| Resumen |
This volume contains the papers presented at MIKE 2017: the 5th International Conference on Mining Intelligence and Knowledge Exploration held during December 13–15, 2017, at the Institute for Development and Research in Banking Technology (IDRBT), Hyderabad, India (http://www.mike.org.in/2017/). MIKE 2017 received 139 qualified submissions from 17 countries and each qualified submission was reviewed by a minimum of three Program Committee members using the criteria of relevance, originality, technical quality, and presentation. A rigorous review process with the help of an illustrious Program Committee led to 40 of these submissions being accepted for presentation at the conference. Hence, the overall acceptance rate for this edition of MIKE is 28.78%. The International Conference on Mining Intelligence and Knowledge Exploration (MIKE) is an initiative focusing on research and applications on various topics of human intelligence mining and knowledge discovery. Human intelligence has evolved steadily over several generations, and today human expertise is excelling in multiple domains and in knowledge-acquiring artifacts. The primary goal was to focus on the frontiers of human intelligence mining toward building a body of knowledge in this key domain. The focus was also to present state-of-art scientific results, to disseminate modern technologies, and to promote collaborative research in mining intelligence and knowledge exploration. At MIKE 2017, specific emphasis was placed on the “learning to explore smart and intelligent systems.” |
| Observaciones |
Lecture Notes in Arti?cial Intelligence 10682,
December 13–15, 2017 Proceedings,
Editores:Ashish Ghosh, Rajarshi Pal, Rajendra Prasath,
ISBN 978-3-319-71928-3 (eBook),
https://doi.org/10.1007/978-3-319-71928-3.
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