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The personal utility of individual home pages /Papacharissi, Zozo-Angeliki, January 2000 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2000. / Vita. Includes bibliographical references (leaves 193-203). Available also in a digital version from Dissertation Abstracts.
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Automating and improving functionality of DVDFile /Collart, Lisa. January 2002 (has links)
Thesis (M.A.)--Mills College, 2002. / Thesis submitted in partial fulfillment of the requirements for the Degree of Master of Arts in Interdisciplinary Computer Science.
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A multidimensional data model for monitoring web usage and optimizing website topologyWu, Hao-cun., 吳浩存. January 2004 (has links)
published_or_final_version / abstract / toc / Mathematics / Master / Master of Philosophy
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Introduction to the JASIST Special Topic Section on Web Retrieval and Mining: A Machine Learning PerspectiveChen, Hsinchun 05 1900 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / Research in information retrieval (IR) has advanced significantly
in the past few decades. Many tasks, such as
indexing and text categorization, can be performed automatically
with minimal human effort. Machine learning has
played an important role in such automation by learning
various patterns such as document topics, text structures,
and user interests from examples.
In recent years, it has become increasingly difficult to
search for useful information on the World Wide Web
because of its large size and unstructured nature. Useful
information and resources are often hidden in the Web.
While machine learning has been successfully applied to
traditional IR systems, it poses some new challenges to
apply these algorithms to the Web due to its large size, link
structure, diversity in content and languages, and dynamic
nature. On the other hand, such characteristics of the Web
also provide interesting patterns and knowledge that do not
present in traditional information retrieval systems.
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Special issue: "Web retrieval and mining"Chen, Hsinchun 04 1900 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / Search engines and data mining are two research
areas that have experienced significant progress over
the past few years. Overwhelming acceptance of the
Internet as a primary medium for content delivery and
business transactions has created unique opportunities
and challenges for researchers. The richness of the
webâ s multimedia content, the reach and timeliness of
web-based publication, the proliferation of e-commerce
activities and the potential for wireless web
delivery have generated many interesting research
problems. Technical, system, organizational and
social research approaches are all needed to address
these research problems. Many interesting webretrieval
and mining research topics have emerged
recently. These include, but are not limited to, the
following: text and data mining on the web, web visualization, web intelligence and agents, web-based decision support and knowledge management, wireless web retrieval and visualization, web-based usability methodology, web-based analysis for eCommerce applications.
This special issue consists of nine papers that
report research in web retrieval and mining.
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The Academic Web Link Database ProjectThelwall, Mike, Binns, Ray, Harries, Gareth, Page-Kennedy, Teresa, Li, Xuemei, Musgrove, Peter, Price, Liz, Wilkinson, David January 2002 (has links)
This project was created in response to the need for research into web links: including web link mining, and the creation of link metrics. It is aimed at providing the raw data and software for researchers to analyse link structures without having to rely upon commercial search engines, and without having to run their own web crawler. This site will contain all of the following.
*Complete databases of link structures of collections of academic web sites.
*Files of summary statistics about the link databases.
*Software tools for researchers to extract the information that they are particularly interested in.
*Descriptions of the methodologies used to crawl the web so that the information provided can be critically evaluated.
*Files of information used in the web crawling process.
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Webangebote und ihre Klassifikation : typische Merkmale aus Experten- und Rezipientenperspektive /Brandl, Annette. January 2002 (has links) (PDF)
Univ., Magisterarbeit--München, 2001. / Literaturverz. S. 167 - 172.
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Resource centre sites : the new gatekeepers of the web? /Bruns, Axel. January 2002 (has links)
Thesis (Ph. D.)--University of Queensland, 2002. / Includes bibliographical references.
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Web design, development and security /Panta, Purushottam. January 2009 (has links)
Thesis (M.S.)--Youngstown State University, 2009. / Includes bibliographical references (leaf 38). Also available via the World Wide Web in PDF format.
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Development of a Model United Nations websitePaesel, Keir. January 2005 (has links) (PDF)
Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2005. / Title from PDF title page (viewed on Feb. 17, 2006).
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