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1Compilers: Principles, Techniques, and Tools (Dragon Book)
https://suif.stanford.edu/dragonbook/
3 years ago by @jaeschke
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book
compiler
computer
dragon
parser
programming
science
bookcompilercomputerdragonparserprogrammingscience
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3Network Science by Albert-László Barabási
http://networksciencebook.com/
3 years ago by @jaeschke
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analysis
book
network
science
sna
social
analysisbooknetworksciencesnasocial
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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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algorithm
computer
cs
data
ddm
mk3.3
science
structure
algorithmcomputercsdataddmmk3.3sciencestructure
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1iSchools, Inc. - Discipline of Organizing
https://www.ischools.org/discipline-of-organizing
6 years ago by @jaeschke
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information
organising
organizing
science
bookinformationorganisingorganizingscience
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1Algorithm Archive · GitBook
https://www.algorithm-archive.org/
6 years ago by @jaeschke
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algorithm
archive
computer
cs
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algorithmarchivecomputercsscience
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1 "Open Data Excuse" Bingo
"Open Data Excuse" Bingo We might want to use it in a paper People may misinterpret the data Thieves will use it There's no API I don't mind, but someone else might Lawyers want a custom License It's too complicated We will get too many enquiries It's too big Terrorists will use it Poor Quality There's already a project to... What if we want to sell it later It's not very interesting Data Protection We'll get spam For open data teams; print out a copy and put it on your office wall. Cross out each excuse people give you. There are no prizes, but you can tweet "bingo! #openDataExcuses" if you think it might make you feel better Generate your own bingo grids at http://data.dev8d.org/devbingo/
6 years ago by @jaeschke
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bingo
fun
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1Wissenschaft als Methode: Die Universität muss lehren, was noch keiner kennt - Forschung & Lehre
In der Forderung nach guter Lehre an Universitäten sind sich alle einig. Doch was ist gute Lehre und was bedeutet Lernen in der heutigen Zeit?
6 years ago by @jaeschke
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lehre
phd
research
science
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wissenschaft
forschunglehrephdresearchscienceteachingwissenschaft
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1Impact of Social Sciences – New media, familiar dynamics: academic hierarchies influence academics’ following behaviour on Twitter
For what reasons do academics follow one another on Twitter? Robert Jäschke, Stephanie B. Linek and Christian P. Hoffmann analysed the Twitter activity of computer scientists and found that while the quality of information provided by a Twitter account is a key motive for following academic colleagues, there is also evidence of a career planning motive. As well as there being reciprocal following between users of the same academic status (except, remarkably, between PhD researchers), a form of strategic politeness can be observed whereby users follow those of higher academic status without necessarily being followed back. The emerging academic public sphere facilitated by Twitter is largely shaped by dynamics and hierarchies all too familiar to researchers struggling to plot their careers in academia.
8 years ago by @jaeschke
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2017
myown
open
reciprocity
research
science
science2.0
twitter
2017myownopenreciprocityresearchsciencescience2.0twitter
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1AI Impacts – Global computing capacity
http://aiimpacts.org/global-computing-capacity/
9 years ago by @jaeschke
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computer
computing
flops
mips
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computercomputingflopsmipspowerscience
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1All these papers were deliberately bad
“All these papers were deliberately bad. They were created with the purpose of exposing exploitative publishing practices. That is, the works collected here were sting operations on predatory journals.” So says the introduction to the book Stinging the Predators: A collection of papers that should never have been published, assembled by Zen Faulkes.
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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dataset
graph
linked
lod
nature
open
science
scigraph
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1Handbuch Open Science – Wikibooks, Sammlung freier Lehr-, Sach- und Fachbücher
https://de.wikibooks.org/wiki/Handbuch_Open_Science
10 years ago by @jaeschke
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handbuchopensciencewikibooks
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1Research in Progress
http://researchinprogress.tumblr.com/
10 years ago by @jaeschke
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fun
photo
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science
tumblr
funphotoresearchsciencetumblr
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7ScienceOpen
https://www.scienceopen.com/
10 years ago by @jaeschke
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1Contents of English Communication for Scientists | Learn Science at Scitable
http://www.nature.com/scitable/ebooks/english-communication-for-scientists-14053993/126083980
10 years ago by @jaeschke
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communication
paper
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writing
communicationpaperphdresearchsciencewriting
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1Science-Fiction: Hundert Jahre Übermorgen
Im Januar 1916 sah ein Prophet namens Hugo Gernsback sehr genau eine Literatur voraus, die nie von gestern ist: Science-Fiction.
