The 4^th International Conference on Data Mining and Big Data (DMBD’2019)

July 26-30, 2019, Chiang Mai, Thailand

Call For Paper

The Fourth International Conference on Data Mining and Big Data (DMBD’2019) serves as an international forum for researchers and practitioners to exchange latest advantages in theories, algorithms, models, and applications of data mining and big data as well as artificial intelligence techniques. Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. Big data contains huge amount of data and information and is worth researching in depth. DMBD’2019 is the fourth event after the preceding Shanghai, Fukuoka and Bali events where more than hundreds of delegates from all over the world to attend and share their latest achievements, innovative ideas, marvelous designs and excel implementations. The theme of DMBD’2019 is “SERVING LIFE WITH DATA SCIENCE”. Papers presented at DMBD’2019 will be published Springer-Nature in Lecture Notes in Computer Science (indexed by EI, ISTP, DBLP, SCOPUS, ISI Web of Science, etc.) while some high-quality papers will be selected for SCI-indexed Journals.

The DMBD’2019 will be held in Chiang Mai of Thailand, which was founded in 1296 as the capital of the ancient Lanna Kingdom, located 700 km north of Bangkok in a verdant valley on the banks of the Ping River. Chiang Mai is a land of misty mountains and colorful hill tribes, a playground for seasoned travelers, a paradise for shoppers and a delight for adventurers. Chiang Mai can expand visitors’ horizons with Thai massage, cooking courses, variety of handicrafts and antiques. Despite its relatively small size, Chiang Mai truly has it all. Today it is a place where past and the present seamlessly merge with modern buildings standing side by side with venerable temples. If you want to enjoy both modern and traditional city, come to Chiang Mai of Thailand, you will love it and enjoy your trip.

Topics of interest include, but are not limited to, the following topic areas:

• Theory, algorithms and models of data mining
• Machine learning for data mining
• Statistical methods for data mining
• Data mining systems
• Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
• Association rules
• Capability indices
• Deviation and novelty detection
• Conceptional learning
• Inductive learning
• Organisational Learning
• Evolutional learning
• Sampling methods
• Similarity measures
• Similarity learning
• Data models and architectures
• Security, privacy, and trust
• Data protection and integrity
• Identity theft, data loss and leakage
• Legal and ethicalissues
• Data analytics and metrics
• Data representation and structures
• Social networks analysis
• Data searching and mining
• Visualisation of data
• Personal data logging and quantified-self
• Context-aware data
• Data economics
• Applications of datamining and big data
• Methodologies and use cases

Important Dates

Submission Deadline	:	January 30, 2019
Notification acceptance:	:	March 31, 2019
Camera-ready submission	:	April 15, 2019



User Name : alex
Posted 27-11-2018 on 16:07:27 AEDT

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