github.com/jgauffin/Griffin.Data
jgauffin/Griffin.Data
Data layer for both the read and write side of an .NET application (⭐ 70)
www.bing.com/ck/a?!&&p=008dca1ee0418c7621ef6af5fa1b5809fd9e2238fddf0735846610e8ceef5d4fJmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=3cd5cf2a-2b1a-625c-31f8-d83f2a1b632a&u=a1aHR0cHM6Ly9zdXBwb3J0Lmdvb2dsZS5jb20vZG9jcy9hbnN3ZXIvMzA5MzM0Mz9obD1lbg&ntb=1
QUERY function - Google Docs Editors Help
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 …
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Data Enrichment Tools for B2B: 2025 Comparison | Prospect ...
Feb 7, 2025 · What Is B2B Data Enrichment and Why It Matters B2B data enrichment is the process of appending additional information to your existing lead and account records. This includes …
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21 Best Data Enrichment Tools for B2B (+ Buying Guide)
Nov 25, 2025 · Learn the 12 best data enrichment tools for B2B. Find key features and pricing, and see why UpLead stands out for verified contact data.
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The 25 Best B2B Data Providers in 2026 (Ranked & Compared)
2 days ago · Discover the most accurate and effective B2B data providers in 2026. Compare 25 top sales intelligence platforms and lead generation databases — including pricing, data accuracy, direct …
arxiv.org/abs/1104.0126v1
U-Sem: Semantic Enrichment, User Modeling and Mining of Usage Data on the Social…
With the growing popularity of Social Web applications, more and more user data is published on the Web everyday. Our research focuses on investigating ways of mining data from such platforms that can be used for modeling users and for semantically a...
arxiv.org/abs/1204.2718v1
Leveraging Usage Data for Linked Data Movie Entity Summarization
Novel research in the field of Linked Data focuses on the problem of entity summarization. This field addresses the problem of ranking features according to their importance for the task of identifying a particular entity. Next to a more human friend...
github.com/anishsingh20/Analysing-US-Police-Violence-Fatalities
anishsingh20/Analysing-US-Police-Violence-Fatalities
This dataset pulls together data from several different sources related to police violence in the United States. The dataset currently includes these types of data: Police shootings Citizen fatalities involving police Police officer deaths suffered in the line…
github.com/renanmouraf/data-science-house-prices
renanmouraf/data-science-house-prices
Data Science Project: House Prices (⭐ 24)
github.com/amirrezaeian/Individual-household-electric-power-consumption-Data-Set-
amirrezaeian/Individual-household-electric-power-consumption-Data-Set-
Individual household electric-power consumption Data Set (LSTM) [tutorial] (⭐ 90)
github.com/g0v/tw-rental-house-data
g0v/tw-rental-house-data
Collection of Taiwan Rental House Data from Public Website (⭐ 166)
www.bing.com/ck/a?!&&p=90c5cc7944f7b1857d9be941045e2cf2842b9c884e3b62f1abaa237595fc8e2cJmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=3c5d736a-0703-65d3-1c23-647f06406414&u=a1aHR0cHM6Ly9zZW5kZXJzdXBwb3J0Lm9sYy5wcm90ZWN0aW9uLm91dGxvb2suY29tL3NuZHMvaW5kZXg&ntb=1
Smart Network Data Services - Outlook.com
4 days ago · Deliverability to Outlook.com is based on your reputation. The Outlook.com Smart Network Data Services (SNDS) gives you the data you need to understand and improve your reputation at …
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PowerPoint Presentation
Oct 2, 2019 · Encourage full meta data delivery with all data sets and to establish and promote the use standard descriptors to allow best data harvesting Include to the EOVs discussion issues such as …
arxiv.org/abs/2401.00965v1
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series fr…
Exploring generative model training for synthetic tabular data, specifically in sequential contexts such as credit card transaction data, presents significant challenges. This paper addresses these challenges, focusing on attaining both high fidelity...
arxiv.org/abs/2406.15126v1
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Within the evolving landscape of deep learning, the dilemma of data quantity and quality has been a long-standing problem. The recent advent of Large Language Models (LLMs) offers a data-centric solution to alleviate the limitations of real-world dat...
arxiv.org/abs/2210.05462v3
A Geometric Perspective on Bayesian and Generalized Fiducial Inference
Post-data statistical inference concerns making probability statements about model parameters conditional on observed data. When a priori knowledge about parameters is available, post-data inference can be conveniently made from Bayesian posteriors....
arxiv.org/abs/astro-ph/0605356v1
Statistical Analysis of Quasar Data and Hubble Law
The linearity of the Hubble relationship (i.e. between m and z) has been tested for galaxies and supernovea for low redshifts. We have studied this relationship for quasars for data taken from Veron Cetti Catalogue(2003).The data from Veron Cetti C...
arxiv.org/abs/0902.3868v2
Fast Bayesian Semiparametric Curve-Fitting and Clustering in Massive Data With A…
Recent technological advances have led to a flood of new data on cosmology rich in information about the formation and evolution of the universe, e.g., the data collected in Sloan Digital Sky Survey (SDSS) for more than 200 million objects. The ana...
github.com/cmahones03/Draymond-Green-Ejection-Data
cmahones03/Draymond-Green-Ejection-Data
A data frame of every career ejection by Draymond Green (of the Golden State Warriors) (⭐ 0)
arxiv.org/abs/2208.05484v2
Neural Embedding: Learning the Embedding of the Manifold of Physics Data
In this paper, we present a method of embedding physics data manifolds with metric structure into lower dimensional spaces with simpler metrics, such as Euclidean and Hyperbolic spaces. We then demonstrate that it can be a powerful step in the data a...