Search (406 results, page 1 of 21)

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Footnote

Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].

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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.
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.
With contributors almost exclusively from the computer science field, the intended audience of this work is heavily slanted towards a computer science perspective. However, it is highly readable and provides introductory material that would be useful to information scientists from a variety of domains. Yet, much interesting work in information visualization from other fields could have been included giving the work more of an interdisciplinary perspective to complement their goals of integrating work in this area. Unfortunately, many of the application chapters are these, shallow, and lack complementary illustrations of visualization techniques or user interfaces used. However, they do provide insight into the many applications being developed in this rapidly expanding field. The authors have successfully put together a highly useful reference text for the data mining and information visualization communities. Those interested in a good introduction and overview of complementary research areas in these fields will be satisfied with this collection of papers. The focus upon integrating data visualization with data mining complements texts in each of these fields, such as Advances in Knowledge Discovery and Data Mining (Fayyad et al., MIT Press) and Readings in Information Visualization: Using Vision to Think (Card et. al., Morgan Kauffman). This unique work is a good starting point for future interaction between researchers in the fields of data visualization and data mining and makes a good accompaniment for a course focused an integrating these areas or to the main reference texts in these fields."

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Abstract

Die Idee, die moderne Mathematik ein einem schmalen Band von 150 Seiten darzustellen, ist waghalsig und ermutigend zugleich. Wie Freeman Dyson in seinem Vorwort sagt: 'What Monastyrsky has produced is a road map to the territory of mathematics, with the Fields Medals as a convenient set of nodal points'. Das Buch wird vielen Spezialisten helfen, einen neuen Überblick über die Landschaft Mathematik zu gewinnen, in der sie täglich in der Tiefe nach neuen Schätzen graben

Object

Fields-Medaille

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Abstract

Im Kopf eines Genies - der Bericht von einem mathematischen Abenteuer und der Roman eines sehr erfolgreichen Forschers. Cédric Villani gilt als Kandidat für die begehrte Fields-Medaille, eine Art Nobelpreis für Mathematiker. Sie wird aber nur alle vier Jahre vergeben, und man muss unter 40 sein. Er hat also nur eine Chance. Unmöglich! Unmöglich? Fieberhaft macht er sich an die Arbeit. Jetzt erzählt er seine Geschichte, und ihm gelingt das Unglaubliche: Wir werden direkte Zeugen der Denkprozesse eines Mathematikers, und das, ohne die dazugehörigen Formeln verstehen zu müssen. Ein Buch, so einzigartig wie sein Autor.

RSWK

Villani, Cédric / Fields-Medaille / Erlebnisbericht

Subject

Villani, Cédric / Fields-Medaille / Erlebnisbericht

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Abstract

The titles organized according to subject fields are complemented by references to the 20th ed. of the DDC. The subject guide contains also a complete list of the addresses of publishers and distributors as well as the respective indexes

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Abstract

The DIMDI undertook a translation of NLM's MeSH, the machine-readable version is available from DIMDI. The thesaurus contains 18.000 subject headings in medicine and related fields. It is arranged: 1) alphabetically and 2) hierarchically. Both arrangements have a main list with the main subject headings only in German and two lists with German-English and English-German subject headings

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Date

22. 7.2007 12:05:26
22. 7.2007 12:08:24

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Issue

Vol.22.

Signature

78 BAHH 1089-22

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Date

22. 2.2013 11:35:35

Footnote

Rez. in: Mitt VÖB 62(2009) H.3, S.95-99 (O. Oberhauser): "Dieser ansehnliche Band versammelt 16 Beiträge und zwei Editorials, die bereits 2008 als Sonderheft des Journal of Information Science erschienen sind - damals aus Anlass des 50. Jahrestages der Gründung des seit 2002 nicht mehr selbständig existierenden Institute of Information Scientists (IIS). Allgemein gesprochen, reflektieren die Aufsätze den Stand der Informationswissenschaft (IW) damals, heute und im Verlauf dieser 50 Jahre, mit Schwerpunkt auf den Entwicklungen im Vereinigten Königreich. Bei den Autoren der Beiträge handelt es sich um etablierte und namhafte Vertreter der britischen Informationswissenschaft und -praxis - die einzige Ausnahme ist Eugene Garfield (USA), der den Band mit persönlichen Reminiszenzen beschließt. Mit der nunmehrigen Neuauflage dieser Kollektion als Hardcover-Publikation wollten Herausgeber und Verlag vor allem einen weiteren Leserkreis erreichen, aber auch den Bibliotheken, die die erwähnte Zeitschrift im Bestand haben, die Möglichkeit geben, das Werk zusätzlich als Monographie zur Aufstellung zu bringen. . . . Bleibt die Frage, ob eine neuerliche Publikation als Buch gerechtfertigt ist. Inhaltlich besticht der Band ohne jeden Zweifel. Jeder, der sich für Informationswissenschaft interessiert, wird von den hier vorzufindenden Texten profitieren. Und: Natürlich ist es praktisch, eine gediegene Buchpublikation in Händen zu halten, die in vielen Bibliotheken - im Gegensatz zum Zeitschriftenband - auch ausgeliehen werden kann. Alles andere ist eigentlich nur eine Frage des Budgets." Weitere Rez. in IWP 61(2010) H.2, S.148 (L. Weisel); JASIST 61(2010) no.7, S.1505 (M. Buckland); KO 38(2011) no.2, S.171-173 (P. Matthews): "Armed then with tools and techniques often applied to the structural analysis of other scientific fields, this volume frequently sees researchers turning this lens on themselves and ranges in tone from the playfully reflexive to the (parentally?) overprotective. What is in fact revealed is a rather disparate collection of research areas, all making a valuable contribution to our understanding of the nature of information. As is perhaps the tendency with overzealous lumpers (see http://en.wikipedia.org/wiki/Lumpers_and_splitters), some attempts to bring these areas together seem a little forced. The splitters help draw attention to quite distinct specialisms, IS's debts to other fields, and the ambition of some emerging subfields to take up intellectual mantles established elsewhere. In the end, the multidisciplinary nature of information science shines through. With regard to future directions, the subsumption of IS into computer science is regarded as in many ways inevitable, although there is consensus that the distinct infocentric philosophy and outlook which has evolved within IS is something to be retained." Weitere Rez. in: KO 39(2012) no.6, S.463-465 (P. Matthews)

