- Component / Service / App
- KDD Lab of ISTI-CNR
Individual Crash Prediction based on Mobility Traces
An analytical process is provided, which analyzes the recent GPS traces of a vehicle and assigns to it a probability of having a crash in the next mid-term future (typically, one month ahead). The process is based on the analysis of historical data of several vehicles in terms of mobility (GPS p
- Component / Service / App
- KDD Lab of ISTI-CNR
Extracting relevant locations from individual mobility
A tool for analyzing the GPS traces of a vehicle to identify the places where a user stops for significant durations, and to aggregate them into locations of interest for the user. Each location is enriched with statistical information about frequency of stops.
- Component / Service / App
- University Milano Bicocca - UNIMIB
EW_Shopp – Toolkit for Weather/Event-based Data Enrichment and Analytics
The EW-Shopp toolkit aims at helping companies operating in eCommerce, Retail and Marketing industries improve their efficiency and competitiveness by supporting weather and event-based integration and analytics of data collected by companies during the shopper’s journey, which t
- Component / Service / App
- Matteo Palmonari
ABSTAT
ABSTAT is an ontology-driven linked data profiling framework that aims to help users in an effortless understanding of the data.
- Component / Service / App
- University of Milan-Bicocca
ASIA
ASIA (the name stands for Assisted Semantic Interpretation and Annotation of tables) is a table-annotation tool primarily designed to use semantic approaches for the enrichment of tabular data with new information, possibly comi
- Component / Service / App
- Università degli Studi di Trento
Modal split services
The QROWD Modal Split toolkit is a disruptive solution to generate dynamic Modal Split (MS) indicators.
- Component / Service / App
- AMIGO srl
SOON
SOON, the Station Observation Outlier fiNder, is an application that identifies errors in large data flows that need real-time filtering and cleaning. Through an easy-to-use interface, SOON provides real-time alerts on detected anomalies, and further statistics on historical data.