Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	November 2006
Genre:	EDV / Informatik
	Application software / Artificial Intelligence / C / Computer and Information Systems Applications / Computer Communication Networks / Computer communication systems / computer science / Computers and civilization / Computers and Society / Data Warehousing / Database Management / database programming / Databases / Ethical & social aspects of IT / Information Retrieval / Information Storage and Retrieval / Information Systems Applications (incl. Internet) / Internet searching / Network hardware
ISBN:	9783540476979
EAN-Code:	9783540476979
Verlag:	Springer Berlin Heidelberg
Einband:	Kartoniert
Sprache:	English
Serie:	Lecture Notes in Artificial Intelligence #4289 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D 12 mm
Gewicht:	335 gr
Seiten:	216
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Finding knowledge ¿ or meaning ¿ in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e. , whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central questioniswhetherthebackgroundknowledge,businessunderstanding,etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between. Also, the data that are being mined can be more or less structured and/or accompanied by formal semantics. These questions must be asked in every KD e?ort. Nowhere may they be more pertinent, however, than in KD from Web data (¿Web mining¿). Thisis due especially to the vast amounts and heterogeneity of data and ba- ground knowledge available for Web mining (content, link structure, and - age), and to the re-use of background knowledge and KD results over the Web as a global knowledge repository and activity space. In addition, the (Sem- tic) Web can serve as a publishing space for the results of knowledge discovery from other resources, especially if the whole process is underpinned by common ontologies.