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Information visualization in data mining and knowledge discovery (2002)
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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
- s
-
Handbook on ontologies (2004)
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- Editor
- Staab, S. u. R. Studer
- Pages
- XV, 660 S
- Type
- s
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Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008)
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- Editor
- Goh, D. u. S. Foo
- Footnote
- Rez. in: JASIST 61(2010) no.12, S.2587-2588 (Gobinda Chowdhury)
- Pages
- XVIII, 375 S
- Type
- s
-
Handbuch Internet-Suchmaschinen [1] : Nutzerorientierung in Wissenschaft und Praxis (2009)
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- Footnote
- Vgl. auch: http://www.bui.haw-hamburg.de/164.html (Elektronische Ressource) Rez. in: IWP 60(2009) H.3, S.177-178 (L. Weisel): "Mit dem vorliegenden Handbuch will der Herausgeber, Prof. Dr. Dirk Lewandowksi von der Hochschule für Angewandte Wissenschaften Hamburg, nach eigenen Worten eine Lücke füllen. Er hat renommierte Autoren aus unterschiedlichen Fachcommunities aufgerufen, zu dem Thema "Suchmaschinen im Internet" ihre unterschiedlichen Perspektiven in Form von Übersichtsartikeln zusammenzuführen. So möchte er mit diesem Band den Austausch zwischen den Communities sowie zwischen Wissenschaftlern und Praktikern fördern. . . . Empfehlung Dem Handbuch "Internet-Suchmaschinen" wird eine breite Leserschaft aus Wissenschaft und Praxis des Suchens und Findens im Web gewünscht, es sollte bei allen Einrichtungen für die Ausbildung des Fachnachwuchses zum Repertoire gehören, um diesen kritisch an die Thematik heranzuführen. Das gedruckte Werk wird der Aktualität und dem Wandel in diesem sehr dynamischen Fachgebiet Tribut zollen müssen. Statt einer zeitnahen Zweitausgabe sei dem Herausgeber und dem Verlag hier der Weg der kontinuierlichen Ergänzung empfohlen: um die oben genannten fehlenden Beiträge, aber auch sich neu ententwickelnde Inhalte - in Form eines lebendigen Lehrbuches -auf der geeigneten elektronischen Plattform."
- Pages
- VIII, 409 S
- Type
- s
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Towards the Semantic Web : ontology-driven knowledge management (2004)
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- Pages
- XX, 288 S
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- s
