Please click here to submit your paper via EasyChair.
The BigDML solicits outstanding original research papers to be submitted in the following tracks but not limited to:
Track-II: Machine Learning
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