Event Date : 16th-19th December 2019
Organized by: Department of Computer Science & Engineering
Call for Paper:
- Foundational Models for Big Data
- Active Learning
- Data Mining
- Algorithms and Programming Techniques for Big Data Processing
- Nonlinear Dimensionality Reduction and Manifold Learning
- Big data in biology
- Big Data Analytics and Metrics
- Boosting and Ensemble Methods
- Recommender Systems
- Cloud Computing Techniques for Big Data
- Classification and Clustering
- Social Network Analysis
- Big Data as a Service
- Collaborative Filtering
- Computer Vision
- Big Data Open Platforms
- Components Analysis
- Image Segmentation
- Big Data Persistence and Preservation
- Missing Data
- Information Retrieval
- Big Data Quality and Provenance Control
- Adaptive Data Analysis
- Matrix and Tensor Factorization
- Big Data Storage and Retrieval
- Regression
- Music Modeling and Analysis
- Big Data System Security and Integrity
- Semi-Supervised Learning
- Video Segmentation
- Big Data Information Security
- Spectral Methods
- Tracking and Motion in Video
- Privacy Preserving Big Data Analytics
- Stochastic Methods
- Audio and Speech Processing
- Usable Security and Privacy for Big Data
- Structured Prediction
- Natural Language Processing
- Big Data Service Performance Evaluation
- Unsupervised Learning
- Natural Scene Statistics
- Big Data Service Reliability and Availability
- Link prediction
- Networking
- Real-Time Big Data Services
- Deep Learning
- Privacy, Anonymity, and Security
- Usage of Big Data Science for Optimization
- Optimization
- AI & Robotics
- Usage of Optimization for Big Data Science
- Bayesian Model
- Signal Processing
- Big Data Science for Operational Research
- Belief Propagation
- Text Analysis
- Algorithms and Systems for Big Data Search
- Causal Inference
- Time Series Analysis
- Distributed, and Peer-to-peer Search
- Distributed Inference
- Web semantic
- Machine Learning based on Big Data
- Gaussian Processes
- Biomedical knowledge discovery
- Visualization Analytics for Big Data
- Hierarchical Models
- Bioimaging
- Big Social Media Mining
- Latent Variable Models
- Neuroscience and Cognitive Science
- Real-Time Big Data Analytics
- Hierarchical Models
- Genomics
- Large-scale experimentations
- Topic Models
- Drug design and discovery
- Big Data Integration for Healthcare
- Markov Decision Processes
- Biological sequence analysis
- Big Data Sets
- Reinforcement Learning
- Immunoinformatics
- Big Data Application Benchmarks
- Game Theory
- Bio-ontology and semantics
- Big Data for Enterprise, Government, and Society
- Bioinformatics models, methods & algorithms
- Big Data for Smart Cities.
- Genetics of cell differentiation & reprogramming
- Big Data Analytics for Smart City
- Microarray analysis
- Big Data Analysis for IoT
- Next Generation Sequencing
- Big Data for Science and Engineering Research
- Medical and Health informatics
- Workflow and Knowledge Management
- Systems biology
- IoT
- Precision Agriculture
- Smart city
- Fog Computing
- Cloud Computing
Registration Fee:
- Registration Fee Indian authors(INR) Foreign Authors
- Academician 9,000.00 USD 230
- Industrial 11,000.00 USD 250
- Student 6,000.00 USD 200
- Paper submission starts 01/09/2018
- First phase submission due 31/01/2019
- First phase author notification 31/03/2019
- First phase Camera-ready paper due 15/04/2019
- Second phase submission due 31/03/2019
- Second phase author notification 31/06/2019
- Second Phase Camera-ready paper due 15/07/2019
- Third phase submission due [Firm Deadline] 31/06/2019
- Third phase author notification 31/09/2019
- Third phase Camera-ready paper due 15/10/2019
National Institute of Technology Silchar,
Barak Valley, Assam-788010
Email: malayaduttaborah[at]cse.nits.ac.in
College Website: www.nits.ac.in