WACI 2016 - Workshop on Wild and Crazy Ideas on the interplay between IoT and Big Data

It is estimated that the amount of devices that connect to the internet will rise from about 13 billion today to 50 billion by 2020. The significant increase in connected devices that’s due to happen at the hands of the Internet of Things will, in turn, lead to an exponential increase in the amount of data generated from these devices.However, that in itself won't usher in another industrial revolution or transform day-to-day digital living. Listening to that data, making sense of it, and effectively acting on that information will be essential. To enjoy the benefits of IoT, we must define and understand how it intersects with Big Data. This involves addressing challenges of data volume, incorporating a mixture of structured and unstructured data arriving at different speeds and from heterogenous connected devices.
The inter-working of IoT and Big Data is set to transform and disrupt many areas of business and everyday life. WACI will bring together researchers and practitioners to present their latest achievements and innovations in the area of IoT and Big Data. Contributions describing techniques applied to real-world problems and interdisciplinary research involving machine learning, statistics, embedded systems and data management, in fields like automation and manufacturing, healthcare, retail, security, transportation privacy, economics and energy are especially encouraged.
We welcome submissions that define challenges, report experience, or discuss progress toward solutions.
Relevant topics include but are not limited to:
Evaluation of machine learning models on sensor data
Distributed and parallel learning algorithms and applications
Machine learning tools and APIs
Cooperative and multi-agent inference algorithms
Online and incremental learning
Dealing with missing and low quality data
Summarizing large data-sets
Knowledge discovery and modeling in big data
Statistical, reinforcement and neural network learning
Applications, case studies and deployments of IoT and Big Data projects