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This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows: · Profile: The first part embraces three chapters oriented to: 1) describe the nature of educational data mining (EDM); 2) describe how to pre-process raw data to facilitate data mining (DM); 3) explain how EDM supports government policies to enhance education. · Student modeling: The second part contains five chapters concerned with: 4) explore the factors having an impact on the student's academi...
Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.
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Editor: Prof. dr Branko Vasić Izdavač: INSTITUT ZA ISTRAŽIVANJA I PROJEKTOVANJA U PRIVREDI Za izdavača: Miloš Dimitrijević, dipl.inž.maš. CD ROM izdanje ‐ obrada i dizajn: iipp Dizajn i obrada radova: iipp; Tiraž: 50 primeraka Izrada CD ROM izdanja ‐ NT Soft ISBN 978‐86‐84231‐39‐2; COBISS.SR‐ID 215839244