evka89/Elements.data-Editor-C-
elemtns.data editor for Jade Dynasty and Perfect world C#.NET (⭐ 3)
elemtns.data editor for Jade Dynasty and Perfect world C#.NET (⭐ 3)
Cell phone technology generates massive amounts of data. Although this data has been gathered for billing and logging purposes, today it has a much higher value, because its volume makes it very useful for big data analyses. In this project, we analy...
In this paper, we provide a technical vision for key enabling elements for the architecture of the UK National Data Library (NDL) with a strong focus on building it as an AI-ready data infrastructure through standardised vocabularies, automated analy...
The emergence of breakthrough artificial intelligence (AI) techniques has led to a renewed focus on how small data settings, i.e., settings with limited information, can benefit from such developments. This includes societal issues such as how best t...
Remote sensing vision tasks require extensive labeled data across multiple, interconnected domains. However, current generative data augmentation frameworks are task-isolated, i.e., each vision task requires training an independent generative model,...
In this paper we use H II starburst galaxy apparent magnitude versus redshift data from Siegel et al. (2005) to constrain dark energy cosmological model parameters. These constraints are generally consistent with those derived using other data sets,...
QUERY(A2:E6,F2,FALSE) Syntax QUERY(data, query, [headers]) data - The range of cells to perform the query on. Each column of data can only hold boolean, numeric (including date/time types) or …
Newcastle Libraries open data (⭐ 14)
Working with and analyzing Wikipedia Data (⭐ 697)
In this article, we consider the problem of clustering multi-view data, that is, information associated to individuals that form heterogeneous data sources (the views). We adopt a Bayesian model and in the prior structure we assume that each individu...
Recently, Bautista (1996, A&AS, 119, 105) reported new calculations of photoionization cross sections for Fe V, and compared them with the earlier results of Reilman & Manson (1979, ApJS, 40, 815) and Verner et al. (1993, Atomic Data Nucl. Data Tab...
Feature selection, which searches for the most representative features in observed data, is critical for health data analysis. Unlike feature extraction, such as PCA and autoencoder based methods, feature selection preserves interpretability, meaning...
The use of data assimilation technique to identify optimal topography is discussed in frames of time-dependent motion governed by non-linear barotropic ocean model. Assimilation of artificially generated data allows to measure the influence of vari...
The rapidly growing field of network analytics requires data sets for use in evaluation. Real world data often lack truth and simulated data lack narrative fidelity or statistical generality. This paper presents a novel, mixed-membership, agentbased...
Database Trends and Applications is a magazine covering data and information management, big data, and data science. In addition, our website, dbta.com, connects visitors with white papers, webinars, and other learning opportunities in the field
Media » Database Trends and Applications Database Trends and Applications is the leading publication and website dedicated to all aspects of data and information management, big data, and data science. Our website connects visitors with articles, thought leade…
Caden is the world's first Open Data platform. Download the Caden app to be in control of and make money from your personal data.
6 days ago · Data Analyst Devin (Dana) Dana, which is a version of Devin optimized for data analysis tasks, is now available for all users. To use Dana, simply connect a data source via MCP then start …
Mar 8, 2020 · Due to increasing student demand and the use of data analysis in different fields, CMC plans to implement a new data science major by the fall of 2020 or 2021. The faculty committee will …
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures. (⭐ 954)