@inbook { ,
	title = {Knowledge-based Information Retrieval and Filtering from the Web},
	year = {2003},
	month = {12/2003},
	pages = {185-217},
	publisher = {Kluwer Academic Publishers},
	type = {inbook},
	chapter = {Generic Hierarchical Classification Using the Single-Link Clustering},
	abstract = {Up to date, research on automatic classification focused mainly on the
efficiency of algorithms in regard to a given aspect of a dataset. The
issue of classification of a given dataset in regard to various aspects is
generally not addressed. In this chapter, a multi-facet hierarchical classification
technique based on the single-link clustering is proposed. First,
the single-link clustering is formally presented. Then, the concepts underlying
the generic hierarchical classification technique are given. Next,
analysis domains modeling a given facet of a dataset are described. A
new language devoted to generate analysis domains is presented. Further,
classification of analysis domains is discussed. Finally, examples
of applications of the generic hierarchical classification are given.},
	keywords = {analysis domain language, hierarchical classification, multi-facet analysis, single-link clustering, ultra-metrics},
	isbn = {1-4020-7523-5},
	url = {http://www.springer.com/computer/ai/book/978-1-4020-7523-0},
	attachments = {https://www.kti.ue.poznan.pl/sites/default/files/2003_BookChapter_KBIRaF.pdf},
	author = {Willy Picard and Wojciech Cellary},
	editor = {Witold Abramowicz}
}
