Search (4 results, page 1 of 1)

  • × theme_ss:"Data Mining"
  • × type_ss:"el"
  1. Loonus, Y.: Einsatzbereiche der KI und ihre Relevanz für Information Professionals (2017) 0.07
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    Abstract
    Es liegt in der Natur des Menschen, Erfahrungen und Ideen in Wort und Schrift mit anderen teilen zu wollen. So produzieren wir jeden Tag gigantische Mengen an Texten, die in digitaler Form geteilt und abgelegt werden. The Radicati Group schätzt, dass 2017 täglich 269 Milliarden E-Mails versendet und empfangen werden. Hinzu kommen größtenteils unstrukturierte Daten wie Soziale Medien, Presse, Websites und firmeninterne Systeme, beispielsweise in Form von CRM-Software oder PDF-Dokumenten. Der weltweite Bestand an unstrukturierten Daten wächst so rasant, dass es kaum möglich ist, seinen Umfang zu quantifizieren. Der Versuch, eine belastbare Zahl zu recherchieren, führt unweigerlich zu diversen Artikeln, die den Anteil unstrukturierter Texte am gesamten Datenbestand auf 80% schätzen. Auch wenn nicht mehr einwandfrei nachvollziehbar ist, woher diese Zahl stammt, kann bei kritischer Reflexion unseres Tagesablaufs kaum bezweifelt werden, dass diese Daten von großer wirtschaftlicher Relevanz sind.
  2. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 0.01
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    Date
    17. 7.2002 19:22:06
  3. Kraker, P.; Kittel, C,; Enkhbayar, A.: Open Knowledge Maps : creating a visual interface to the world's scientific knowledge based on natural language processing (2016) 0.01
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    Abstract
    The goal of Open Knowledge Maps is to create a visual interface to the world's scientific knowledge. The base for this visual interface consists of so-called knowledge maps, which enable the exploration of existing knowledge and the discovery of new knowledge. Our open source knowledge mapping software applies a mixture of summarization techniques and similarity measures on article metadata, which are iteratively chained together. After processing, the representation is saved in a database for use in a web visualization. In the future, we want to create a space for collective knowledge mapping that brings together individuals and communities involved in exploration and discovery. We want to enable people to guide each other in their discovery by collaboratively annotating and modifying the automatically created maps.
  4. Jäger, L.: Von Big Data zu Big Brother (2018) 0.00
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    Date
    22. 1.2018 11:33:49