ADMA2018: The 14th International Conference on Advanced Data Mining and Applications Nanjing, China, November 16-18, 2018 |
Submission link | https://easychair.org/conferences/?conf=adma2018 |
ADMA 2018 CALL FOR PAPERS
The 14th International Conference on Advanced Data Mining and Applications (ADMA)
http://adma2018.nuaa.edu.cn/
16-18 November, 2018, Nanjing, China
The year 2018 marks the 14th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA 2018) , which will be held in Nanjing, China, November 16-18, 2018. It is our great pleasure to invite you to contribute papers and participate in this premier annual event on research and applications of data mining
Nanjing is the capital of China's Jiangsu Province and a city with a prominent place in Chinese history and culture. Nanjing has served as the capital of China during several historical periods, and is listed as one of the Four Great Ancient Capitals of China. Nanjing is located in the downstream Yangtze River drainage basin and Yangtze River Delta economic zone, Nanjing has always been one of China's most important cities.
The conference aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining, such as smartphone and social network mining, bio-medical science and green computing. ADMA 2018 will promote the same close interaction and collaboration among practitioners and researchers. Published papers will go through a full peer review process.
We invite authors to submit papers on topics of data mining and applications, including but not limited to:
Data Mining Theory:
1. Data mining foundations;
2. Grand challenges of data mining;
3. Parallel and distributed data mining algorithms;
4. Mining on data streams;
5. Graph mining;
6. Spatial data mining;
7. Text, video, multimedia data mining;
8. Web mining; High performance data mining algorithms;
9. Correlation mining;
10. Benchmarking and evaluations;
11. Interactive data mining;
12. Data-mining-ready structures and pre-processing;
13. Data mining visualization;
14. Information hiding in data mining;
15. Security and privacy issues;
16. Competitive analysis of mining algorithms;
17. Internet of Things mining;
18. Personalization and recommendation systems
Data Mining Applications:
1. Big data;
2. Web of Things;
3. Grid computing;
4. DNA sequencing, bioinformatics, genomics, and biometrics;
5. Image interpretations;
6. E-commerce and Web services;
7. Medical informatics;
8. Disaster prediction;
9. Remote monitoring;
10. Financial market analysis;
11. Online filtering;
12. Application of Data Mining in Education;
13. Social network data mining;
14. Smartphone data mining;
15. Database administration, indexing, performance tuning;
16. Green computing data mining;
17. Smart Nation applications;
18. Crowdsourcing.
Submission of Papers
Paper submission will be electronic through the easy-chair website. The paper should be in English and contain unpublished contributions to the data mining and related fields. The paper should not exceed 15 pages in LNAI (Lecture Notes in Artificial Intelligence) format. Manuscripts must be prepared in accordance with the LNAI format. For the template and details on the LNCS style, see Springer’s Author Instructions. Submissions are reviewed in a single-blind manner.
Best Paper Awards
The award will be given to the paper that the Program Committee judges to be the best in quality, execution and impact among all the accepted papers in the conference.
Publications
The proceedings will be published as LNAI by Springer. They have been published since ADMA started in 2005.
Special Issues
High quality papers accepted by ADMA 2018 will be invited to submit an extended version for consideration of several special issues at leading international journals, including the WWWJ.
Call For Demos
We invite proposals for demonstrations to be displayed at the Demo Session that will be organized during the ADMA 2018 conference. The demonstration will provide a forum for researchers, practitioners and developers from academia, industry and government to display their latest data mining software systems, prototypes, conceptual designs, libraries, etc., in an interactive and inspiring setting.
Demo of advanced data mining and applications that involve state-of-the-art data mining techniques or innovative man-machine interaction are highly encouraged. Submitted demo is not required to be ready for commercial application, as long as it is of interest to the ADMA community.
The demo proposals should clearly describe the motivation and design of the demo system, the functionality of the work, and the significant of the contribution from a research and practical perspectives.
Submission Guidelines
1. Demo proposals must include a paper that is no longer than four pages in LNCS (Lecture Notes in Computer Science) style.
2. At the conference, all accepted demos will be evaluated for the Best Demo Award.
3. Papers of the accepted demos will be published in the ADMA 2018 Conference Proceedings.
4. Demo proposals must be submitted electronically to the dedicated email address for the demo session at adma18demo@gmail.com. Please do not to submit your demo proposals to the main conference.
