Language: English
Published by Springer Berlin / Heidelberg, 2004
ISBN 10: 3540232583 ISBN 13: 9783540232582
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gebundene Ausgabe. Condition: Gut. 360 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 860.
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Add to basketSoftcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1990. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1990. Ammareal gives back up to 15% of this item's net price to charity organizations.
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First Edition
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Add to basketHardcover. Condition: Very Good. 1st Edition. This book provides answers to questions of multiple representations in human reasoning and learning. Computational approaches to learning with multiple representations are introduced and discussed. Finally, the role of multiple representations in teaching is addressed. **** Cover corners slightly dented, otherwise condition is very nice. Previous owner's name on the flyleaf. 360 pp.
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Language: English
Published by Springer Berlin Heidelberg, 2004
ISBN 10: 3540232583 ISBN 13: 9783540232582
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Language: English
Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540476970 ISBN 13: 9783540476979
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the last years, research on Web mining has reached maturity and has broadened in scope. Two different but interrelated research threads have emerged, based on the dual nature of the Web: - The Web is a practically in nite collection of documents: The acquisition and - ploitation of information from these documents asks for intelligent techniques for information categorization, extraction and search, as well as for adaptivity to the interests and background of the organization or person that looks for information. - The Web is a venue for doing business electronically: It is a venue for interaction, information acquisition and service exploitation used by public authorities, n- governmental organizations, communities of interest and private persons. When observed as a venue for the achievement of business goals, a Web presence should be aligned to the objectives of its owner and the requirements of its users. This raises the demand for understandingWeb usage, combining it with other sources of knowledge inside an organization, and deriving lines of action. ThebirthoftheSemanticWebatthebeginningofthedecadeledtoacoercionofthetwo threadsintwoaspects:(i)theextractionofsemanticsfromtheWebtob uildtheSemantic Web;and(ii)theexploitationofthesesemanticstobettersupportinformationacquisition and to enhance the interaction for business and non-business purposes. Semantic Web mining encompasses both aspects from the viewpoint of knowledge discovery.
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