Search (167 results, page 1 of 9)

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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

The subject of this book is the analysis and processing of structural or quantitative data with emphasis on classification methods, new algorithms as well as applications in various fields related to data analysis and classification. The book presents the state of the art in world-wide research and application of methods from the fields indicated above and consists of survey papers as well as research papers

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Source

Serials librarian. 22(1992), nos.3/4

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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 18:22:14

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Date

22. 7.2000 18:22:27

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Date

22. 2.1997 19:42:34

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Series

Reference librarian; no.22

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Source

Library hi tech. 22(2004) no.1

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Content

Enthält 47 Beiträge den Schwerpunkten der Tagung: Biology and related fields - Engineering and natural sciences - Medicine - Information science and information technology - Law and economics - Social sciences and humanities - Terminology research and interdisciplinary aspects; darunter: OESER, E. u. G. BUDIN: Explication and representation of qualitative biological and medical concepts: the example of the pocket knowledge data base on carnivores; HOHENEGGER, J.: Specles as the basic units in taxonomy and nomenclature; LAVIETER, L. de, J.A. DESCHAMPS u. B. FELLUGA: A multilingual environmental thesaurus: past, present, and future; TODESCHINI, C. u. G. Thoemig: The thesaurus of the International Nuclear Information System: experiences in an international environment; CITKINA, F.: Terminology of mathematics: contrastive analysis as a basis for standardization and harmonization; WALKER, D.G.: Technology and engineering terminolgy: translation problems encountered and suggested solutions; VERVOOM, A.J.: Terminology and engineering sciences; HIRS, W.M.: ICD-10, a missed chance and a new opportunity for medical terminology standardization; THOMAS, P.: Subject indexes in medical literature; RAHMSTORF, G.: Analysis of information technology terms; NEGRINI, G.: Indexing language for research projects and its graphic display; BATEWICZ, M.: Impact of modern information technology on knowledge transfer services and terminology; RATZINGER, M.: Multilingual product description (MPD): a European project; OHLY, H.P.: Terminology of the social sciences and social context approaches; BEAUGRANDE, R. de: Terminology and discourse between the social sciences and the humanities; MUSKENS, G.: Terminological standardisation and socio-linguistic diversity: dilemmas of crosscultural sociology; SNELL, B.: Terminology ten years on; ZHURAVLEV, V.F.: Standard ontological structures of systems of concepts of active knowledge; WRIGHT, S.E.: Terminology standardization in standards societies and professional associations in the United States; DAHLBERG; I.: The terminology of subject fields - reconsidered; AHMAD, K. u. H. Fulford: Terminology of interdisciplinary fields: a new perspective; DATAA, J.: Full-text databases as a terminological support for translation

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Abstract

The workshop covered a wide range of issues, including data visualisatio, applications of computer graphics and virtual reality, formal models of user interfaces, and evaluation methods for designers of database user interfaces. The authors come from a wide variety of research backgrounds, which span both the DBMS and HCI fields. Interfaces to Database Systems is unique in that it brings together different approaches from the database and HCI communities. It will provide essential reading for researchers in database systems, and also industrial developers of DBMS

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Content

Enthält die Beiträge: RANGANATHAN, S.R.: Library classification as a discipline; SHERA, J.H.: Pattern, structure, and conceptualization in classification for information retrieval; MILLS, J.: Classification of a subject field; VICKERY, B.C.: Relations between subject fields: problems of constructing a general classification; COATES, E.J.: Notation in classification; FARRADANE, J.: Classification and mechanical selection; BALL, N.T.: Contributions of classification to science; GROLIER, E. de: Concluding survey; FOSKETT, D.J.: Occupational safety and health documents classification scheme; CRG: The need for a faceted classification as the basis of all methods of information retrieval (Memorandum of the Classification Research Group)

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Abstract

This comprehensive book examines the usability of the Internet as a scholarly research tool, comparing it to traditional print media. Experts in specific subject areas provide up-to-the-minute assessments of the usefulness of the Internet for research in their fields.

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Abstract

In part 2, applications in a wider array of fields are presented which use the paradigm of computing with words, exemplified by reasoning, data analysis, data mining, machine learning, risk analyses, reliability and quality control, decision making, optimization and control, databases, medical diagnosis, business analyses, traffic management, power system planning, military applications, etc.

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Abstract

The accelerating «iconic turn» in our society today increasingly demands the interactive representation of contextual knowledge. At the same time the use of Web based learning environments highlight the audio-visual dimension of (e)pedagogy and the move towards practical, project-oriented curricula. Regardless of the educational field pedagogical expertise thus requires more and more understanding and control of visual elements and their interpretations. There is a growing need for visually oriented pedagogical experts such as teachers, tutors, designers and developers who are capable of community knowledge building and collaboration with other experts from different fields from both private and public sectors. The book intends to illuminate scientific and programmatic excerpts from an international community of researchers, practitioners, teachers and scholars working in interrelated fields such as Aesthetic Education, ePedagogy Design - Visual Knowledge Building, Visual Education, Art Education, Media Pedagogy and Intermedia Art Education.

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Date

22. 2.1999 13:37:59