Accession Number : AD1036538


Title :   Advances in Knowledge Discovery and Data Mining 21st Pacific Asia Conference, PAKDD 2017 Held in Jeju, South Korea, May 23 26, 2017. Proceedings Part I, Part II.


Descriptive Note : Conference Proceedings


Corporate Author : Seoul National University Seoul Korea, South


Personal Author(s) : Kim,Jinho ; Shim,Kyuseok ; Cao,Longbing


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1036538.pdf


Report Date : 27 Jun 2017


Pagination or Media Count : 1


Abstract : The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of knowledge discovery and data mining (KDD). We had three keynote speeches, delivered by Sang Cha from Seoul National University, Rakesh Agrawal from Data Insights Laboratories, and Dacheng Tao from University of Sydney. In addition to the main technical program, the offerings of this conference were further enriched by three tutorials as well as four international workshops on leading-edge topics. We received a record-breaking number of 458 submissions from 36 countries all over the world. This highest number of submissions is very encouraging because it reflects the improving status of PAKDD. As a result, 129 out of 458 papers were accepted, yielding an acceptance rate of28.2 . Among them, 45 papers were selected as long-presentation papers, and 84 papers were selected as regular-presentation papers. Mining social networks or graph data was the most popular topic in the accepted papers. There are 288 participants from 28 countries all over the world.


Descriptors :   data mining , algorithms , probability , data processing , network analysis(management) , information retrieval


Subject Categories : Information Science


Distribution Statement : APPROVED FOR PUBLIC RELEASE