005)
    Logic Programming With Prolog
    Springer-Verlag. ISBN 1-85233-938-1
25. M.A.Bramer (ed.) (2005)
    Special Issue of Knowledge Based Systems Journal
    Vol. 18, Nos.4-5. Summer 2005. Elsevier.
26. M.A.Bramer, F.Coenen and T.Allen (eds.) (2005)
    Research and Development in Intelligent Systems XXI
    Springer-Verlag. ISBN 1-85233-907-1
27. M.A.Bramer (2004)
    A Public Domain Classification Workbench for Data Mining
    Systems Science, Vol. 30, No. 4, pp. 91-102. ISSN 0137-1223.
28. H.Benbrahim and M.A.Bramer (2004)
    Neighbourhood Exploitation in Hypertext Categorization
    In Proceedings of the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, December 2004, pp. 258-268. ISBN 1-85233-907-1
29. R.Rastogi, K.Morik, M.Bramer and X.Wu (eds.) (2004)
    Proceedings of the Fourth IEEE International Conference on Data Mining: ICDM 2004
    IEEE. ISBN 0-7695-2142-8
30. H.Benbrahim and M.A.Bramer (2004)
    An Empirical Study for Hypertext Categorization
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2004), The Hague, The Netherlands, October 2004.
31. M.A.Bramer (2004)
    A Public Domain Classification Workbench for Data Mining
    In Z.Bubnicki and A.Grzech (eds.), Proceedings of the 15th International Conference on Systems Science (Wroclaw, Poland, September 2004), Volume III, pp. 61-72. ISBN 83-7085-806-6.
    Reprinted in Systems Science, Vol. 30, No. 4, 2004, pp. 91-102. ISSN 0137-1223.
32. M.A. Bramer and V. Devedzic (eds.) (2004)
    Artificial Intelligence Applications and Innovations
    Kluwer Academic Publishers. ISBN 1-4020-8150-2.
33. H.Benbrahim and M.A.Bramer (2004)
    Impact on Performance of Hypertext Classification of Selective Rich HTML Capture
    In Artificial Intelligence Applications and Innovations, Kluwer Academic Publishers, pp. 279-291. ISBN 1-4020-8150-2.
34. M.A.Bramer (2004)
    The Inducer Rule Induction Workbench
    In R.Yager and V.Sgurev (eds.), Proceedings of the Second IEEE International Conference on Intelligent Systems, Varna, Bulgaria, June 2004, pp. 190-195. ISBN 0-7803-8278-1
35. M.A.Bramer (ed.) (2004)
    Special Issue of Knowledge Based Systems Journal
    Vol. 17, Nos. 2-3, Summer 2004. Elsevier.
36. M.A.Bramer, R.Ellis and A.L.Macintosh (eds.) (2004)
    Applications and Innovations in Intelligent Systems XI
    Springer-Verlag. ISBN 1-85233-779-6
37. M.A.Bramer (2003)
    Knowledge Web: A Public Domain Expert System Delivery Environment
    2003 IEEE International Conference on Systems, Man And Cybernetics. ISBN 0-7803-7952-7
38. R.Amin, M.A.Bramer and R.Emslie (2003)
    Intelligent Data Analysis for Conservation: Experiments with Rhino Horn Fingerprint Identification
    Knowledge Based Systems, Vol. 16, Issues 5-6, July 2003, pp. 329-336. ISSN 0950-7051
    (Also included in Applications and Innovations in Intelligent Systems X (eds. A.Macintosh, R.Ellis and F.Coenen), Springer-Verlag, pp. 207-222. ISBN 1-85233-673-0)
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39. M.A.Bramer (ed.) (2003)
    Special Issue of Knowledge Based Systems Journal
    Vol. 16, Nos. 5-6, July 2003. Elsevier
40. M.A.Bramer, A.Preece and F.Coenen (eds.) (2003)
    Research and Development in Intelligent Systems XIX
    Springer-Verlag. ISBN 1-85233-674-9
41. M.A.Bramer (2002)
    Using J-Pruning to Reduce Overfitting of Classification Rules in Noisy Domains
    In Database and Expert Systems Applications (eds. A.Hameurlain, R.Cicchetti and R.Traunmüller), Springer-Verlag, pp. 433-442. ISBN 3-540-44126-3
42. M.A.Bramer (2002)
    An Information-Theoretic Approach to the Pre-pruning of Classification Rules
    In Intelligent Information Processing (eds. M.Musen, B.Neumann and R.Studer), Kluwer, pp. 201-212. ISBN 1-4020-7171-X
43. M.A.Bramer (2002)
    Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains
    In Intelligent Data Engineering and Automated Learning - IDEAL 2002 (eds. H.Yin et al.), Springer-Verlag, 2002, pp. 7-12. ISBN 3-540-44025-9
44. M.A.Bramer (2002)
    Using J-Pruning to Reduce Overfitting in Classification Trees
    Knowledge Based Systems, Vol. 15, Issues 5-6, pp. 301-308, July 2002. ISSN 0950-7051
    (Also included in Research and Development in Intelligent Systems XVIII, Springer-Verlag, pp. 25-38, 2001. ISBN 1-85233-535-1)
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45. M.A.Bramer (ed.) (2002)
    Special Issue of Knowledge Based Systems Journal
    Vol. 15, Nos. 5-6. Elsevier
46. M.A.Bramer, F.Coenen and A.Preece (eds.) (2002)
    Research and Development in Intelligent Systems XVIII.
