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3Streamlit
https://streamlit.io/
3 years ago by @nosebrain
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1Snorkel
https://www.snorkel.org/
3 years ago by @nosebrain
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3Stack Exchange Data Dump : Stack Exchange, Inc. : Free Download, Borrow, and Streaming : Internet Archive
https://archive.org/details/stackexchange
3 years ago by @nosebrain
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data
download
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1UK Biobank
Improving the Health of Future Generations
4 years ago by @nosebrain
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biobank
data
genetic
health
heart
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proposal:dzhi
biobankdatagenetichealthheartimageproposal:dzhi
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2Zeppelin
https://zeppelin.apache.org/
4 years ago by @nosebrain
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zeppelin
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2RecSys Challenge 2015 - Challenge
http://2015.recsyschallenge.com/challenge.html
7 years ago by @nosebrain
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2015challengeclickdatarechtsrecsys
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2Amazon review data
http://jmcauley.ucsd.edu/data/amazon/
7 years ago by @nosebrain
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1Pornhub Insights :: Digging deep into the data
Get the latest stats and data trends from pornhub insights! Offering you an inside look of the data behind porn’s biggest site.
8 years ago by @nosebrain
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1Wo die Feinstaub-Belastung in Berlin am höchsten ist - Berlin - Aktuelle Nachrichten - Berliner Morgenpost
Aktuelle Nachrichten & News aus Berlin. Informationen rund um die Berliner Bezirke und die Region: Aktuelle Veranstaltungen, Meinungsbilder und Berichte.
8 years ago by @nosebrain
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2Structured Data Testing Tool | Google Developers
Test your structured data markup.
8 years ago by @nosebrain
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1Elasticsearch: data migration
https://nerdydev.net/databases/elasticsearch/Elasticsearch-data-migration/
8 years ago by @nosebrain
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migration
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2Graylog | Open Source Log Management
Graylog is the leading open source log management platform. Use Graylog to collect, index, and analyze log data from almost any source.
8 years ago by @nosebrain
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1miguno/wirbelsturm · GitHub
wirbelsturm - Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data related infrastructure.
8 years ago by @nosebrain
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big
data
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puppet
storm
vagrant
wirbelsturm
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1pepibumur/SugarRecord - Swift - GitHub
SugarRecord - Data persistence management library written in Swift 2.0
8 years ago by @nosebrain
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framework
ios
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1FEST - Random Forests (and friends) for sparse data
http://lowrank.net/nikos/fest/
9 years ago by @nosebrain
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1How to recover MySQL data from Innodb?
Unfortunately some times you need to recover MySQL data from ibdata1. It’s many reasons why your getting corrupted Innodb files that cannot automatically be restored of the mysqld daemon.
9 years ago by @nosebrain
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1Zeitungssterben
Wie schnell sterben die deutschen Zeitungen? Wir vergleichen die IVW-Auflagendaten seit 2001 – und sind vom Ergebnis überrascht: während manche ums Überleben bangen, verdoppeln andere ihre Auflage.
9 years ago by @nosebrain
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datademisegermannewspaperopen
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3A Programmer's Guide to Data Mining | The Ancient Art of the Numerati
http://guidetodatamining.com/
10 years ago by @nosebrain
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guide
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online
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1Presto | Distributed SQL Query Engine for Big Data
http://prestodb.io/
10 years ago by @nosebrain
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1Home - Apache Flume - Apache Software Foundation
https://cwiki.apache.org/confluence/display/FLUME/Home%3bjsessionid=DA1CD32EA77F58CB266AFED8BEA92707
10 years ago by @nosebrain
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apache
collection
data
distributed
flume
hdfs
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publications (hide)27
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4Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge
E. Fischer, D. Zoller, and A. Hotho. SIGIR Workshop On eCommerce (Jul 15, 2021)
2 years ago by @nosebrain
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Coveo
challenge
comparison
data
myown
product
recommendation
transformer
Coveochallengecomparisondatamyownproductrecommendationtransformer
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1Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
A. Beam, B. Kompa, A. Schmaltz, I. Fried, G. Weber, N. Palmer, X. Shi, T. Cai, and I. Kohane. (2018)cite arxiv:1804.01486.
4 years ago by @nosebrain
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clinic
data
embeddings
medical
multimodal
clinicdataembeddingsmedicalmultimodal
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2CancerMine: a literature-mined resource for drivers, oncogenes and tumor suppressors in cancer
J. Lever, E. Zhao, J. Grewal, M. Jones, and S. Jones. Nature Methods 16 (6): 505--507 (2019)
5 years ago by @nosebrain
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cancer
cancermine
data
mining
proposal:bmbf2019
cancercancerminedataminingproposal:bmbf2019
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4A disease diagnosis and treatment recommendation system based on big data mining and cloud computing.
