@mastersthesis{Hanney96,
	title = {{Learning Adaptation Rules From Cases.}},
	author = { {K Hanney}},
	school = {{Department of Computer Science, Trinity College, Dublin, Ireland}},
	type = {MSc},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2b692c9a606198421824699a922066344/bsmyth},
	description = {AI 2001 Elizabeth McKenna Barry Smyth},
	keywords = {imported }
}

@inproceedings{HanneyEtAl95,
	title = {What Kind of Adaptation do CBR Systems Need?: A Review of Current Practice},
	author = {Kathleen Hanney and Mark T. Keane and Padraig Cunningham and Barry Smyth},
	booktitle = {Proceedings of the AAAI Fall Symposium on Adaptation of Knowledge for Reuse},
	note = {\url{http://www.aic.nrl.navy.mil:80/~?aha/aaai95-fss/papers/hanney.ps.Z} [Last access: ????]},
	year = {1995},
	biburl = {http://www.bibsonomy.org/bibtex/2a11a06c4d58286c6ff122ad5b95e15f4/bsmyth},
	abstract = {This paper reviews a large number of CBR systems to determine
when and what sort of adaptation is currently used. Three
taxonomies are proposed: an adaptation-relevant taxonomy of CBR
systems, a taxonomy of the tasks performed by CBR systems and a
taxonomy of adaptation knowledge. To the extent that the set of
existing systems reflects constraints on what is feasible, this
review shows interesting dependencies between different
system-types, the tasks these systems achieve and the adaptation
needed to meet system goals. The CBR system designer may find the
partition of CBR systems and the division of adaptation knowledge
suggested by this paper useful. Moreover, this paper may help
focus the initial stages of systems development by suggesting (on
the basis of existing work) what types of adaptation knowledge
should be supported by a new system. In addition, the paper
provides a framework for the preliminary evaluation and
comparison of systems.},
	keywords = {barry-smyth imported, }
}

@inproceedings{conf/iccbr/HanneyKSC95,
	title = {Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies.},
	author = {Kathleen Hanney and Mark T. Keane and Barry Smyth and Padraig Cunningham},
	booktitle = {ICCBR},
	crossref = {conf/iccbr/1995},
	editor = {Manuela M. Veloso and Agnar Aamodt},
	pages = {461-470},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/iccbr/iccbr1995.html#HanneyKSC95},
	volume = {1010},
	year = {1995},
	biburl = {http://www.bibsonomy.org/bibtex/26ccbeeb0b19f935fb1fcd7947ca02b77/bsmyth},
	description = {dblp},
	isbn = {3-540-60598-3}, date = {2002-10-18},
	keywords = {barry-smyth dblp, }
}

@mastersthesis{Hanney96,
	title = { {Learning Adaptation Rules From Cases.}},
	author = { {K Hanney}},
	school = {{Department of Computer Science, Trinity College, Dublin, Ireland}},
	type = {MSc},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/26bd6dc889d377f5ab9797e5fd55fbb65/bsmyth},
	description = {AI 2001 Elizabeth McKenna Barry Smyth},
	keywords = {imported }
}

@inproceedings{HanneyKeane96,
	title = {{Learning Adaptation Rules from Cases. }},
	author = {K. Hanney and M. Keane},
	booktitle = {{Advances in Case-Based Reasoning.}},
	editor = {I. Smyth and B. Faltings},
	publisher = {Springer Verlag},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/291cae35b3c7a097f321b9cb12cd0f801/bsmyth},
	description = {AI 2001 Elizabeth McKenna Barry Smyth},
	keywords = {imported }
}

@inproceedings{HanneyKeane97,
	title = {{The Adaptation Knowledge Bottleneck: How to Ease it by Learning from Cases.}},
	author = {K. Hanney and M. Keane},
	booktitle = {{Proceedings of the Second International Conference on Case-Based Reasoning.}},
	publisher = {Springer Verlag},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/299ab562f386d1384265af72faf20d613/bsmyth},
	description = {AI 2001 Elizabeth McKenna Barry Smyth},
	keywords = {imported }
}

@article{journals/scientometrics/HanneyFGBYL05,
	title = {Using categorisations of citations when assessing the outcomes from health research.},
	author = {Steve Hanney and Iain Frame and Jonathan Grant and Martin Buxton and Tracey Young and Grant Lewison},
	journal = {Scientometrics},
	number = {3},
	pages = {357-379},
	url = {http://dblp.uni-trier.de/db/journals/scientometrics/scientometrics65.html#HanneyFGBYL05},
	volume = {65},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/2ee847bd11e89a53cec3da948ca42eb5f/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1007/s11192-005-0279-y}, date = {2007-03-30},
	keywords = {dblp }
}

@inproceedings{HanneyEtAl95,
	title = {What Kind of Adaptation do CBR Systems Need?: A Review of Current Practice},
	author = {Kathleen Hanney and Mark T. Keane and Padraig Cunningham and Barry Smyth},
	booktitle = {Proceedings of the AAAI Fall Symposium on Adaptation of Knowledge for Reuse},
	note = {\url{http://www.aic.nrl.navy.mil:80/~?aha/aaai95-fss/papers/hanney.ps.Z} [Last access: ????]},
	year = {1995},
	biburl = {http://www.bibsonomy.org/bibtex/2a11a06c4d58286c6ff122ad5b95e15f4/thorob67},
	abstract = {This paper reviews a large number of CBR systems to determine
when and what sort of adaptation is currently used. Three
taxonomies are proposed: an adaptation-relevant taxonomy of CBR
systems, a taxonomy of the tasks performed by CBR systems and a
taxonomy of adaptation knowledge. To the extent that the set of
existing systems reflects constraints on what is feasible, this
review shows interesting dependencies between different
system-types, the tasks these systems achieve and the adaptation
needed to meet system goals. The CBR system designer may find the
partition of CBR systems and the division of adaptation knowledge
suggested by this paper useful. Moreover, this paper may help
focus the initial stages of systems development by suggesting (on
the basis of existing work) what types of adaptation knowledge
should be supported by a new system. In addition, the paper
provides a framework for the preliminary evaluation and
comparison of systems.},
	keywords = {imported }
}

@inproceedings{conf/iccbr/HanneyK97,
	title = {The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases.},
	author = {Kathleen Hanney and Mark T. Keane},
	booktitle = {ICCBR},
	crossref = {conf/iccbr/1997},
	editor = {David B. Leake and Enric Plaza},
	pages = {359-370},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/iccbr/iccbr1997.html#HanneyK97},
	volume = {1266},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/2c669b7766d52cd6de26460b6d2e9daf0/dblp},
	description = {dblp},
	isbn = {3-540-63233-6}, date = {2002-10-18},
	keywords = {dblp }
}

@inproceedings{conf/iccbr/HanneyKSC95,
	title = {Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies.},
	author = {Kathleen Hanney and Mark T. Keane and Barry Smyth and Padraig Cunningham},
	booktitle = {ICCBR},
	crossref = {conf/iccbr/1995},
	editor = {Manuela M. Veloso and Agnar Aamodt},
	pages = {461-470},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/iccbr/iccbr1995.html#HanneyKSC95},
	volume = {1010},
	year = {1995},
	biburl = {http://www.bibsonomy.org/bibtex/26ccbeeb0b19f935fb1fcd7947ca02b77/dblp},
	description = {dblp},
	isbn = {3-540-60598-3}, date = {2002-10-18},
	keywords = {dblp }
}