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The Second International Conference on Data Mining and Big Data (DMBD’2017) (IEEE Conference Record #41362) serves as an international forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of data mining and big data. The DMBD’2017 is the second event after the successful first event (DMBD’2016) at Bali Island of Indonesia from June 25-29, 2016, which attracted more than one hundred of delegates from all over the world to attend and share their latest achievements, innovative ideas, marvelous designs and excel implementations. Papers of the DMBD’2017 will be published in Springer’s Lecture Notes in Computer Science (indexed by EI Compendex, ISTP, DBLP, SCOPUS, Web of Science ISI Thomson, etc.), some high-quality papers will be selected for SCI-indexed Transaction and Journals. BTW, all papers published in DMBDI‘2016 proceedings have been indexed by EI compendex, ISTP, DBLP, and many other famous databases.

The DMBD’2017 will be held in the center of the Fukuoka City. Historical city, Fukuoka, is the 5th largest city in Japan with 1.55 million populations and is the 7th most liveable city in the world according to the 2016 Quality of Life Survey by Monocle. Fukuoka locates at the northern end of the Kyushu Island and is the economic and cultural center of whole Kyushu Island. Because of its closeness to the Asian mainland, Fukuoka has been an important harbor city for many centuries. Today's Fukuoka is the product of the fusion of two cities in the year 1889, when the port city of Hakata and the former castle town of Fukuoka were united into one city called Fukuoka.

Call for paper

Important date

Draft paper submission deadline
Draft paper acceptance notification
Final paper submission deadline

Submission Topics


  • Data mining systems

  • Mining media data

  • Recommendation

  • Case-based reasoning

  • Similarity-based reasoning

  • Clustering

  • Classification

  • Prediction

  • Association rules

  • Experimentation strategy

  • Capability indices

  • Deviation and novelty detection

  • Control charts

  • Conception learning

  • Inductive learning

  • Sampling methods

  • Similarity measures

  • Statistical learning

  • Bayesian learning


  • Visualization

  • Feature grouping, discretization,selection, transform

  • Featurelearning

  • Frequent pattern mining

  • Adaptive control

  • Learning for handwriting recog.

  • Learning in image

  • Financial data

  • Mining motion from sequence

  • Subspace methods

  • Support vector machines

  • Sequential pattern mining

  • Desirabilities

  • Graph mining

  • Agent data mining

Big Data

  • Foundational models for big data

  • algorithms

  • Data processing

  • Big data analytics Big data metrics

  • Multimedia data

  • Cloud computing techniques

  • Big data for service

  • Mobile/pervasive computing

  • Big data quality

  • Provenance control

  • Privacy preserving

  • Big data encryption

  • Anomaly detection

  • Collaborative Threat detection

  • algorithms

  • Machine learning based on big data

  • Visualization

  • Big data analytics

  • Big data in business performance


  • Immune systems

  • Marketing

  • Medicine

  • Biotechnology

  • Quality manage.

  • Multimedia data

  • Intrusion detection

  • Agriculture

  • Meteorology

  • Finance

  • Legal informatics Social media

  • Deep neural nets

  • Proba. reasoning

  • Reinforcement

  • Supervised learning

  • Fuzzy logic

  • Game theory

  • Applications in data mining and big data

  • Challenges in data mining and big data

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Important Date
  • Conference Date

    Jul 27



    Aug 01


  • Mar 10 2017

    Draft paper submission deadline

  • Mar 31 2017

    Draft Paper Acceptance Notification

  • Apr 30 2017

    Final Paper Deadline

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