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Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997)
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- 5. 4.1996 15:29:15
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- Information systems. 22(1997) nos.5/6, S.333-347
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Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997)
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- 5. 4.1996 15:29:15
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- Information systems. 22(1997) nos.5/6, S.349-385
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Lam, W.; Yang, C.C.; Menczer, F.: Introduction to the special topic section on mining Web resources for enhancing information retrieval (2007)
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- 2007
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Baeza-Yates, R.; Hurtado, C.; Mendoza, M.: Improving search engines by query clustering (2007)
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- 2007
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Perugini, S.; Ramakrishnan, N.: Mining Web functional dependencies for flexible information access (2007)
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- 2007
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Pons-Porrata, A.; Berlanga-Llavori, R.; Ruiz-Shulcloper, J.: Topic discovery based on text mining techniques (2007)
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- Information processing and management. 43(2007) no.3, S.752-768
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- 2007
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Whittle, M.; Eaglestone, B.; Ford, N.; Gillet, V.J.; Madden, A.: Data mining of search engine logs (2007)
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- Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2382-2400
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- 2007
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Shi, X.; Yang, C.C.: Mining related queries from Web search engine query logs using an improved association rule mining model (2007)
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Wang, F.L.; Yang, C.C.: Mining Web data for Chinese segmentation (2007)
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Ku, L.-W.; Chen, H.-H.: Mining opinions from the Web : beyond relevance retrieval (2007)
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Liu, Y.; Huang, X.; An, A.: Personalized recommendation with adaptive mixture of markov models (2007)
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- 2007
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Liu, Y.; Zhang, M.; Cen, R.; Ru, L.; Ma, S.: Data cleansing for Web information retrieval using query independent features (2007)
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- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1884-1898
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- 2007
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Chen, C.-C.; Chen, A.-P.: Using data mining technology to provide a recommendation service in the digital library (2007)
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- Electronic library. 25(2007) no.6, S.711-724
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- 2007
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Schwartz, F.; Fang, Y.C.: Citation data analysis on hydrogeology (2007)
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- 2007
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Bella, A. La; Fronzetti Colladon, A.; Battistoni, E.; Castellan, S.; Francucci, M.: Assessing perceived organizational leadership styles through twitter text mining (2018)
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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.
-
Budzik, J.; Hammond, K.J.; Birnbaum, L.: Information access in context (2001)
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- Date
- 29. 3.2002 17:31:17
-
Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
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- Date
- 2. 4.2000 18:01:22
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Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000)
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- 27. 1.1996 10:29:55
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Keim, D.A.: Data Mining mit bloßem Auge (2002)
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- Date
- 31.12.1996 19:29:41
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Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002)
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- Date
- 31.12.1996 19:29:41
