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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 A Meta-Analysis and Meta-Regression of Incidental Second Language Word Learning from Spoken Input ... de Vos, Johanna; Schriefers, Herbert; Lemhöfer, Kristin. - : Radboud University, 2018 BASE Show details 2 The Relation between Prospective Teachers’ Attitudes towards Uncertainty and Motivation in Teaching Cem Şenol; Mustafa Akdağ In: Education Sciences ; Volume 8 ; Issue 3 (2018) BASE Show details 3 Table 2: Reliability Indexes Of The Measures Used In Grade Three ... Jahangard, Ali. - : Zenodo, 2018 BASE Show details 4 Table 2: Reliability Indexes Of The Measures Used In Grade Three ... Jahangard, Ali. - : Zenodo, 2018 BASE Show details 5 A Diachronic Corpus for Literary Style Analysis ; Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) Vogel, Carl; Klaussner, Carmen. - 2018 BASE Show details 6 "Leadership in Action: How Top Hackers Behave" A Big-Data Approach with Text-Mining and Sentiment Analysis Biswas, Baidyanath; Mukhopadhyay, Arunabha; Gupta, Gaurav. - 2018 Abstract: This paper examines hacker behavior in dark forums and identifies its significant predictors in the light of "leadership theory" for "communities of practice." We combine techniques from online forum features as well as text-mining and sentiment-analysis of messages. We create a multinomial logistic regression model to achieve role-based hacker classification and validate our model with actual hacker forum data. We identify "total number of messages," "number of threads," "hacker keyword frequency," and "sentiments" as the most significant predictors of expert hacker behavior. We also demonstrate that while disseminating technical knowledge, the hacker community follows Pareto principle. As a recommendation for future research, we build a unique keyword lexicon of the most significant terms derived by tf-idf measure. Such investigation of hacker behavior is particularly relevant for organizations in proactive prevention of cyber-attacks. Foresight on online hacker behavior can help businesses save losses from breaches and additional costs of attack-preventive measures. Keyword: community of practice; Data Analytics; Data Mining and Machine Learning for Social Media; hacker forums; multinomial logistic regression; sentiment analysis; text-mining URL: http://hdl.handle.net/10125/50108 https://doi.org/10.24251/HICSS.2018.221 BASE Hide details 7 Diagnosing middle ear pathology in 6-to 9-month-old infants using wideband absorbance: a risk prediction model Myers, Joshua; Kei, Joseph; Aithal, Sreedevi. - : American Speech - Language - Hearing Association, 2018 BASE Show details

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