International audienceThe mini challenge 2 from VAST 2016 dealt with understanding the operations data from GAStech, a fictional company. We analyzed two weeks of this data including, (1) employee locations collected using proximity cards, and (2) sensor data containing temperatures, heating and cooling status, and chemical concentration levels. Our approach involved data cleaning and consolidation using R, the development of a custom trajectory visualization tool for the analysis of location data, as well as the use of existing analysis tools for the combined analysis of sensor and location data. In this paper, we discuss our analysis process, and report patterns and anomalies, as well as suspicious activities identified within the buildin...
Data analysis and Machine Learning are destined to evolve the current technology infrastructure by s...
The goal of the VAST challenge 2019 Mini Challenge 2 was to visualize radioactive contaminations mea...
1 page.We gathered indoor environmental data by mounting sensors on a robot vacuum cleaner. My resea...
International audienceThe mini challenge 2 from VAST 2016 dealt with understanding the operations da...
Given vehicle tracking data, loyalty and credit card logs of employees from a fictitious company, GA...
The VAST 2014 Mini-challenge 2 provided a set of GPS vehicle tracking and credit card transaction da...
ACTNInternational audienceFleet managers are increasingly equipping their buildings with many sensor...
The 2016 VAST Challenge returns to the (fictional) island of Kronos to pose three Mini-Challenges. I...
We propose a simple tool to help the energy management of a large building stock defining clusters o...
The design choices behind a visual analytic system for monitoring a geosensor network are described ...
The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and prob...
The VAST Challenge 2015 movement dataset is mirroring current challenges in the analysis of large sp...
Crimes, forest fires, accidents, infectious diseases, human interactions with mobile devices (e.g., ...
Visual analytics science develops principles and methods for efficient human–computer collaboration ...
The article presents the process of placing sensors in a multi - sensorial network, dynamically inco...
Data analysis and Machine Learning are destined to evolve the current technology infrastructure by s...
The goal of the VAST challenge 2019 Mini Challenge 2 was to visualize radioactive contaminations mea...
1 page.We gathered indoor environmental data by mounting sensors on a robot vacuum cleaner. My resea...
International audienceThe mini challenge 2 from VAST 2016 dealt with understanding the operations da...
Given vehicle tracking data, loyalty and credit card logs of employees from a fictitious company, GA...
The VAST 2014 Mini-challenge 2 provided a set of GPS vehicle tracking and credit card transaction da...
ACTNInternational audienceFleet managers are increasingly equipping their buildings with many sensor...
The 2016 VAST Challenge returns to the (fictional) island of Kronos to pose three Mini-Challenges. I...
We propose a simple tool to help the energy management of a large building stock defining clusters o...
The design choices behind a visual analytic system for monitoring a geosensor network are described ...
The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and prob...
The VAST Challenge 2015 movement dataset is mirroring current challenges in the analysis of large sp...
Crimes, forest fires, accidents, infectious diseases, human interactions with mobile devices (e.g., ...
Visual analytics science develops principles and methods for efficient human–computer collaboration ...
The article presents the process of placing sensors in a multi - sensorial network, dynamically inco...
Data analysis and Machine Learning are destined to evolve the current technology infrastructure by s...
The goal of the VAST challenge 2019 Mini Challenge 2 was to visualize radioactive contaminations mea...
1 page.We gathered indoor environmental data by mounting sensors on a robot vacuum cleaner. My resea...