Selection Criteria
1. Relevance to the ADMA community
2. Novelty of the application domain
3. Attractiveness of the interactive system
4. Technology used in the demo software
5. Potential for commercial applications
Important Deadlines
Full paper submission due: 16 June, 2018 (30 June, 2018)
Demo proposal submission due: 30 July, 2018
Acceptance notification: 1 September, 2018
Camera-ready due: 15 September, 2018
Author registration due: 12 October, 2018
Early bird registration due: 30 October, 2018
Conference time: 16-18 November, 2018
Committees
Steering Committee
Prof Xue Li, University of Queensland, Australia (co-Chair)
Prof Shuliang Wang, Beijing Institute of Technology, China(co-Chair)
Prof Jie Cao, Nanjing University of Finance and Economics, China
Prof Michael Sheng, Macquarie University, Australia
Prof Jie Tang, Tsinghua University, China
Prof Kyu-Young Whang, Korea Advanced Institute of Science and Technology, Korea
Prof Min Yao, Zhejiang University, China
Prof Osmar Zaiane, University of Alberta, Canada
Prof Chengqi Zhang, University of Technology Sydney, Australia
Prof Shichao Zhang, Guangxi Normal University, China
Program Committee
Xingquan (Hill) Zhu (co-Chair)
Shuliang Wang, Beijing Institute of Technology, China
Swati Agarwal, IIIT-Delhi
Djamal Benslimane, Lyon 1 University
Tossapon Boongoen, Mae Fah Luang University
Yi-Shin Chen, National Tsing Hua University
Lisi Chen, Hong Kong Baptist University
Weitong Chen, The University of Qeensland
Yuan Fang, Institute for Infocomm Research
Kaiyu Feng, Nanyang Technological University
Philippe Fournier-Viger, Harbin Institute of Technology Shenzhen Graduate School
Tao Guo, Nanyang Technological University
Jialong Han, Nanyang Technological University
Bryan Hooi, Carnegie Mellon University
Wei Hu, Nanjing University
Guangyan Huang, Deakin University
Chih-Chieh Hung, Tamkang University
Shafiq Joty, University of British Columbia
Jianxin Li, University of Western Australia
Xutao Li, Harbin Institute of Technology
Haiquan Li, University of Arizona
Cheng-Te Li, National Cheng Kung University
Jinyan Li, University of Technology Sydney
Gang Li, Deakin University
Guosheng Lin, Nanyang Technological University
Bin Liu, IBM Thomas J. Watson Research Center
Cheng Long, Queen's University Belfast
Xudong Luo, Guangxi Normal University
Marco Maggini, University of Siena
Toshiro Minami, Kyushu Institute of Information Sciences and Kyushu University
Yasuhiko Morimoto, Hiroshima University
Gunarto Sindoro Njoo, National Chiao Tung University
Tuan Anh Pham, Nanyang Technological University
Hai Phan, University of Oregon
Tieyun Qian, Wuhan University
Yongrui Qin, University of Huddersfield
Wenjie Ruan, University of Oxford
Professor Dharmendra Sharma, University of Canberra
Michael Sheng, Macquarie University
Hyun Ah Song, Carnegie Mellon University
Guojie Song, Peking University
Eiji Uchino, Yamaguchi University
Xianzhi Wang, Singapore Management University
Hongzhi Wang, Harbin Institute of Technology
Qinsi Wang, Carnegie Mellon University
Chenguang Wang, IBM Research
Wei Wei, Huazhong University of Science and Technology
Yu-Ting Wen, National Chiao Tung University
Feng Xia, Dalian University of Technology
Zhipeng Xie, Fudan University
Guandong Xu, University of Technology Sydney
Hui-Gwo Yang, National Chiao Tung University
Zijiang Yang, York University
Dezhong Yao, Nanyang Technological University
Lina Yao, The University of New South Wales
Qi Yu, Rochester Institute of Technology
Quan Yuan, University of Illinois at Urbana-Champaign
Guang Lan Zhang, Boston University
Wei Emma Zhang, Macquarie University
Shichao Zhang, Guangxi Normal University
Kaiqi Zhao, Nanyang Technological University
Yong Zheng, Illinois Institute of Technology
Xiaofeng Zhu, Guangxi Normal University
Organizing committee
Bohan Li, NUAA, China