Situation Recognition Using EventShop

Situation Recognition Using EventShop

English | 18 Jun. 2016 | ISBN: 3319305352 | 160 Pages | PDF | 4.67 MB

This book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognition. It computationally defines the notion of situations as an abstraction of millions of data points into actionable insights, describes a computational framework to model and evaluate such situations and presents an open-source web-based system called EventShop to implement them without necessitating programming expertise. The book is useful for both practitioners and researchers working in the field of situation-aware computing.


[Fast Download] Situation Recognition Using EventShop

Related eBooks:
Supercomputing: 9th International Conference, ISUM 2018
Advances in Information Processing and Protection
Device-to-Device Communications in Cellular Networks
Nikon D3500 For Dummies
Computational Topology in Image Context: 7th International Workshop, CTIC 2019
Business Model Innovation in the Era of the Internet of Things
Cybersecurity Essentials
Stefan Wermter, Ron Sun - Hybrid Neural Systems
Using Office 365: With Windows 8
Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction
iPhone 6s Portable Genius: Covers iOS9 and all models of iPhone 6s, 6, and iPhone 5, 3rd Edition
Sams Teach Yourself Twitter in 10 Minutes
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.