10 years ago by @jaeschke
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fiction
science
sf
fictionsciencesf
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4Spurious Correlations
http://tylervigen.com/spurious-correlations
10 years ago by @jaeschke
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correlation
fun
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science
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correlationfunresearchsciencestatistics
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2How to write a good PhD thesis and survive the viva
http://people.kmi.open.ac.uk/stefan/thesis-writing.pdf
10 years ago by @jaeschke
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computer
cs
phd
science
thesis
computercsphdsciencethesis
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4Best paper awards at AAAI, ACL, CHI, CIKM, CVPR, FOCS, FSE, ICCV, ICML, ICSE, IJCAI, INFOCOM, KDD, MOBICOM, NSDI, OSDI, PLDI, PODS, S&P, SIGCOMM, SIGIR, SIGMETRICS, SIGMOD, SODA, SOSP, STOC, UIST, VLDB, WWW
Best paper awards (since 1996) for top-tier computer science conferences: AAAI, ACL, CHI, CIKM, CVPR, FOCS, FSE, ICCV, ICML, ICSE, IJCAI, INFOCOM, KDD, MOBICOM, NSDI, OSDI, PLDI, PODS, S&P, SIGCOMM, SIGIR, SIGMETRICS, SIGMOD, SODA, SOSP, STOC, UIST, VLDB, WWW.
10 years ago by @jaeschke
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award
best
computer
dataset
paper
science
awardbestcomputerdatasetpaperscience
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12200 Computer Science Professors in 50 top US Graduate Programs
http://cs.brown.edu/people/alexpap/faculty_dataset.html
10 years ago by @jaeschke
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computer
dataset
faculty
professor
science
university
usa
computerdatasetfacultyprofessorscienceuniversityusa
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1Science Fiction in der deutschsprachigen Literatur
H. Friedrich. Max Niemeyer Verlag, Berlin, Boston, (1995)
8 months ago by @jaeschke
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book
deutsch
fiction
german
heftroman
literatur
literature
science
sf
bookdeutschfictiongermanheftromanliteraturliteraturesciencesf
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1Big data: the end of the scientific method?
S. Succi, and P. Coveney. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 377 (2142): 20180145 (2019)
12 months ago by @jaeschke
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bigdata
research
science
bigdataresearchscience
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1The structure of scientific revolutions
T. Kuhn. University of Chicago Press, Chicago, (1997)
a year ago by @jaeschke
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book
philosophy
science
bookphilosophyscience
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1Skriptum Informatik – eine konventionelle Einführung
H. Appelrath, and J. Ludewig. B.G. Teubner, Stuttgart, 5. Auflage edition, (2000)
2 years ago by @jaeschke
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book
computer
informatik
introduction
science
bookcomputerinformatikintroductionscience
(0)
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1Opinion paper: thoughts and facts on bibliometric indicators
W. Glänzel, and H. Moed. Scientometrics, 96 (1): 381--394 (Jul 1, 2013)
2 years ago by @jaeschke
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bibliometrics
evaluation
indicator
research
science
scientometrics
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bibliometricsevaluationindicatorresearchsciencescientometricsstatistics
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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
(0)
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2Computer Systems: A Programmer's Perspective
R. Bryant, and D. O'Hallaron. Pearson, 2nd edition, (2011)
2 years ago by @jaeschke
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book
computer
cpu
cs
programming
science
bookcomputercpucsprogrammingscience
(0)
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1Rebuttal How-To: Strategies, Tactics, and the Big Picture in Research
D. Yao. Commun. ACM, 67 (1): 47–49 (Dec 21, 2023)
2 years ago by @jaeschke
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phd
rebuttal
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phdrebuttalresearchreviewsciencewriting
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2Abstractions, their algorithms, and their compilers
A. Aho, and J. Ullman. Communications of the ACM, 65 (2): 76--91 (January 2022)
3 years ago by @jaeschke
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abstraction
algorithm
compiler
computer
cs
language
lecture
parser
programming
science
turing
abstractionalgorithmcompilercomputercslanguagelectureparserprogrammingscienceturing
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1Compilers: Principles, Techniques, and Tools
A. Aho, M. Lam, R. Sethi, and J. Ullman. Pearson Education, Inc, 2nd edition, (2006)
3 years ago by @jaeschke
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book
compiler
computer
cs
dragon
parser
science
bookcompilercomputercsdragonparserscience
(0)
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2Analyzing the Web: Are Top Websites Lists a Good Choice for Research?
