User:Manetta/meta-mining/PATTERN+: Difference between revisions
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[[File:Clips_patterns-scanner.jpg]] | |||
==info== | |||
Pattern+ is an annotated edition of the webmining module Pattern. The alpha-release of Pattern+ serves two interconnected goals: It is first of all an attempt to grow our understanding of - and concern with - the culture of data-mining, and then to feed this back into the practice of data-mining itself. It is also an experiment with forms of collaborative techno-critique that locate themselves closely to actual software objects. <small>(from: [http://relearn.be/2015/etherdump/training-common-sense-pattern-readme-plus.md.html #!PATTERN+.readme])</small> | |||
Contributors are Manetta Berends, Christina Colchoir, Frederic Janssens, Anne Laforet, My Lê, Femke Snelting, Kym Ward. | |||
==Relearn== | |||
Pattern+ is initiated as a project during the Relearn summerschool 2015 in Brussels, but is also a continuation of the introduction workshop to Pattern, given by from Guy De Pauw during Cqrrelations (Jan. 2015). | |||
===material from Relearn 2015=== | |||
[[User:Manetta/meta-mining/knowledge-discovery-in-data|* Knowledge Discovery in Data (KDD) steps]]<br> | |||
[[User:Manetta/meta-mining/data-mining-culture|* data mining culture]]<br> | |||
===other resources=== | |||
[http://pad.constantvzw.org/p/commonsense * earlier notes (Jul. 2015)]<br> | |||
[http://relearn.be/2015/etherdump/training-common-sense.html * notes taken during Relearn Aug. 2015, training common sense]<br> | |||
[http://relearn.be/2015/etherdump/training-common-sense-pattern-readme-plus.md.html * #!PATTERN+.readme] | |||
[http://www.cqrrelations.constantvzw.org/1x0/the-annotator/ * the Annotator, Cqrrelations Jan. 2015], [http://pad.constantvzw.org/p/the_annotator on etherpad]<br> | |||
[http://annotations.manettaberends.nl/txt/cqrrelations-jan-2015-day-1.html * notes Cqrrelations day 1], [http://annotations.manettaberends.nl/txt/cqrrelations-jan-2015-day-2.html day 2], [http://annotations.manettaberends.nl/txt/cqrrelations-jan-2015-day-3.html day 3], [http://annotations.manettaberends.nl/txt/cqrrelations-jan-2015-day-4.html day 4], [http://annotations.manettaberends.nl/txt/cqrrelations-jan-2015-day-5.html day 5] | |||
==notes== | |||
* problems related to the common-sense results: | |||
- "it is only possible to categorize, after you have defined the categories" <small>— Solon Barocas at Cqrrelations, 2015</small> | |||
- how can we escape the vicious circle (of training by showing examples of current 'status quo')? | |||
- when an algorithm is made to predict a certain 'truth', how does it find the unpredictable / margins? | |||
==related== | |||
[http://relearn.be/2015/ * Relearn website]<br> | |||
[http://www.clips.ua.ac.be/pages/pattern * CLiPS Pattern, official website]<br> | |||
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Latest revision as of 14:07, 19 November 2015
#!PATTERN+
info
Pattern+ is an annotated edition of the webmining module Pattern. The alpha-release of Pattern+ serves two interconnected goals: It is first of all an attempt to grow our understanding of - and concern with - the culture of data-mining, and then to feed this back into the practice of data-mining itself. It is also an experiment with forms of collaborative techno-critique that locate themselves closely to actual software objects. (from: #!PATTERN+.readme)
Contributors are Manetta Berends, Christina Colchoir, Frederic Janssens, Anne Laforet, My Lê, Femke Snelting, Kym Ward.
Relearn
Pattern+ is initiated as a project during the Relearn summerschool 2015 in Brussels, but is also a continuation of the introduction workshop to Pattern, given by from Guy De Pauw during Cqrrelations (Jan. 2015).
material from Relearn 2015
* Knowledge Discovery in Data (KDD) steps
* data mining culture
other resources
* earlier notes (Jul. 2015)
* notes taken during Relearn Aug. 2015, training common sense
* #!PATTERN+.readme
* the Annotator, Cqrrelations Jan. 2015, on etherpad
* notes Cqrrelations day 1, day 2, day 3, day 4, day 5
notes
* problems related to the common-sense results: - "it is only possible to categorize, after you have defined the categories" — Solon Barocas at Cqrrelations, 2015 - how can we escape the vicious circle (of training by showing examples of current 'status quo')? - when an algorithm is made to predict a certain 'truth', how does it find the unpredictable / margins?
* Relearn website
* CLiPS Pattern, official website