Computational Intelligence and Big Data Analytics

征稿已开启

已截稿

注册已开启

已截止

活动简介

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. It is aimed to 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.

征稿信息

重要日期

2017-10-31

终稿截稿日期

List of 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