Fog Reveal - Wikipedia
Fog Reveal is a tracking tool that aggregates location data from mobile apps. It is a product of FOG Data Science. FOG Data Science is a limited liability
CLIPPER: Robust Data Association without an Initial Guess
Identifying correspondences in noisy data is a critically important step in estimation processes. When an informative initial estimation guess is available, the data association challenge is less acute; however, the existence of a high-quality initia...
ELLE: Efficient Lifelong Pre-training for Emerging Data
Current pre-trained language models (PLM) are typically trained with static data, ignoring that in real-world scenarios, streaming data of various sources may continuously grow. This requires PLMs to integrate the information from all the sources in...
5e-bits/5e-database
Database for the D&D 5th Edition API (⭐ 862)
adamribaudo/storytelling-with-data-ggplot
Recreation of Cole Nussbaumer Knaflic's Storytelling with Data plots using R an ggplot2 (⭐ 233)
Using Professional Social Networking as an Innovative Method for Data Extraction…
The lack of data regarding Information and Communications Technology sector alumni data is a known problem in several countries including Egypt. It is not clear what entry and senior jobs are occupied by alumni and which countries attract them. This...
Richienb/ros-data-waster
The easiest way to waste your data. (⭐ 87)
A Bespoke Workflow Management System for Data-Driven Urgent HPC
In this paper we present a workflow management system which permits the kinds of data-driven workflows required by urgent computing, namely where new data is integrated into the workflow as a disaster progresses in order refine the predictions as tim...
Evaluation of Arterial Signal Coordination with Commercial Connected Vehicle Dat…
Emerging connected vehicle (CV) data sets have recently become commercially available. This paper presents several tools using CV data to evaluate traffic progression quality along a signalized corridor. These include both performance measures for hi...
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking
In this work, we introduce X-FACT: the largest publicly available multilingual dataset for factual verification of naturally existing real-world claims. The dataset contains short statements in 25 languages and is labeled for veracity by expert fact-...
When is dataset cartography ineffective? Using training dynamics does not improv…
In this paper, I investigate the effectiveness of dataset cartography for extractive question answering on the SQuAD dataset. I begin by analyzing annotation artifacts in SQuAD and evaluate the impact of two adversarial datasets, AddSent and AddOneSe...
Google Cloud Dataflow - Wikipedia
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem. Dataflow provides a fully
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of S…
Data represented as strings abounds in biology, linguistics, document mining, web search and many other fields. Such data often have a hierarchical structure, either because they were artificially designed and composed in a hierarchical manner or bec...
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datas…
Often logs hosted in large data centers represent network traffic data over a long period of time. For instance, such network traffic data logged via a TCP dump packet sniffer (as considered in the 1998 DARPA intrusion attack) included network packet...
Succinct data structure - Wikipedia
In computer science, a succinct data structure is a data structure which uses an amount of space that is "close" to the information-theoretic lower bound
Purely functional data structure - Wikipedia
In computer science, a purely functional data structure is a data structure that can be directly implemented in a purely functional language. The main
Workiva/go-datastructures
A collection of useful, performant, and threadsafe Go datastructures. (⭐ 7908)
Principles for data analysis workflows
Traditional data science education often omits training on research workflows: the process that moves a scientific investigation from raw data to coherent research question to insightful contribution. In this paper, we elaborate basic principles of a...
wickyaswal/php-my-sql-pdo-database-class
A database class for PHP MySQL which utilizes PDO. (⭐ 651)
Hydra -- A Federated Data Repository over NDN
Today's big data science communities manage their data publication and replication at the application layer. These communities utilize myriad mechanisms to publish, discover, and retrieve datasets - the result is an ecosystem of either centralized, o...