Search (14 results, page 1 of 1)

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Content

From the contents:.- Basics of screen design.- Navigation and orientation.- Information.- Screen layout.Interaction.- Motivation.- Innovative prospects.- Appendix.Glossary.- Literature.- Index

Date

22. 3.2008 14:29:25

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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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Content

Enthält u.a. die Beiträge: Fugmann, R.: Learning the lessons of the past; Davis, C.H.: Indexing and index editing at Chemical Abstracts before the Registry System; Roe , E.M.: Abstracts and indexes to branded full text: what's in a name?; Lynch, M.F.: Introduction of computers in chemical structure information systems, or what is not recorded in the annals; Baatz, S.: Medical science and medical informatics: The visible human project, 1986-2000.

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Abstract

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.

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Date

22. 3.2008 14:35:21

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Date

22. 3.2008 16:15:37

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Content

Inhalt: Chapter 1. Introduction to Web Search Engines: 1.1 A Short History of Information Retrieval - 1.2 An Overview of Traditional Information Retrieval - 1.3 Web Information Retrieval Chapter 2. Crawling, Indexing, and Query Processing: 2.1 Crawling - 2.2 The Content Index - 2.3 Query Processing Chapter 3. Ranking Webpages by Popularity: 3.1 The Scene in 1998 - 3.2 Two Theses - 3.3 Query-Independence Chapter 4. The Mathematics of Google's PageRank: 4.1 The Original Summation Formula for PageRank - 4.2 Matrix Representation of the Summation Equations - 4.3 Problems with the Iterative Process - 4.4 A Little Markov Chain Theory - 4.5 Early Adjustments to the Basic Model - 4.6 Computation of the PageRank Vector - 4.7 Theorem and Proof for Spectrum of the Google Matrix Chapter 5. Parameters in the PageRank Model: 5.1 The a Factor - 5.2 The Hyperlink Matrix H - 5.3 The Teleportation Matrix E Chapter 6. The Sensitivity of PageRank; 6.1 Sensitivity with respect to alpha - 6.2 Sensitivity with respect to H - 6.3 Sensitivity with respect to vT - 6.4 Other Analyses of Sensitivity - 6.5 Sensitivity Theorems and Proofs Chapter 7. The PageRank Problem as a Linear System: 7.1 Properties of (I - alphaS) - 7.2 Properties of (I - alphaH) - 7.3 Proof of the PageRank Sparse Linear System Chapter 8. Issues in Large-Scale Implementation of PageRank: 8.1 Storage Issues - 8.2 Convergence Criterion - 8.3 Accuracy - 8.4 Dangling Nodes - 8.5 Back Button Modeling

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Abstract

In this collection of nearly 50 articles written by librarians, computer specialists, and other information professionals, the reader finds 10 chapters, each devoted to a problem or a side effect that has emerged since the introduction of the Internet: control over selection, survival of the book, training users, adapting to users' expectations, access issues, cost of technology, continuous retraining, legal issues, disappearing data, and how to avoid becoming blind sided. After stating a problem, each chapter offers solutions that are subsequently supported by articles. The editor's comments, which appear throughout the text, are an added bonus, as are the sections concluding the book, among them a listing of useful URLs, a works-cited section, and a comprehensive index. This book has much to recommend it, especially the articles, which are not only informative, thought-provoking, and interesting but highly readable and accessible as well. An indispensable tool for all librarians.

Footnote

Rez. in: JASIST 55(2004) no.11, S.1025-1026 (D.E. Agosto): ""Did you ever feel as though the Internet has caused you to lose control of your library?" So begins the introduction to this volume of over 50 articles, essays, library policies, and other documents from a variety of sources, most of which are library journals aimed at practitioners. Volume editor Block has a long history of library service as well as an active career as an online journalist. From 1977 to 1999 she was the Associate Director of Public Services at the St. Ambrose University library in Davenport, Iowa. She was also a Fox News Online weekly columnist from 1998 to 2000. She currently writes for and publishes the weekly ezine Exlibris, which focuses an the use of computers, the Internet, and digital databases to improve library services. Despite the promising premise of this book, the final product is largely a disappointment because of the superficial coverage of its issues. A listing of the most frequently represented sources serves to express the general level and style of the entries: nine articles are reprinted from Computers in Libraries, five from Library Journal, four from Library Journal NetConnect, four from ExLibris, four from American Libraries, three from College & Research Libraries News, two from Online, and two from The Chronicle of Higher Education. Most of the authors included contributed only one item, although Roy Tennant (manager of the California Digital Library) authored three of the pieces, and Janet L. Balas (library information systems specialist at the Monroeville Public Library in Pennsylvania) and Karen G. Schneider (coordinator of lii.org, the Librarians' Index to the Internet) each wrote two. Volume editor Block herself wrote six of the entries, most of which have been reprinted from ExLibris. Reading the volume is muck like reading an issue of one of these journals-a pleasant experience that discusses issues in the field without presenting much research. Net Effects doesn't offer much in the way of theory or research, but then again it doesn't claim to. Instead, it claims to be an "idea book" (p. 5) with practical solutions to Internet-generated library problems. While the idea is a good one, little of the material is revolutionary or surprising (or even very creative), and most of the solutions offered will already be familiar to most of the book's intended audience.