    Springer-Verlag.
47. M.A.Bramer (ed.) (2001)
    Special Issue of Knowledge Based Systems Journal
    Vol. 14, Nos.3-4. Elsevier
48. M.A.Bramer, A.Preece and F.Coenen (eds.) (2001)
    Research and Development in Intelligent Systems XVII
    Springer-Verlag.
49. M.A.Bramer (2000)
    Inducer: a Rule Induction Workbench for Data Mining
    In Proceedings of the IFIP World Computer Congress Conference on Intelligent Information Processing (eds. Z.Shi, B.Faltings and M.Musen) Publishing House of Electronics Industry (Beijing), pp. 499-506.
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50. M.A.Bramer (ed.) (2000)
    Special Issue of Knowledge Based Systems Journal
    Vol. 13, Nos. 2-3. Elsevier
51. M.A.Bramer (2000)
    Automatic Induction of Classification Rules from Examples Using N-Prism
    In Research and Development in Intelligent Systems XVI. Springer-Verlag, pp. 99-121
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52. M.A.Bramer, A.Macintosh and F.Coenen (eds.) (2000)
    Research and Development in Intelligent Systems XVI.
    Springer-Verlag
53. M.A.Bramer (1999)
    Knowledge Discovery and Data Mining
    Institution of Electrical Engineers. ISBN 0 85296 767 5
54. M.A.Bramer (ed.) (1999)
    Special Issue of Knowledge Based Systems Journal
    Vol. 12, Nos. 5-6. Elsevier
55. K.Nazar and M.A.Bramer (1999)
    Estimating Concept Difficulty with Cross-Entropy
    In Knowledge Discovery and Data Mining (ed. M.A.Bramer), IEE, 1999.
56. R.Miles, M.Moulton and M.A.Bramer (eds.) (1999)
    Research and Development in Expert Systems XV
    Springer-Verlag
57. R.Milne, A.Macintosh and M.A.Bramer (eds.) (1999)
    Applications and Innovations in Expert Systems VI
    Springer-Verlag
58. M.A.Bramer (ed.) (1998)
    Special Issue of Knowledge Based Systems Journal
    Vol. 11, Nos. 5-6. Elsevier
59. K.Nazar and M.A.Bramer (1997)
    Concept Dispersion, Feature Interaction and Their Effect on Particular Sources of Bias in Machine Learning
    In Research and Development in Expert Systems XIV (eds. J.Hunt and R.Miles) SGES Publications, pp. 7-23.
    Reprinted in Knowledge Based Systems, Vol. 11, Nos.5-6. (1998).
60. M.A.Bramer (1997)
    Rule Induction in Data Mining: Concepts and Pitfalls (1)
    Data Warehouse Report, No. 10, pp. 11-17, Summer 1997. Data Warehouse Network.
61. M.A.Bramer (1997)
    Rule Induction in Data Mining: Concepts and Pitfalls (2)
    Data Warehouse Report, No. 11, pp. 22-27, Autumn 1997. Data Warehouse Network
62. W.Liu, A.P.White, S.G.Thompson and M.A.Bramer (1997)
    Techniques for Dealing with Missing Values in Classification
    In Advances in Intelligent Data Analysis: Reasoning About Data (Proceedings of the Second International Symposium on Intelligent Data Analysis) (eds. X. Liu, P. Cohen and M. Berthold), Springer-Verlag, pp. 527-536. LNCS 1280
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63. S.G.Thompson and M.A.Bramer (1996)
    Subsetting as an Approach to Distributed Learning
    In Research and Development in Expert Systems XIII (eds. J.L.Nealon and J.Hunt), SGES Publications, pp. 217-231
64. M.A.Bramer (1996)
    Induction of Classification Rules from Examples: A Critical Review
    Proceedings of Data Mining 96, London, April 1996, Unicom Conferences, pp. 140-166. Unicom.
    Also included in:
    Proceedings of Data Mining and Data Warehouse 96, London, November 1996, Unicom Conferences,
          pp. 34-60. Unicom.
    Proceedings of Data Warehouse 97, Madrid, April 1997. Instituto Superior de Tecnicas y Practicas Bancarias.
    Proceedings of Data Warehouse 97, London, June 1997. Data Warehouse Network.
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