[AISWorld] The 3nd round Call for Papers: AMDA2016

[徐秀娟]

The 3nd round Call for Papers: AMDA2016

Due to many requests, we have decided to extend the deadline of full paper submission to **24 July 2016**.


The 12th International Conference on Advanced Data Mining and Applications (ADMA 2016)
12-15 Dec 2016, Gold Coast, Australia
http://cs.adelaide.edu.au/~adma2016


The year 2016 marks the 12th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA 2016), which will be held in Gold Coast, Australia, 12-15 Dec 2016. It is our great pleasure to invite you to contribute papers, register and participate in this premier annual event on research and applications of data mining.
 
A growing attention has been paid to the study, development and application of data mining. As a result, there is an urgent need for sophisticated techniques and tools that can handle new subfields of data mining, e.g., smartphone and social network data mining, spatial data mining in the context of spatial-temporal characteristics, streaming data mining, green computing data mining, biomedical data mining, and the Internet of Things. Our expertise in data mining also has to be expanded to new applications. In 2016, the 12th anniversary of the premiere International Conference series on Advanced Data Mining and Applications aims at bringing together the experts on data mining from all over the world, and provides a leading international forum for the dissemination of original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potentials in data mining. The proceedings of the conference will be published by Springer in its Lecture Notes in Computer Science series, and indexed by EI.

We invite authors to submit papers on any topics of advanced data mining and applications, including but not limited to:

* Advanced Data Mining Topics:
1. Grand challenges of data mining
2. Parallel and distributed data mining algorithms
3. Mining on data streams
4. Graph mining
5. Spatial data mining
6. Text, video, multimedia data mining
7. Web mining
8. 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

* Data Mining Applications in the following areas:
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


* Emerging topics:
Other timely topics related to data mining and its applications.

Submission of Regular 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 LNCS (Lecture Notes in Computer Science) format.

Best Paper Award
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.

Special Issues
High quality papers accepted by ADMA 2016 will be invited to submit an extended version for consideration of several special issues at leading international journals.

 
Important Dates
Full paper submission due    Jul 24, 2016
Acceptance notification     Sep 15, 2016
Camera-ready due         Sep 25, 2016
Conference dates         Dec 12-15, 2016


General Co-Chairs
Michael Sheng, University of Adelaide, Australia
Osmar Zaiane, University of Alberta, Canada


Program Co-Chairs
Jinyan Li, University of Technology Sydney, Australia
Shuliang Wang, Beijing Institute of Technology, China
Xue Li, University of Queensland, Australia