Data is the lifeblood of the modern world, forming a fundamental part of AI, decision-making, and research advances. With increase in interest in data, governments have taken important steps towards a regulated data world, drastically impacting data...
Industry 4.0 offers opportunities to combine multiple sensor data sources using IoT technologies for better utilization of raw material in production lines. A common belief that data is readily available (the big data phenomenon), is oftentimes chall...
Data streams are often defined as large amounts of data flowing continuously at high speed. Moreover, these data are likely subject to changes in data distribution, known as concept drift. Given all the reasons mentioned above, learning from streams...
Reference data is data used to classify or categorize other data. Typically, they are static or slowly changing over time. Examples of reference data include:
Nov 11, 2024 · Metadata is often described as “data about data,” providing information about a data item, file, or collection that helps us understand, find, and use it effectively.
This document defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an...
Looking to export all data? Go to Export all your organization's data. With the Data Export tool, you can export some or all of your organization’s data to a Google Cloud Storage archive and download it. …
Looking to export all data? Go to Export all your organization's data. With the Data Export tool, you can export some or all of your organization’s data to a Google Cloud Storage archive and …
Hi reddit! We [unveiled the CERN Open Data Portal to the world](http://home.web.cern.ch/about/updates/2014/11/cern-makes-public-first-data-lhc-experiments) recently, releasing [samples for education]...
This paper discusses about the challenges, advantages and shortcomings of existing solutions in data security and privacy in public cloud computing. As in cloud computing, oceans of data will be stored. Data stored in public cloud would face both out...
We introduce the concept of {\it fresh data trading}, in which a destination user requests, and pays for, fresh data updates from a source provider, and data freshness is captured by the {\it age of information} (AoI) metric. Keeping data fresh relie...
Despite data's crucial role in machine learning, most existing tools and research tend to focus on systems on top of existing data rather than how to interpret and manipulate data. In this paper, we propose DataLab, a unified data-oriented platform t...
In the context of cloud environments, data providers entrust their data to data consumers in order to allow further computing on their own IT infrastructure. Usage control measures allow the data provider to restrict the usage of its data even on the...
Data binning, also called data discrete binning or data bucketing, is a data pre-processing technique used to reduce the effects of minor observation errors
Points: 43 | Comments: 1 | Author: jakek
Data likelihood of fire detection is the probability of the observed detection outcome given the state of the fire spread model. We derive fire detection likelihood of satellite data as a function of the fire arrival time on the model grid. The data...
Textbook data is essential for teaching statistics and data science methods because they are clean, allowing the instructor to focus on methodology. Ideally textbook data sets are refreshed regularly, especially when they are subsets taken from an on...
Data are the medium through which individuals' identities and experiences are filtered in contemporary states and systems, and AI is increasingly the layer mediating between people, data, and decisions. The history of data and AI is often one of disa...
Synthetic data offers the promise of cheap and bountiful training data for settings where labeled real-world data is scarce. However, models trained on synthetic data significantly underperform when evaluated on real-world data. In this paper, we pro...
In this period of COVID-19, I unlock access to my personal library of Data Science resources to anyone who is in the process of carrying out an academic project, whether at the end of their studies or those doing research. Furthermore it's also designed to hel…