会议简介

ICCDA 2018, The 2nd International Conference on Compute and Data Analysis, will take place in Northern Illinois University (NIU) DeKalb, USA from March 23-25, 2018. ICCDA 2018 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Compute and Data Analysis as they assess the current state-of-the-art and roadmap crucial areas for future research.

We aim to building an idea-trading platform for the purpose of encouraging researcher participating in this event. The papers to be presented at ICCDA 2018 address many grand challenges in modern engineering. The full papers to be presented will be peer-reviewed by expert reviewers including the whole organising committees members. We will be thankful for the contributions to ICCDA 2018. We look forward to your participation and continued engagement at future ICCDA conferences.

征稿信息

重要日期

初稿截稿日期:2018-01-20

初稿录用通知日期:2018-02-10

摘要截稿日期:2018-01-15

终稿截稿日期:2018-02-20

征稿主题

  • Foundations

  • Mathematical, probabilistic and statistical models and theories

  • Machine learning theories, models and systems

  • Knowledge discovery theories, models and systems

  • Manifold and metric learning

  • Deep learning

  • Scalable analysis and learning

  • Non-iidness learning

  • Heterogeneous data/information integration

  • Data pre-processing, sampling and reduction

  • Dimensionality reduction

  • Feature selection, transformation and construction

  • Large scale optimization

  • High performance computing for data analytics

  • Architecture, management and process for data science

  • Data analytics, machine learning and knowledge discovery

  • Learning for streaming data

  • Learning for structured and relational data

  • Latent semantics and insight learning

  • Mining multi-source and mixed-source information

  • Mixed-type and structure data analytics

  • Cross-media data analytics

  • Big data visualization, modeling and analytics

  • Multimedia/stream/text/visual analytics

  • Relation, coupling, link and graph mining

  • Personalization analytics and learning

  • Web/online/social/network mining and learning

  • Structure/group/community/network mining

  • Cloud computing and service data analysis

  • Storage, retrieval and search

  • Data warehouses, cloud architectures

  • Large-scale databases

  • Information and knowledge retrieval, and semantic search

  • Web/social/databases query and search

  • Personalized search and recommendation

  • Human-machine interaction and interfaces

  • Crowdsourcing and collective intelligence

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重要日期

  • 会议日期

    03月23日

    2018

    03月25日

    2018

  • 01月15日

    2018

    摘要截稿日期

  • 01月20日

    2018

    初稿截稿日期

  • 02月10日

    2018

    初稿录用通知日期

  • 02月20日

    2018

    终稿截稿日期

联系我们

  • Ms. Maggie Lau
  • iccda_info@163.com
  • +86 1301 822222 0

承办单位

  • 北伊利诺斯大学

历届会议