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Introduction

Big Data overall architecture consists of three layers: data storage, data processing and data analysis. Data storage layer stores complex type and mass data, data processing layer realizes real-time processing of massive data, and only through data analysis layer, smart, in-depth and valuable information are got. When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety ,Velocity , Veracity. Big data processing key technology generally includes: data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc.).

 

In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. The 2016 IEEE International Conference on Big Data Analysis (ICBDA 2016) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application

Call for paper

Important date

2016-01-10
Final paper submission deadline

Submission Topics

Big Data Models and Algorithms

Foundational Models for Big Data

Algorithms and Programming Techniques for Big Data Processing

Big Data Analytics and Metrics

Representation Formats for Multimedia Big Data

Big Data Architectures

Cloud Computing Techniques for Big Data

Big Data as a Service

Big Data Open Platforms

Big Data in Mobile and Pervasive Computing

Big Data Management

Big Data Persistence and Preservation

Big Data Quality and Provenance Control

Management Issues of Social Network Big Data

Big Data Protection, Integrity and Privacy

Models and Languages for Big Data Protection

Privacy Preserving Big Data Analytics

Big Data Encryption

Security Applications of Big Data

Anomaly Detection in Very Large Scale Systems

Collaborative Threat Detection using Big Data Analytics

Big Data Search and Mining

Algorithms and Systems for Big Data Search

Distributed, and Peer-to-peer Search

Machine learning based on Big Data

Visualization Analytics for Big Data

Big Data for Enterprise, Government and Society

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Big Data Economics

Real-life Case Studies of Value Creation through Big Data Analytics

Big Data for Business Model Innovation

Big Data Toolkits

Big Data in Business Performance Management

SME-centric Big Data Analytics

Big Data for Vertical Industries (including Government, Healthcare, and Environment)

Scientific Applications of Big Data

Large-scale Social Media and Recommendation Systems

Experiences with Big Data Project Deployments

Big Data in Enterprise Management Models and Practices

Big Data in Government Management Models and Practices

Big Data in Smart Planet Solutions

Big Data for Enterprise Transformation

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Important Date
  • Conference Date

    Mar 12

    2016

    to

    Mar 14

    2016

  • Jan 10 2016

    Final Paper Deadline

  • Mar 14 2016

    Registration deadline

Contact Information