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Abstract

Mosaic for Windows is an informative book on how to use the most popular Internet navigation tool ever developed. By focussing on the PC Windows version of Mosaic (NCSA, AIR Mosaic, and Spyglass), including Web browsers like NetScape, WinWeb and WebSurfer, this book will provide an easy-to-follow guide to using a PC and Mosaic to browse, collect, and discover information and resources across the entire electronic world.

Content

How to install and set up Mosaic for Windows. How to configure your PC. Includes comparisons of all the widely available browsers including NetScape, WinWeb, and WebSurfer. What you need to access the WWW. Lists lots of great Web sites to visit

LCSH

World Wide Web

Subject

World Wide Web

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Date

23. 3.2008 19:10:22

Footnote

In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.

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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.