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

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Date

22. 3.2008 18:05:16

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Footnote

Sämtliche Beiträge sind von hohem Niveau und bieten anspruchsvolle Lektüre. Verallgemeinert formuliert, fragen sie nach der Verknüpfung zwischen dem breiteren Kontext des Warum und Wie der menschlichen Informationssuche und den technischen bzw. sonstigen Randbedingungen, die die Interaktion zwischen Benutzern und Systemen bestimmen. Natürlich liegt hier kein Hand- oder Lehrbuch vor, sodass man - fairerweise - nicht von einer systematischen Behandlung dieses Themenbereichs oder einem didaktischen Aufbau ausgehen bzw. derlei erwarten darf. Das Buch bietet jedenfalls einen guten und vielfältigen Einstieg und Einblick in dieses interessante Forschungsgebiet. Fachlich einschlägige und größere allgemeine Bibliotheken sollten es daher jedenfalls in ihren Bestand aufnehmen. Schon die Rezension des oben zitierten zweiten Buches des Herausgeber-Duos Spink-Cole enthielt einen kritischen Hinweis auf das dortige Sachregister. Der vorliegende Band erfordert noch stärkere Nerven, denn der hier als "Index" bezeichnete Seitenfüller spottet geradezu jeder Beschreibung, umso mehr, als wir uns in einem informationswissenschaftlichen Kontext befi nden. Was soll man denn tatsächlich mit Einträgen wie "information" anfangen, noch dazu, wenn dazu über 150 verschiedene Seitenzahlen angegeben werden? Ähnlich verhält es sich mit anderen allgemeinen Begriffen wie z.B. "knowledge", "model", "tasks", "use", "users" - allesamt mit einer gewaltigen Menge von Seitenzahlen versehen und damit ohne Wert! Dieses der Leserschaft wenig dienliche Register ist wohl dem Verlag anzulasten, auch wenn die Herausgeber selbst seine Urheber gewesen sein sollten. Davon abgesehen wurde wieder einmal ein solide gefertigter Band vorgelegt, der allerdings wegen seines hohen Preis eher nur institutionelle Käufer ansprechen wird."

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Content

Inhalt: - Keynotes Kalervo Järvelin: Information Retrieval: Technology, Evaluation and Beyond Michael Schroeder: Semantic search for the life sciences - Evaluation Pavel Sirotkin: Predicting user preferences Hanmin Jung, Mikyoung Lee, Won-Kyung Sung, Do Wan Kim: Usefiilness Evaluation on Visualization of Researcher Networks Jens Kürsten, Thomas Wilhelm, Maximilian Eibl: Vergleich von IR-Systemkonfigurationen auf Komponentenebene - Informationsinfrastruktur Reinhild Barkey, Erhard Hinrichs, Christina Hoppermann, Thorsten Trippel, Claus Zinn: Komponenten-basierte Metadatenschemata und Facetten-basierte Suche Ina Dehnhard, Peter Weiland: Toolbasierte Datendokumentation in der Psychologie Gertrud Faaß, Ulrich Heid: Nachhaltige Dokumentation virtueller Forschungsumgebungen - Soziale Software Evelyn Droge, Parinaz Maghferat, Cornelius Puschmann, Julia Verbina, Katrin Weller: Konferenz-Tweets Richard Heinen, Ingo Blees: Social Bookmarking als Werkzeug für die Kooperation von Lehrkräften Jens Terliesner, Isabella Peters: Der T-Index als Stabilitätsindikator für dokument-spezifische Tag-Verteilungen