Name: The Fifth International Conference of Data Mining and Big Data (DMBD' 2020) Theme: SERVING LIFE WITH Data Science URL: http://dmbd2020.ic-si.org/ Dates: July 14-19, 2020 Location: Singidunum University, Belgrade, Serbia
Important Date: Feburary 29, 2020: Final Deadline for Paper Submission.
Submission Details: Prospective authors are invited to contribute their original and high-quality papers to DMBD'2020 through the online submission page at https://www.easychair.org/conferences/?conf=dmbd2020.
DMBD¡ˉ2020 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. DMBD¡ˉ2020 is the fifth event after Chiang Mai event (DMBD'2019), Shanghai event (DMBD'2018), Fukuoka event (DMBD'2017) and Bali event (DMBD'2016) 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.
Prospective authors are invited to contribute high-quality papers (8-12 pages) to DMBD¡ˉ2020 through Online Submission System. Papers presented at DMBD'2020 will be published in Springer (indexed by EI, ISTP, DBLP, SCOPUS, Web of Knowledge ISI Thomson, etc.), some high-quality papers will be selected for SCI-indexed International Journals.
Sponsored and Co-sponsored by Internatonal Association of Swarm and Evolutionary Intelligences, Singidunum University, Peking University and Southern University of Science and Technology, etc.
The DMBD¡ˉ2020 will be held in Singidunum University at Belgrade, Serbia, which is the capital and the largest city of Serbia. Belgrade is a vibrant city, surprising in its diversity and rich in its history and culture.
We look forward to welcoming you at Belgrade in 2020!
Name: The Fifth International Conference of Data Mining and Big Data (DMBD'
2020)
Theme: SERVING LIFE WITH Data Science
URL: http://dmbd2020.ic-si.org/
Dates: July 14-19, 2020
Location: Singidunum University, Belgrade, Serbia
Important Date: Feburary 29, 2020: Final Deadline for Paper Submission.
Submission Details: Prospective authors are invited to contribute their
original and high-quality papers to DMBD'2020 through the online submission page at https://www.easychair.org/conferences/?conf=dmbd2020.
DMBD¡ˉ2020 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. DMBD¡ˉ2020 is the fifth event after Chiang Mai event (DMBD'2019), Shanghai event (DMBD'2018),
Fukuoka event (DMBD'2017) and Bali event (DMBD'2016) 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.
Prospective authors are invited to contribute high-quality papers (8-12
pages) to DMBD¡ˉ2020 through Online Submission System. Papers
presented at DMBD'2020 will be published in Springer (indexed by EI, ISTP,
DBLP, SCOPUS, Web of Knowledge ISI Thomson, etc.), some high-quality papers will be selected for SCI-indexed International Journals.
Sponsored and Co-sponsored by Internatonal Association of Swarm and
Evolutionary Intelligences, Singidunum University, Peking University and
Southern University of Science and Technology, etc.
The DMBD¡ˉ2020 will be held in Singidunum University at Belgrade,
Serbia, which is the capital and the largest city of Serbia. Belgrade is a
vibrant city, surprising in its diversity and rich in its history and
culture.
We look forward to welcoming you at Belgrade in 2020!
DMBD'2020 Secretariat
Email: [email protected]
WWW: http://dmbd2020.ic-si.org