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2MotherDuck: Big Data is Dead
Big data is dead. Long live easy data.
3 years ago by @jaeschke
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2Archive Team: The Twitter Stream Grab : Free Web : Free Download, Borrow and Streaming : Internet Archive
https://archive.org/details/twitterstream
3 years ago by @jaeschke
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stream
twitter
archivedatadatasetsamplestreamtwitter
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5OpenAlex: The open catalog to the global research system
https://openalex.org/
3 years ago by @jaeschke
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1Veracity of schema.org for datasets (labeled data) | Kaggle
Dataset or Not? A study on the veracity of semantic markup for dataset pages.
4 years ago by @jaeschke
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google
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datadatasetgooglekaggleresearchschema.orgunknowndata
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1Dataset Search: metadata for datasets | Kaggle
Datasets with DOIs and compact identifiers
4 years ago by @jaeschke
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google
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unknowndata
datadatasetdoigooglekaggleresearchsearchunknowndata
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1TLC Trip Record Data - TLC
https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page
4 years ago by @jaeschke
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ny
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taxi
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1Fundamentals of Data Visualization
A guide to making visualizations that accurately reflect the data, tell a story, and look professional.
5 years ago by @jaeschke
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1Data Structures and Algorithms: When To Use What? | theGarbageCollector
http://dtkachenko.blogspot.com/2011/11/data-structures-and-algorithms-when-to.html
5 years ago by @jaeschke
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1Wayback Machine: A Practical Introduction to DataStructures and Algorithm Analysis
https://web.archive.org/web/20180403090554/http://home.deib.polimi.it/morzenti/Info3/notes.pdf
5 years ago by @jaeschke
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1Choosing Data Structures: A guide for the confused | by Marcin Tustin | Build and Learn | Medium
This past friday I was teaching a workshop at Coalition for Queens to prepare alumni from their code school for interviews as software developers. One asked about resources for learning how to choose…
5 years ago by @jaeschke
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1TweetsKB - A Public and Large-Scale RDF Corpus of Annotated Tweets
https://data.gesis.org/tweetskb/
6 years ago by @jaeschke
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lod
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1Digitales Datenmanagement (DDM) | Weiterbildender, berufsbegleitender Masterstudiengang von Fachhochschule Potsdam und Humboldt-Universität zu Berlin
http://www.ddm-master.de/
7 years ago by @jaeschke
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2The New York Times Annotated Corpus - Linguistic Data Consortium
The New York Times Annotated Corpus contains over 1.8 million articles written and published by the New York Times between January...
7 years ago by @jaeschke
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3RDMO
https://rdmorganiser.github.io/
8 years ago by @jaeschke
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1MARC Distribution Services (data set): Cataloging Distribution Service, Library of Congress
https://www.loc.gov/cds/products/marcDist.php
9 years ago by @jaeschke
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1Springer Nature SciGraph
Springer Nature SciGraph, the new Linked Open Data platform aggregating data sources from Springer Nature and key partners from the scholarly domain.
9 years ago by @jaeschke
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graph
linked
lod
nature
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1Time-Aware Entity Recommendation
Annotated Web documents
9 years ago by @jaeschke
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corpusdatadatasetnewsnewspaper
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1Applying blockchain technology in global data infrastructure | Open Data Institute
http://theodi.org/technical-report-blockchain-technology-in-global-data-infrastructure
9 years ago by @jaeschke
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1UB Mannheim - DFG Project „Linked Open Citation Database (LOC-DB)“
https://www.bib.uni-mannheim.de/1472.html?&L=1
9 years ago by @jaeschke
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bibliometrics
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lod
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1WikiCite - Meta
https://meta.wikimedia.org/wiki/WikiCite
9 years ago by @jaeschke
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bibliographic
bibliometrics
citation
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wiki
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bibliographicbibliometricscitationdatadatasetscientometricswikiwikicitewikidatawikipedia
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1Abgeleitete Textformate: Text und Data Mining mit urheberrechtlich geschützten Textbeständen
C. Schöch, F. Döhl, A. Rettinger, E. Gius, P. Trilcke, P. Leinen, F. Jannidis, M. Hinzmann, and J. Röpke. Zeitschrift für digitale Geisteswissenschaften, (2020)
8 months ago by @jaeschke
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copyright
corpus
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derived
dh
format
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text
copyrightcorpusdataderiveddhformatminingtext
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1Making Mathematical Research Data FAIR: A Technology Overview
T. Conrad, E. Ferrer, D. Mietchen, L. Pusch, J. Stegmuller, and M. Schubotz. (2023)
