Search Results for "events"

Plausible is lightweight and open-source web analytics. No cookies and fully compliant with GDPR, CCPA and PECR. Made and hosted in the EU, powered by European-owned cloud infrastructure. Frustrated with Google Analytics? So are we and that's why we built Plausible Analytics, a simple, lightweight (< 1 KB), open source, and privacy-friendly alternative that doesn't come from the adtech world. Web analytics went from a simple, fun and useful practice for site owners to a data-grabbing machine...

...Elasticsearch Bundle was created in order to serve the need for professional Elasticsearch integration with enterprise level Symfony 2 systems. Automatically generate mappings using a serializer. Listeners for Doctrine events for automatic indexing.

This project is a “proof-of-concept” prototype that used diagrammatic visualization for presenting multi-dimensional port data, in relation to local and global events. The visualization emphasizes relations between land-side and wharf-side elements and thus conveys derivable knowledge on labor productivity and efficiency. It can be used to convey commodity flows through the port and state, modes of transport, facilities and their capacities, operational characteristics, intermodal operations, and parameters required for calculating system efficiency, benefits and costs.

Zocalo is a toolkit for building Prediction Markets, markets in securities that pay out depending on outcomes of future events. A prediction market can provide estimates of the likelihood of specific outcomes that are more reliable than other sources of

The Mobile Analytics SDK for JavaScript allows JavaScript-enabled applications to create and submit events for analysis in the AWS Console and through Auto Export to S3 and Redshift. The library uses the browser's local storage API to create a local cache for the data, allowing your web application to batch and record events even when the app is offline. You can record monetization events to enable reports such as Average Revenue Per User (ARPU) and more.

SoNIA (Social Network Image Animator) is a Java-based package for visualizing dynamic or longitudinal network data and rendering it out as animations. The home page with examples is located at http://sonia.stanford.edu Documentation is at https://sourceforge.net/p/sonia/wiki/Main_Page/

...Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be determined via threshold-based algorithms or via analysis of max. increase of NDVI during green-up. These analyses work also for multimodal phenologies where individual seasons (partly) interfere each other. User can navigate through all steps of analysis via GUI or can define complex workflows that will be processed in batch-mode.

...We now output JSON objects and I'm working on HBase integration. By outputting to JSON it also leaves open the possibility for on the fly in memory correlation between events. Read the included README before starting, it has a quick start guide and info on the constructors.

EEG-Holter - Designed for analysis of long-term EEG - Holter. Java developed, it supports medical and logbook anotations, epileptic events data, graphics and EDF files. UNIFESP © 2009 - Aristides Tavares dos Santos, Prof. Dr. Carlos J R Campos.

A web-based prediction market (Idea Futures) system. In prediction markets, the commodities traded are claims about future events; the market price gives a consensus probability about the event's likelihood of coming true.

fedg extracts knowledge and relevant events in chinese texts to generate Feature Event Dependency Graph.FEDG is a knowledge representation model,meaningful for latent knowledge discovery and efficient reasoning.

DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.