J. Chen, K. Li, H. Rong, K. Bilal, N. Yang, and K. Li. Information Sciences (2018)
5 years ago by @nosebrain
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cloud
computing
data
diagnosis
mining
recommendation
system
treatment
cloudcomputingdatadiagnosisminingrecommendationsystemtreatment
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5Data Science and its Relationship to Big Data and Data-Driven Decision Making
F. Provost, and T. Fawcett. Big Data 1 (1): 51--59 (March 2013)
6 years ago by @nosebrain
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data
lecture:2018
lecture:data-mining
science
datalecture:2018lecture:data-miningscience
(0)
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8Data Science and Prediction
V. Dhar. Commun. ACM 56 (12): 64--73 (December 2013)
6 years ago by @nosebrain
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data
lecture:2018
lecture:data-mining
science
datalecture:2018lecture:data-miningscience
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7Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
B. Hidasi, M. Quadrana, A. Karatzoglou, and D. Tikk. Proceedings of the 10th ACM Conference on Recommender Systems , page 241--248. New York, NY, USA, ACM, (2016)
7 years ago by @nosebrain
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data
dmir:retreat:2017
image
item
parallel
recommendation
rnn
session
text
cnndatadmir:retreat:2017imageitemparallelrecommendationrnnsessiontext
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13Visualizing Data using t-SNE
L. van der Maaten, and G. Hinton. Journal of Machine Learning Research (2008)
7 years ago by @nosebrain
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data
t-sne
visualization
datat-snevisualization
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13Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Proceedings of the ACM SIGMOD Int'l Conference on Management of Data, Seattle, Washington , page 94--105. ACM Press, (June 1998)
8 years ago by @nosebrain
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clique
clustering
data
dimensional
high
lecture:2014
lecture:2016
lecture:data-mining
subspace
cliqueclusteringdatadimensionalhighlecture:2014lecture:2016lecture:data-miningsubspace
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10Subspace Clustering for High Dimensional Data: A Review.
L. Parsons, E. Haque, and H. Liu. SIGKDD Explorations 6 (1): 90-105 (2004)
8 years ago by @nosebrain
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clustering
data
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high
lecture:2016
lecture:data-mining
review
subspace
clusteringdatadimensionalhighlecture:2016lecture:data-miningreviewsubspace
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7Interestingness measures for data mining: A survey
L. Geng, and H. Hamilton. ACM Comput. Surv. 38 (3): 9 (2006)
8 years ago by @nosebrain
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data
interestingness
lecture:2016
lecture:data-mining
measure
mining
survey
datainterestingnesslecture:2016lecture:data-miningmeasureminingsurvey
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21From data mining to knowledge discovery in databases
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. AI magazine 17 (3): 37 (1996)
8 years ago by @nosebrain
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data
database
discovery
knowledge
mining
datadatabasediscoveryknowledgemining
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17From Data Mining to Knowledge Discovery: An Overview.
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. Advances in Knowledge Discovery and Data Mining , (1996)
8 years ago by @nosebrain
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data
definition
kdd
lecture:2016
lecture:data-mining
mining
datadefinitionkddlecture:2016lecture:data-miningmining
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2From local patterns to global models: The lego approach to data mining
A. Knobbe, B. Crémilleux, J. Fürnkranz, and M. Scholz. From local patterns to global models: proceedings of the ECML PKDD 2008 Workshop , page 1--16. Citeseer, (2008)
9 years ago by @nosebrain
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data
global
lecture:2015
lecture:data-mining
lego
local
mining
pattern
datagloballecture:2015lecture:data-mininglegolocalminingpattern
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19Advances in Knowledge Discovery and Data Mining
U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.). . (1996)
9 years ago by @nosebrain
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advances
data
discovery
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lecture:2015
lecture:data-mining
lecture:essential
mining
advancesdatadiscoveryknowledgelecture:2015lecture:data-mininglecture:essentialmining
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6CRISP-DM 1.0 Step-by-step data mining guide
P. Chapman, J. Clinton, R. Kerber, T. Khabaza, T. Reinartz, C. Shearer, and R. Wirth. The CRISP-DM consortium, (August 2000)
9 years ago by @nosebrain
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crisp
data
dm
guide
lecture:2015
lecture:data-mining
mining
step
crispdatadmguidelecture:2015lecture:data-miningminingstep
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17Extracting semantic relations from query logs
R. Baeza-Yates, and A. Tiberi. KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , page 76--85. New York, NY, USA, ACM, (2007)
9 years ago by @nosebrain
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data
extraction
log
query
relation
semantic
dataextractionlogqueryrelationsemantic
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5Generating labels from clicks
R. Agrawal, A. Halverson, K. Kenthapadi, N. Mishra, and P. Tsaparas. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining , page 172--181. New York, NY, USA, ACM, (2009)
9 years ago by @nosebrain
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click
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generating
label
log
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1Druid A Real-time Analytical Data Store
F. Yang, E. Tschetter, X. Léauté, N. Ray, G. Merlino, and D. Ganguli. Spektrum der Wissenschaft (6): 64-71 (2013)mit Lit.-Hinweis.
9 years ago by @nosebrain
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analytical
data
druid
real
store
time
analyticaldatadruidrealstoretime
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4FlumeJava: easy, efficient data-parallel pipelines
C. Chambers, A. Raniwala, F. Perry, S. Adams, R. Henry, R. Bradshaw, and N. Weizenbaum. Proceedings of the 2010 ACM SIGPLAN conference on Programming language design and implementation , page 363--375. New York, NY, USA, ACM, (2010)
9 years ago by @nosebrain
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efficient
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