[AISWorld] ICIIT 2018 - FINAL CALL FOR DATA SCIENCE PAPERS - INDIA - REG ( Extended Submission Deadline : July 29, 2018)

[Program Chair - ICIIT 2018]

FINAL CALL FOR DATA SCIENCE PAPERS
International Conference on Intelligent Information Technologies (ICIIT 2018); Chennai, India; December 11-14, 2018;
Publication Springer CCIS;
Extended Submission Deadline: July 29, 2018;
Distinguished papers selected from ICIIT 2018, after further extensions, will be recommended for publication in an International Journal; Details can be found at https://www.iciit.in/cfp.html

GENERAL CO-CHAIRS
Prof. Ricardo Baeza-Yates, NTENT & Northeastern University at SV, USA
Prof. P. Yogesh, Anna University, India

PROGRAM CO-CHAIRS
Prof. Leman Akoglu, Carnegie Mellon University, USA
Prof. Emilio Ferrara, University of Southern California, USA

TRACK CO-CHAIRS
Dr. Suren Byna, Lawrence Berkeley National Laboratory, USA
Dr. Amruta Joshi, Google, India
Dr. Eleanor Loh, Deliveroo, United Kingdom
Dr. Deivamani Mallayya, Anna University, India
Dr. Moumita Sinha, Adobe, USA
Dr. Ravi Vijayaraghavan, Flipkart, India

KEYNOTE SPEAKERS
Dr. Mohan Chandrasekaran, IBM Research, USA
Dr. Lipika Dey, Tata Consultancy Services, India
Dr. Amruta Joshi, Google, India
Dr. Rajeev Rastogi, Amazon, India
Dr. Raj Reddy, Carnegie Mellon University, USA
Dr. Hari Vasudev, Walmart Labs, India
Dr. Ravi Vijayaraghavan, Flipkart, India

For more details on the rest of program committee, see the conference website.

SUBMISSION DETAILS
Submission Site: https://cmt3.research.microsoft.com/ICIIT2018

For formatting Guidelines, LaTeX Styles and Word Template, see more information on https://www.iciit.in/style.html

ENQUIRIES

Please send all enquiries about the technical program to the ICIIT 2018 Program Chair, at the email address programchair at iciit.in<mailto:programchair at iciit.in>

ICIIT 2018 - TOPICS (but not limited to)

DATA SCIENCE FOUNDATIONS
Data analytics
Data classification and taxonomy
Data metrics and metrology
Data preservation and provenance
Data Science
Deep learning and deep analytics
Fault tolerance, reliability and availability
Feature selection, transformation and construction
Foundational algorithms and methods for big data
Foundational theories and models of data science
Machine learning and deep learning
Security, privacy and trust in Data

DATA MANAGEMENT AND PROCESSING
Cloud architectures and cloud computing
Data capturing, and scheduling techniques
Data representation, dimensionality reduction, processing and proactive service layers
Data sensing, fusion and mining
Data warehouses and large-scale databases
Dimensionality reduction, processing and proactive service layers
Distributed computing and parallel processing
High performance computing and processing
Human-machine interaction and interfaces
Knowledge discovery from multiple information sources
MapReduce, Hadoop, Spark, scalable computing and storage platforms
Massively Parallel Processing (MPP) Databases
Meta-data management
Parallel and distributed data storage and processing infrastructure
Remote data access
Replication, archiving, preservation strategies
Stream data processing and integration


DATA ANALYTICS AND APPLICATIONS
Massive, cross-media, streaming systems
Big Data, cloud computing and data intensive systems
Computational social science, social network analysis, information diffusion, social influence, temporal analysis, accessibility
Computer Vision
Crowdsourcing and collective intelligence applications
Data intensive computing on accelerators and GPUs
Data science applications in healthcare, education, social science, business, transportation, energy, telecommunications, science, and humanities
HPC system architecture, programming models and run-time systems for data intensive applications
Human-Computer Interaction
Human-in-the-loop systems
Information and knowledge retrieval, and semantic search
Information visualization and visual data analytics
Internet of Things Analytics
Mobile and Autonomous Robots
Personalized search and recommendation
Predictive analytics
Privacy preserving big data software
Privacy-Aware Data Analytics
Programming models, abstractions for data intensive computing
Robotics and Image Processing
Robotics and IoT
Semantics of Big Data
Social mining analytics / Game Analytics and applications
Stream Data Management and Analytics
Streaming Data Analytics
Text analytics and NLP, Multimedia Analytics
Topic Modelling
Web/social/databases query and search

Regards,
Local Arrangements Chair - ICIIT 2018