T. Alby, and R. Jäschke. Proceedings of the International Conference on Theory and Practice of Digital Libraries, page 11--25. Cham, Springer, (2022)
4 years ago by @jaeschke
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2022
alexa
archive
commoncrawl
crawl
myown
research
science
tpdl
web
2022alexaarchivecommoncrawlcrawlmyownresearchsciencetpdlweb
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1Vision and natural language for metadata extraction from scientific PDF documents
Z. Boukhers, and A. Bouabdallah. Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, ACM, (June 2022)
4 years ago by @jaeschke
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citation
extraction
metadata
nlp
pdf
research
science
social
unknowndata
citationextractionmetadatanlppdfresearchsciencesocialunknowndata
(0)
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1Towards a Reference Model for Scientific Visualization Systems
W. Felger, M. Frühauf, M. Göbel, R. Gnatz, and G. Hofmann. Visualization in Scientific Computing, page 63--74. Berlin, Heidelberg, Springer, (1994)
4 years ago by @jaeschke
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ddm
mk5.4
model
reference
research
science
visualization
ddmmk5.4modelreferenceresearchsciencevisualization
(0)
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6Googleology is Bad Science
A. Kilgarriff. Computational Linguistics, 33 (1): 147--151 (March 2007)
4 years ago by @jaeschke
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google
science
web
googlescienceweb
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2Developing Open Source Educational Resources for Machine Learning and Data Science
L. Bothmann, S. Strickroth, G. Casalicchio, D. Rügamer, M. Lindauer, F. Scheipl, and B. Bischl. (2021)cite arxiv:2107.14330Comment: 6 pages.
4 years ago by @jaeschke
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aiskills
data
learning
machine
ml
oer
science
aiskillsdatalearningmachinemloerscience
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1New media, familiar dynamics: academic hierarchies influence academics' following behaviour on Twitter
R. Jäschke, S. Linek, and C. Hoffmann. (October 2017)
4 years ago by @jaeschke
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academic
analysis
blog
follower
myown
network
research
science
sna
social
twitter
academicanalysisblogfollowermyownnetworkresearchsciencesnasocialtwitter
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1Machine learning as an experimental science (revisited)
C. Drummond. In AAAI Workshop on Evaluation Methods for Machine Learning, page 1--5. (2006)
5 years ago by @jaeschke
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evaluation
experiment
learning
machine
ml
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evaluationexperimentlearningmachinemlresearchscience
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2The fourth paradigm: data-intensive scientific discovery
A. Hey, S. Tansley, and K. Tolle (Eds.) Microsoft research Redmond, WA, (October 2009)
5 years ago by @jaeschke
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datascience
ddm
discovery
mk5.4
research
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datascienceddmdiscoverymk5.4researchscience
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2Computer Science: An Overview
J. Brookshear, and D. Brylow. Pearson Education, 12 Edition edition, (2015)
6 years ago by @jaeschke
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computer
cs
ddm
introduction
mk3.3
overview
science
computercsddmintroductionmk3.3overviewscience
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3Mathematical Writing
D. Knuth, T. Larrabee, and P. Roberts. (1987)
6 years ago by @jaeschke
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math
phd
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writing
mathphdresearchsciencewriting
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