Fourth International Conference on
Computational Intelligence and Big Data analytics (CIBDA)
15-16, December 2017
Organised by
Institute of Bioinformatics and Computational Biology (IBCB), Visakhapatnam

About the Conference

               We are proud to announce an International Conference on - “Computational Intelligence and Big Data Analytics (CIBDA-2017) being organized by IBCB, India and will take place at Visakhapatnam, Andhra Pradesh, India - 530003 on 15-16, December- 2017. We encourage researchers from around the world to submit their best basic and applied work in Computational Intelligence and Data Science, and to attend in order to discuss the latest theories and data from the data scientists.
This conference will be useful for professionals working in data science, big data, machine learning, artificial intelligence and predictive modeling.
Computational Intelligence (CI) can be explained in simple terms as a new era of evolution inspired by the nature and delivers interesting results possessing promising applications in both scientific and technological fields. CI is a vast and robust subject with its evolution still on the go making it the hot subject, which is to be observed extensively to form the foundation of unequivocal requirements.
In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself.

It is understandable that by discussing, sharing and gaining the knowledge it can be very beneficial in achieving the best results. We cordially invite you to join us, to share and gain the knowledge of recent developments in the fields of Data Science and Intelligent Systems.

Call For Papers

CIBDA invites Technical Papers, Short Papers, Posters, Research Articles in the domains of:

Conference Topics
  • Computational Intelligence and Soft Computing
  • Structural Biology
  • Brain Function Analysis
  • Foundations, algorithms, models and theory of data mining
  • Machine learning and statistical methods for data mining
  • Data mining systems and platforms, their efficiency, scalability and privacy
  • Data mining in modeling, visualization, personalization and recommendation
  • Applications of data mining in all domains including social, web, bioinformatics and finance
  • Neural Networks
  • Restricted Boltzmann Machine
  • Deep Belief Network
  • Fuzzy Logic
  • Rough Sets
  • Evolutionary Algorithms (EA)
  • Genetic Algorithms (GA)
  • Swarm Intelligence
  • Artificial Immune Systems And Support Vector Machines
  • Gene Expression Clustering And Classification
  • Protein Sequence Classification
  • Gene Selection
  • DNA Fragment Assembly
  • Multiple Sequence Alignment
  • Protein Function Prediction And Its Structure
  • Foundational Models for Big Data
  • Algorithms and Programming Techniques for Big Data Processing
  • Big Data Analytics and Metrics
  • Novel Theoretical Models for Big Data
  • New Computational Models for Big Data
  • Data and Information Quality for Big Data
  • New Data Standards
  • Cloud Computing Techniques for Big Data
  • Big Data as a Service
  • Big Data Open Platforms
  • Data Stream Algorithms
  • Randomized Algorithms for Matrices and Data
  • Algorithmic Techniques for Big Data Analysis
  • Models of Computation for Massive Data
  • The Modern Algorithmic Toolbox
  • Big data storage architecture
  • GEOSS clearinghouse
  • Distributed and parallel computing
  • Image/Video Processing and Analysis
  • Transform-based and Multi-resolution Image/Video Analysis
  • Biological and Perceptual Models for Image/Video Processing
  • Biomedical Image Analysis
  • Machine Learning in Image/Video Analysis
      And any other domain related to the objective of the conference.

          The papers should neither be published previously nor currently under review by any other conference or journal. The papers should contain the relevant technical support, experimental proof and cross validation by the available literature or any other experiment and tools. The papers can be based on Hypothesis, Novel innovation, case study or a focus on an aspect.

The selected Papers would be shortlisted for the presentation on the day of conference. Decision on the papers will be intimated through e mail along with the guidelines and last dates for the submission of the camera ready manuscript.

Each paper will be peer-reviewed by two experts in the field for originality, significance, clarity, impact, and soundness.

All the accepted Papers will be published by
Helix International Journal ( listed in Thomson reuters) or Springer

Papers can be submitted by using Log in to EasyChair for CIBDA-2017

Paper Format/Template will be provided after completion of review for submission of final camera ready papers
Our Previous Proceedings
http://www.springer.com/in/book/9789811003905 http://www.springer.com/in/book/9789811003073 http://www.springer.com/in/book/9789812873378 http://www.springer.com/in/book/9789812872593