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Advances In Knowledge Discovery And Data Mining%2c Part Ii by Mohammed J. Zaki%2cjeffrey Xu Yu%2cb. Ravindran
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1DTIC AD1036538: 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.
By Defense Technical Information Center
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.
“DTIC AD1036538: 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.” Metadata:
- Title: ➤ DTIC AD1036538: 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.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC AD1036538: 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.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Kim,Jinho - Seoul National University Seoul Korea, South - data mining - algorithms - probability - data processing - network analysis(management) - information retrieval
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- Internet Archive ID: DTIC_AD1036538
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