Search (6 results, page 1 of 1)

  • × subject_ss:"Data mining"
  1. Information and communication technologies : international conference; proceedings / ICT 2010, Kochi, Kerala, India, September 7 - 9, 2010 (2010) 0.01
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    RSWK
    Informatik / Kongress / Cochin <Kerala, 2010>
    Subject
    Informatik / Kongress / Cochin <Kerala, 2010>
  2. Aberer, K. et al.: ¬The Semantic Web : 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007 : proceedings (2007) 0.00
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    Classification
    SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
    RVK
    SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
  3. Semantic applications (2018) 0.00
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    LCSH
    Information Systems Applications (incl. Internet)
    Subject
    Information Systems Applications (incl. Internet)
  4. Stuart, D.: Web metrics for library and information professionals (2014) 0.00
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    RSWK
    Internet / Bibliometrie / Einführung
    Subject
    Internet / Bibliometrie / Einführung
    Theme
    Internet
  5. Next generation search engines : advanced models for information retrieval (2012) 0.00
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    Abstract
    The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
    Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
  6. Information visualization in data mining and knowledge discovery (2002) 0.00
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    Date
    23. 3.2008 19:10:22

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