11 months ago by @jaeschke
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data
math
repository
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datamathrepositoryresearch
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1The curse(s) of dimensionality
N. Altman, and M. Krzywinski. Nature Methods, 15 (6): 399--400 (Jun 1, 2018)
a year ago by @jaeschke
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bigdata
curse
data
dimension
dimensionality
statistics
bigdatacursedatadimensiondimensionalitystatistics
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2LLMs’ Data-Control Path Insecurity
B. Schneier. Commun. ACM, 67 (9): 31–32 (Aug 26, 2024)
a year ago by @jaeschke
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ai
artificial
control
data
intelligence
language
large
learning
llm
machine
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path
security
aiartificialcontroldataintelligencelanguagelargelearningllmmachinemodelpathsecurity
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1Data Profiling
Z. Abedjan, L. Golab, F. Naumann, and T. Papenbrock. Springer International Publishing, (2019)
a year ago by @jaeschke
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profiling
bookdataprofiling
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2Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study
R. Ruddle, J. Cheshire, and S. Fernstad. IEEE Transactions on Visualization and Computer Graphics, 30 (7): 3400-3412 (July 2024)
a year ago by @jaeschke
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visualization
dataprofilingsurveyvisualization
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1Data Profiling
Z. Abedjan. page 1–6. Springer International Publishing, (2022)
a year ago by @jaeschke
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profiling
dataprofiling
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4A Repository for Formal Contexts
T. Hanika, and R. Jäschke. Conceptual Knowledge Structures, 14914, page 182--197. Cham, Springer Nature Switzerland, (2024)
a year ago by @jaeschke
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2024
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2024analysisconceptdatadatasetfcaformalmyownrepositoryresearch
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1Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments
K. Börner, A. Bueckle, and M. Ginda. Proceedings of the National Academy of Sciences, 116 (6): 1857--1864 (2019)
2 years ago by @jaeschke
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assessment
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framework
information
literacy
teaching
visualization
assessmentdataframeworkinformationliteracyteachingvisualization
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1Python Data Science Handbook
J. VanderPlas. O'Reilly Media, Inc., (2016)
2 years ago by @jaeschke
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book
daa_botw
data
handbook
python
science
bookdaa_botwdatahandbookpythonscience
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1Blocking and Filtering Techniques for Entity Resolution
G. Papadakis, D. Skoutas, E. Thanos, and T. Palpanas. ACM Computing Surveys, 53 (2): 1--42 (March 2020)
2 years ago by @jaeschke
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blocking
data
entity
filtering
graph
knowledge
linked
ner
open
resolution
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web
blockingdataentityfilteringgraphknowledgelinkedneropenresolutionsemanticweb
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2Construction of Knowledge Graphs: State and Challenges
M. Hofer, D. Obraczka, A. Saeedi, H. Köpcke, and E. Rahm. (2023)cite arxiv:2302.11509Comment: 43 pages, 5 figures, 3 tables.
2 years ago by @jaeschke
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graph
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lod
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1Data Dependencies Extended for Variety and Veracity: A Family Tree
S. Song, F. Gao, R. Huang, and C. Wang. IEEE Transactions on Knowledge and Data Engineering, 34 (10): 4717-4736 (October 2022)
2 years ago by @jaeschke
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1Relaxed Functional Dependencies—A Survey of Approaches
L. Caruccio, V. Deufemia, and G. Polese. IEEE Transactions on Knowledge and Data Engineering, 28 (1): 147-165 (January 2016)
2 years ago by @jaeschke
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3Principles of Data Integration
A. Doan, A. Halevy, and Z. Ives. Morgan Kaufmann, (2012)
2 years ago by @jaeschke
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integration
bookdataintegration
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4Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
P. Villalobos, J. Sevilla, L. Heim, T. Besiroglu, M. Hobbhahn, and A. Ho. (2022)cite arxiv:2211.04325.
3 years ago by @jaeschke
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1Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report
C. Ridsdale, J. Rothwell, M. Smit, H. Ali-Hassan, M. Bliemel, D. Irvine, D. Kelley, S. Matwin, and B. Wuetherick. (2015)
3 years ago by @jaeschke
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competence
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ridsdale
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3Variation across Scales: Measurement Fidelity under Twitter Data Sampling
S. Wu, M. Rizoiu, and L. Xie. 14, page 715--725. Association for the Advancement of Artificial Intelligence, (May 2020)
3 years ago by @jaeschke
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1Die Kunst der Statistik: Was uns Daten wirklich sagen und wie wir dies im Alltag nutzen können
D. Spiegelhalter. Redline Verlag, (2020)
3 years ago by @jaeschke
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daa_botw
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1Snorkel: rapid training data creation with weak supervision
A. Ratner, S. Bach, H. Ehrenberg, J. Fries, S. Wu, and C. Ré. The VLDB Journal, 29 (2): 709--730 (May 1, 2020)
3 years ago by @jaeschke
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