Search (29 results, page 1 of 2)

  • × theme_ss:"Data Mining"
  1. Lam, W.; Yang, C.C.; Menczer, F.: Introduction to the special topic section on mining Web resources for enhancing information retrieval (2007) 0.03
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1791-1792
    Year
    2007
  2. Baeza-Yates, R.; Hurtado, C.; Mendoza, M.: Improving search engines by query clustering (2007) 0.03
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1793-1804
    Year
    2007
  3. Perugini, S.; Ramakrishnan, N.: Mining Web functional dependencies for flexible information access (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1805-1819
    Year
    2007
  4. Pons-Porrata, A.; Berlanga-Llavori, R.; Ruiz-Shulcloper, J.: Topic discovery based on text mining techniques (2007) 0.02
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    Source
    Information processing and management. 43(2007) no.3, S.752-768
    Year
    2007
  5. Whittle, M.; Eaglestone, B.; Ford, N.; Gillet, V.J.; Madden, A.: Data mining of search engine logs (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2382-2400
    Year
    2007
  6. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.02
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    Date
    2. 4.2000 18:01:22
  7. Shi, X.; Yang, C.C.: Mining related queries from Web search engine query logs using an improved association rule mining model (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1871-1883
    Year
    2007
  8. Wang, F.L.; Yang, C.C.: Mining Web data for Chinese segmentation (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1820-1837
    Year
    2007
  9. Ku, L.-W.; Chen, H.-H.: Mining opinions from the Web : beyond relevance retrieval (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1838-1850
    Year
    2007
  10. Liu, Y.; Huang, X.; An, A.: Personalized recommendation with adaptive mixture of markov models (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1851-1870
    Year
    2007
  11. Liu, Y.; Zhang, M.; Cen, R.; Ru, L.; Ma, S.: Data cleansing for Web information retrieval using query independent features (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1884-1898
    Year
    2007
  12. Chen, C.-C.; Chen, A.-P.: Using data mining technology to provide a recommendation service in the digital library (2007) 0.02
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    Source
    Electronic library. 25(2007) no.6, S.711-724
    Year
    2007
  13. KDD : techniques and applications (1998) 0.02
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    Footnote
    A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
  14. Schwartz, F.; Fang, Y.C.: Citation data analysis on hydrogeology (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.4, S.518-525
    Year
    2007
  15. Bella, A. La; Fronzetti Colladon, A.; Battistoni, E.; Castellan, S.; Francucci, M.: Assessing perceived organizational leadership styles through twitter text mining (2018) 0.02
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    Abstract
    We propose a text classification tool based on support vector machines for the assessment of organizational leadership styles, as appearing to Twitter users. We collected Twitter data over 51 days, related to the first 30 Italian organizations in the 2015 ranking of Forbes Global 2000-out of which we selected the five with the most relevant volumes of tweets. We analyzed the communication of the company leaders, together with the dialogue among the stakeholders of each company, to understand the association with perceived leadership styles and dimensions. To assess leadership profiles, we referred to the 10-factor model developed by Barchiesi and La Bella in 2007. We maintain the distinctiveness of the approach we propose, as it allows a rapid assessment of the perceived leadership capabilities of an enterprise, as they emerge from its social media interactions. It can also be used to show how companies respond and manage their communication when specific events take place, and to assess their stakeholder's reactions.
  16. Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997) 0.01
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    Date
    22.11.1998 18:57:22
  17. 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
  18. Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997) 0.01
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    Source
    Information systems. 22(1997) nos.5/6, S.333-347
  19. Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997) 0.01
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    Source
    Information systems. 22(1997) nos.5/6, S.349-385
  20. Lackes, R.; Tillmanns, C.: Data Mining für die Unternehmenspraxis : Entscheidungshilfen und Fallstudien mit führenden Softwarelösungen (2006) 0.01
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    Date
    22. 3.2008 14:46:06

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