International Conference on Big Data, IoT & Data Analytics 2017 BID 2017 (IEEE No. 40833)

CONFERENCE TRACKS:

1. Big data
2. Networks and Communication
3. Embedded Systems
4. Internet of Things
5. Soft Computing
6. Data Science & Analysis
7. Interdisciplinary Aspects

CONFERENCE TOPICS:

Internet of Things

Intelligent Systems for IoT;Environmental Monitoring; Energy Aware Systems and Efficiency; Machine to Machine/Device Communications; Network Design and Architecture; Networking and Communication Protocols; Wireless Systems and Applications; Infrastructure Management; IoT and e-Government, e-Commerce, e-Science and Novel Technologies; IoT and Big Data; Home Automation; Software Architecture, Middleware, and Frameworks; Services Computing; Health Informatics as a Service; Financial Software as a Service; Business Process as a Service; Natural Science as a Service; Integration as a Service; Large Scale Deployments; Mobile Services; Knowledge Management; Location-awareness; Security and Privacy; Social Implications of IoT; Technological focus for Smart Environments; Smart City Case Studies; Data Analysis and Visualization; Architecture for secure and interactive IoT; Intelligent Infrastructure and Guidance Systems; Sensor Networks, Remote Diagnosis and Development; Transportation Management; Pattern Recognition and Recommendation Systems; Green Computing; Smart City and Novel Methodologies; Data Processing Techniques; Analytics and Statistical Methods; Data Center Enabled Technologies; Sensor, Wireless Technologies and APIs; Networking and Social Networks; IoT in Social Sciences; Education and Learning; Business, Finance and Management; Open data: Issues, Services and Solutions; Earth Science Simulation and Processing; Practical Adoption of IoT and Case Studies; Healthcare Services and Health Informatics; Cloud, Grid and Cluster Computing; Emerging IoT

Algorithms for Big Data

Data and Information Fusion; Algorithms (including Scalable methods); Natural Language Processing; Signal Processing; Simulation and Modeling; Data-Intensive Computing; Parallel Algorithms; Testing Methods; Multidimensional Big Data; Multi-linear Subspace Learning; Sampling Methodologies; and Streaming

Big Data Fundamentals

Novel Computational Methodologies; Algorithms for Enhancing Data Quality; Models and Frameworks for Big Data; Graph Algorithms and Big Data; Computational Science; and Computational Intelligence

Data Science

Conversion of Data to Information; Conversion of Data to Knowledge; Data Mining; Information Mining; Predictive Analytics; Knowledge Discovery; Cloud Computing; Databases and Information Integration; Signal Processing; Natural Language Processing; Information Retrieval Methods; and Information Visualization

Infrastructures for Big Data & Data Science

Cloud Based Infrastructures (applications, storage & computing resources); Grid and Stream Computing for Big Data; High Performance Computing, Including Parallel & Distributed Processing; Autonomic Computing; Cyber-infrastructures and System Architectures; Programming Models and Environments to Support Big Data; Software and Tools for Big Data; Big Data Open Platforms; Emerging Architectural Frameworks for Big Data; Paradigms and Models for Big Data beyond Hadoop/MapReduce.

Big Data & Data Science Management and Frameworks

Database and Web Applications; Federated Database Systems; Distributed Database Systems; Distributed File Systems; Distributed Storage Systems; Knowledge Management and Engineering; Massively Parallel Processing (MPP) Databases; Novel Data Models; Data Preservation and Provenance; Data Protection Methods; Data Integrity and Privacy Standards and Policies; Novel Data Management Methods; Crowdsourcing; Stream Data Management; and Scientific Data Management.

Big Data Search

Multimedia and Big Data; Social Networks; Web Search and Information Extraction; Scalable Search Architectures; Cleaning Big Data (noise reduction), Acquisition & Integration; Visualization Methods for Search; Time Series Analysis; Recommendation Systems; and Graph Based Search and Similar Technologies.

Security & Privacy in the Era of Data Science & Big Data

Cryptography; Threat Detection Using Big Data Analytics; Privacy Threats of Big Data; Privacy Preserving Big Data Collection; Intrusion Detection; Socio-economical Aspect of Big Data in the Context of Privacy and Security.

Applications of Big Data:

Big Data as a Service; Big Data Analytics in e-Government and Society; Applications in Science, Engineering, Healthcare, Visualization, Business, Education, Security, Humanities, Bioinformatics, Health Informatics, Medicine, Finance, Law, Transportation, Retailing, Telecommunication, all Search-based applications.