BibSonomy bookmarks for /user/hotho/mining

Neue Tools sollen Qualität von Online-Texten analysieren | iX

hotho — 2017-01-19T17:29:44+01:00

https://www.heise.de/ix/meldung/Neue-Tools-sollen-Qualitaet-von-Online-Texten-analysieren-3582332.html#mobile_detect_force_desktop

SpiegelMining: Think big. Die Artikellandschaft der letzten zwei Jahre zum selberforschen [D. Kriesel]

hotho — 2016-10-30T13:19:20+01:00

http://www.dkriesel.com/blog/2016/1028_spiegelmining_think_big._die_artikellandschaft_der_letzten_zwei_jahre_zum_selberforschen#the__comments

ACL Anthology » W16

hotho — 2016-09-29T13:54:48+02:00

http://aclweb.org/anthology/W/W16/#2800

PhD Position: Argumentation Mining with Deep Learning and Random Forest | Ashwin Ittoo | Pulse | LinkedIn

hotho — 2016-09-18T12:55:59+02:00

Argumentation Mining with Deep Learning and Random Forest

Twitter Analytical Tools | Centre for Social Technologies

hotho — 2015-11-16T09:38:59+01:00

Some of the tools listed below are discussed in detail in the "Seven Layers of Social Media Analytics" book. Applications (no programming skills required) DiscoverText: http://www.screencast.com/t/VKLqaekPz Demographics Pro: http://www.demographicspro.com/ NodeXL: https://nodexl.codeplex.com/ Twitonomy: http://www.twitonomy.com/ RapidMiner: http://docs.rapidminer.com/studio/how-to/cloud-connectivity/twitter.html KPI6: https://www.kpi6.com/ Talend: http://www.datalytyx.com/twitter-sentiment-analysis-using-talend/ KNIME: https://www.knime.org/blog/knime-twitter-nodes Pentaho: http://www.patlaf.com/query-twitter-api-with-pentaho-pdi-kettle/ iScience Maps: http://maps.iscience.deusto.es/ Nexalogy: https://nexalogy.com/ Tools/Scripts/Modules (require programming skills) Twarc: https://github.com/edsu/twarc Twitter for…

icml2015-nlu-tutorial.pdf

hotho — 2015-11-05T12:41:42+01:00

http://icml.cc/2015/tutorials/icml2015-nlu-tutorial.pdf

Mining Massive Datasets - Stanford University | Coursera

hotho — 2015-09-15T14:10:45+02:00

Take free online classes from 120+ top universities and educational organizations. We partner with schools like Stanford, Yale, Princeton, and others to offer courses in dozens of topics, from computer science to teaching and beyond. Whether you are pursuing a passion or looking to advance your career, Coursera provides open, free education for everyone.

DMNLP 2014 Worshop | Main / The DMNLP Workshop

hotho — 2014-10-29T12:09:16+01:00

http://dmnlp.loria.fr/

Microsoft Word - 2013_11_11_Text_and_Data_Mining_Declaration.doc - 2013_11_11_Text_and_Data_Mining_Declaration.pdf

hotho — 2013-11-27T08:54:41+01:00

http://www.stm-assoc.org/2013_11_11_Text_and_Data_Mining_Declaration.pdf

Web Search and Data Mining (WSDM) 2012

hotho — 2013-02-26T14:01:01+01:00

http://wsdm2012.org/

3rd International Workshop on Mining Ubiquitous and Social Environments - @ ECML/PKDD 2012

hotho — 2012-04-18T14:42:43+02:00

http://www.kde.cs.uni-kassel.de/ws/muse2012/

Home

hotho — 2012-04-05T17:21:41+02:00

http://wsdm2013.org/

MIT Media Lab: Reality Mining

hotho — 2011-09-30T08:49:38+02:00

http://reality.media.mit.edu/

Mining Billion-node Graphs: Patterns and Tools

hotho — 2011-06-22T10:38:14+02:00

http://www.cs.cmu.edu/~christos/TALKS/11-LinkedIn/FOILS/faloutsos_linkedin_2011.pdf

2nd International Workshop on Mining Ubiquitous and Social Environments - @ ECML/PKDD 2011

hotho — 2011-05-24T09:47:28+02:00

http://www.kde.cs.uni-kassel.de/ws/muse2011/

TunedIT - Data mining & machine learning data sets, algorithms, challenges

hotho — 2011-05-18T13:11:07+02:00

Platform for sharing and evaluation of intelligent algorithms. Data mining data, experiments, datasets, performance analysis, data repository, challenges. Research and applications, prediction. Data mining and machine learning

KDD 2011: 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

hotho — 2011-05-02T19:30:36+02:00

http://www.sigkdd.org/kdd2011/

CIKM 2011

hotho — 2011-04-25T12:21:15+02:00

http://www.cikm2011.org/

ECML-PKDD 2011 in Athens, Greece

hotho — 2011-03-16T14:28:38+01:00

http://www.ecmlpkdd2011.org/

Mining of Massive Datasets

hotho — 2011-01-24T11:10:59+01:00

http://i.stanford.edu/~ullman/mmds.html