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

Footnote

Semantic web technologies are explained, and ontology representation is emphasized. There is an excellent summary of the fundamental theory behind applying a knowledge-engineering approach to vision problems. This summary represents the concept of the semantic web and multimedia content analysis. A definition of the fuzzy knowledge representation that can be used for realization in multimedia content applications has been provided, with a comprehensive analysis. The second part of the book introduces the multimedia content analysis approaches and applications. In addition, some examples of methods applicable to multimedia content analysis are presented. Multimedia content analysis is a very diverse field and concerns many other research fields at the same time; this creates strong diversity issues, as everything from low-level features (e.g., colors, DCT coefficients, motion vectors, etc.) up to the very high and semantic level (e.g., Object, Events, Tracks, etc.) are involved. The second part includes topics on structure identification (e.g., shot detection for video sequences), and object-based video indexing. These conventional analysis methods are supplemented by results on semantic multimedia analysis, including three detailed chapters on the development and use of knowledge models for automatic multimedia analysis. Starting from object-based indexing and continuing with machine learning, these three chapters are very logically organized. Because of the diversity of this research field, including several chapters of recent research results is not sufficient to cover the state of the art of multimedia. The editors of the book should write an introductory chapter about multimedia content analysis approaches, basic problems, and technical issues and challenges, and try to survey the state of the art of the field and thus introduce the field to the reader.

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Classification

323.44/5 22 (GBV;LoC)

DDC

323.44/5 22 (GBV;LoC)

Footnote

The book also includes an index, a selected bibliography, and endnotes for each article. More information on the authors of the articles would have been useful, however. One of the best features of Information Ethics is the discussion cases at the end of each chapter. For instance, in the discussion cases, Moore asks questions like: Would you allow one person to die to save nine? Should a scientist be allowed to experiment on people without their knowledge if there is no harm? Should marriages between people carrying a certain gene be outlawed? These discussion cases really add to the value of the readings. The only suggestion would be to have put them at the beginning of each section so the reader could have the questions floating in their heads as they read the material. Information Ethics is a well thought out and organized collection of articles. Moore has done an excellent job of finding articles to provide a fair and balanced look at a variety of complicated and far-reaching topics. Further, the work has breadth and depth. Moore is careful to include enough historical articles, like the 1890 Warren article, to give balance and perspective to new and modern topics like E-mail surveillance, biopiracy, and genetics. This provides a reader with just enough philosophy and history theory to work with the material. The articles are written by a variety of authors from differing fields so they range in length, tone, and style, creating a rich tapestry of ideas and arguments. However, this is not a quick or easy read. The subject matter is complex and one should plan to spend time with the book. The book is well worth the effort though. Overall, this is a highly recommended work for all libraries especially academic ones."

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Date

22. 7.2000 19:22:32

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Classification

303.48/33 22

DDC

303.48/33 22

Footnote

In the authors' view, the primary means to more widespread acceptance of social informatics is to integrate it with the more traditionally technical curricula of ICT oriented students in computer science and related fields, and this is the focus of Chapter 5. Here the book delivers on its promise of providing a clear framework for both understanding and teaching social informatics. The goal is not simply to learn how to build systems, but to learn how to build systems that account for the context in which they are used. The authors prescribe field experience problem-driven learning techniques embedded in the needs of particular organizations, and a critical, reflexive orientation toward ICT design and construction. In a chapter endnote, the authors mention that a socia informatics perspective would also be useful to students in other fields such as communication and education, but that space limitations required a focus on computer science. Though an understandable choice, if the goal is to convince those outside the field of the value of a social informatics perspective, it would seem natural to include management or economics curricula as fertile ground to analyze some of the tangible effects of a failure to account for the social context of system implementations. Chapter 6 is something of an outreach manifesto, a treatise on communicating social informatics research to professional and research communities, and an explicit call for social informatics researchers "to shoulder the responsibility for communicating the core of social informatics . . . to ICT professionals and other research communities" (pp. 106-107). The authors are not shy about framing social informatics less as a research field and more as an up-and-coming competitor in the marketplace of ICT-oriented ideas; achieving more widespread acceptance of social informatics is presented almost as a sales and marketing challenge, the goal being "getting to yes" in the minds of ICT professionals. It is an effective presentation strategy, but one that comes with a cost.

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Date

22. 7.2000 18:21:08

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Date

6. 1.1999 10:29:22

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Date

25. 3.2003 15:35:22

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Series

Sprache und Information; 22

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Date

23. 8.1996 12:51:22

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Date

22. 5.1999 18:14:05