ADMA 2018 - The 14th International Conference on Advanced Data Mining and Applications (ADMA)

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.