Measuring Scholarly Impact Methods and Practice /

Measuring Scholarly Impact Methods and Practice /

This book is an authoritative handbook of current topics, technologies and methodological approaches that may be used for the study of scholarly impact. The included methods cover a range of fields such as statistical sciences, scientific visualization, network analysis, text mining, and information...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Ding, Ying (Επιμελητής έκδοσης), Rousseau, Ronald (Επιμελητής έκδοσης), Wolfram, Dietmar (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Cham : Springer International Publishing : Imprint: Springer, 2014.
Θέματα:	Computer science. Data mining. Information storage and retrieval. Computers. Mathematics. Visualization. Statistics. Computer Science. Information Storage and Retrieval. Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. Data Mining and Knowledge Discovery. Computing Methodologies.
Διαθέσιμο Online:	Full Text via HEAL-Link

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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II /
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