活动简介

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.

征稿信息

重要日期

2017-03-10
初稿截稿日期
2017-03-31
初稿录用日期
2017-04-30
终稿截稿日期

征稿范围

Theories

  • 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

Algorithms

  • 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

Applications

  • 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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重要日期

  • 会议日期

    07月27日

    2017

    至

    08月01日

    2017

  • 03月10日 2017

    初稿截稿日期

  • 03月31日 2017

    初稿录用通知日期

  • 04月30日 2017

    终稿截稿日期

  • 08月01日 2017

    注册截止日期

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