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Date

23. 3.2008 19:10:22

Footnote

Rez. in: JASIST 54(2003) no.9, S.905-906 (C.A. Badurek): "Visual approaches for knowledge discovery in very large databases are a prime research need for information scientists focused an extracting meaningful information from the ever growing stores of data from a variety of domains, including business, the geosciences, and satellite and medical imagery. This work presents a summary of research efforts in the fields of data mining, knowledge discovery, and data visualization with the goal of aiding the integration of research approaches and techniques from these major fields. The editors, leading computer scientists from academia and industry, present a collection of 32 papers from contributors who are incorporating visualization and data mining techniques through academic research as well application development in industry and government agencies. Information Visualization focuses upon techniques to enhance the natural abilities of humans to visually understand data, in particular, large-scale data sets. It is primarily concerned with developing interactive graphical representations to enable users to more intuitively make sense of multidimensional data as part of the data exploration process. It includes research from computer science, psychology, human-computer interaction, statistics, and information science. Knowledge Discovery in Databases (KDD) most often refers to the process of mining databases for previously unknown patterns and trends in data. Data mining refers to the particular computational methods or algorithms used in this process. The data mining research field is most related to computational advances in database theory, artificial intelligence and machine learning. This work compiles research summaries from these main research areas in order to provide "a reference work containing the collection of thoughts and ideas of noted researchers from the fields of data mining and data visualization" (p. 8). It addresses these areas in three main sections: the first an data visualization, the second an KDD and model visualization, and the last an using visualization in the knowledge discovery process. The seven chapters of Part One focus upon methodologies and successful techniques from the field of Data Visualization. Hoffman and Grinstein (Chapter 2) give a particularly good overview of the field of data visualization and its potential application to data mining. An introduction to the terminology of data visualization, relation to perceptual and cognitive science, and discussion of the major visualization display techniques are presented. Discussion and illustration explain the usefulness and proper context of such data visualization techniques as scatter plots, 2D and 3D isosurfaces, glyphs, parallel coordinates, and radial coordinate visualizations. Remaining chapters present the need for standardization of visualization methods, discussion of user requirements in the development of tools, and examples of using information visualization in addressing research problems.

Pages

xiii, 407 S

Type

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Pages

XVIII, 300 S

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Footnote

Rez. in: Bibliothek: Forschung und Praxis 16(1992) S.123-124 (W. Kowalk)

Pages

XVI, 223 S

Type

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Pages

IX,177 S

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Footnote

Rez. in: VOEB-Mitt. 61(2008) H.4, S.164-167 (O. Oberhauser): " Dieses nunmehr in vierter Auflage vorliegende Werk ist - vor allem in der angelsächsischen Welt - bereits zu einem Standardlehrtext für Studenten informationswissenschaftlicher Studiengänge geworden. Es zeichnete sich stets durch klaren Aufbau, gute Lesbarkeit und eine bei aller Knappheit doch relativ umfassende Themenbehandlung aus. Der im Titel verwendete Begriff organizing knowledge steht hier ja nicht für mögliche engere Bedeutungen wie etwa Wissensrepräsentation oder gar Klassifikation, sondern für den gesamten Themenbereich information retrieval bzw. information management. Die beiden ersten Auflagen verfasste die versierte und produktive Lehrbuchautorin Jennifer Rowley noch alleine;1 erst bei der dritten Auflage (2000) stand ihr John Farrow (2002 verstorben) als Mitautor zur Seite.2 Inzwischen zur Professorin am Department of Information and Communications der Manchester Metropolitan University avanciert, konnte Rowley nunmehr für die neueste Auflage den ebenfalls als Lehrbuchautor erfahrenen Richard Hartley, Professor am selben Institut und überdies dessen Vorstand, als zweiten Verfasser gewinnen. Wie die Autoren in der Einleitung ausführen, wurde das Buch gegenüber der letzten Auflage stark verändert. Die Neuerungen spiegeln insbesondere die anhaltende Verschiebung hin zu einer vernetzten und digitalen Informationswelt wider, mit allen Konsequenzen dieser Entwicklung für Dokumente, Information, Wissen, Informationsdienste und Benutzer. Neue bzw. stark überarbeitete Themenbereiche sind u.a. Ontologien und Taxonomien, Informationsverhalten, digitale Bibliotheken, Semantisches Web, Evaluation von Informationssystemen, Authentifizierung und Sicherheit, Veränderungsmanagement. Der Text wurde revidiert und auch, was diverse Standards und Normen betrifft, auf den aktuellen Stand gebracht. Der in der dritten Auflage noch separate Abschnitt über das Internet und seine Anwendungen wurde zugunsten einer Integration dieser Themen in die einzelnen Kapitel aufgelassen. Das Buch wurde neu gegliedert - es weist jetzt zwölf Kapitel auf, die in drei grosse Abschnitte gruppiert sind. Jedes Kapitel beginnt mit einer kurzen Einleitung, in der die beabsichtigten Lehr- bzw. Lernziele vorgestellt werden. Am Kapitelende gibt es jeweils eine Zusammenfassung, einige (Prüfungs-)Fragen zum Stoff sowie eine nicht allzu lange Liste der zitierten bzw. zur Vertiefung empfohlenen Literatur. Diese durchgehende Strukturierung erleichtert die Lektüre und Rezeption der Inhalte und ist m.E. für einen Lehrtext besonders vorteilhaft.

Pages

xxiv, 367 S

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Pages

XX, 332 S

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Pages

256 S

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Pages

292 S