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Bedanken darf man sich dabei vor allem bei der CDU. </description><link>https://www.golem.de/news/uploadfilter-beschlossen-vielen-dank-herr-voss-und-herr-oettinger-2105-156652.html</link><dc:creator>meneteqel</dc:creator><dc:date>2021-05-25T09:35:44+02:00</dc:date><dc:subject>Angela_Merkel Axel_Voss Bundeskartellamt CDU E-Commerce EuGH Günther_Oettinger Leistungsschutzrecht Peter_Altmeier Uploadfilter Urheberrechtsreform data_mining </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Mit der Reform des Urheberrechts und ihren Uploadfiltern ist im Grunde niemand zufrieden. 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Die Politik habe die Probleme mit Datenmissbrauch, die sich nun zeigen, jahrezehntelang selbst herbeigeführt. Politiker, so Fefe, seien hier nicht die Opfer, sondern die Täter.</description><link>https://meedia.de/2019/01/08/it-blogger-fefe-zum-datenleak-skandal-aus-meiner-sicht-ist-die-politik-nicht-opfer-sondern-taeter/</link><dc:creator>meneteqel</dc:creator><dc:date>2019-01-09T13:25:46+01:00</dc:date><dc:subject>Datenmissbrauch Datenschutz Datensicherheit big_data data_mining dsgvo fefe </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Der bekannte IT-Experte und Blogger Felix von Leitner aka Fefe hält den aktuellen Datenskandal, bei dem persönliche Informationen von zahlreichen Prominenten und Politikern veröffentlicht wurden, nicht für einen Betriebsunfall, sondern für ein Symptom eines Systemversagens. Die Politik habe die Probleme mit Datenmissbrauch, die sich nun zeigen, jahrezehntelang selbst herbeigeführt. 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Die Rolle des Chief Data Officers für die Digitalisierung</title><description></description><link>https://www.sigs-datacom.de/ots/2018/bis-data-integration-and-big-data/1-die-rolle-des-chief-data-officers-fuer-die-digitalisierung.html</link><dc:creator>schrang</dc:creator><dc:date>2019-01-04T18:21:15+01:00</dc:date><dc:subject>Data_Mining Datenmanagement Datenqualität </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2019-01-04T18:21:15+01:00&#034; href=&#034;https://www.sigs-datacom.de/ots/2018/bis-data-integration-and-big-data/1-die-rolle-des-chief-data-officers-fuer-die-digitalisierung.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.sigs-datacom.de/ots/2018/bis-data-integration-and-big-data/1-die-rolle-des-chief-data-officers-fuer-die-digitalisierung.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Data_Mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Datenmanagement"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Datenqualität"/></rdf:Bag></taxo:topics></item><item rdf:about="http://ieeexplore.ieee.org/document/8228576/"><title>Discovering patterns of NED-breast cancer based on association rules using apriori and FP-growth - IEEE Conference Publication</title><description></description><link>http://ieeexplore.ieee.org/document/8228576/</link><dc:creator>defeatnelly</dc:creator><dc:date>2018-01-18T18:31:20+01:00</dc:date><dc:subject>data_mining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2018-01-18T18:31:20+01:00&#034; href=&#034;http://ieeexplore.ieee.org/document/8228576/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://ieeexplore.ieee.org/document/8228576/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data_mining"/></rdf:Bag></taxo:topics></item><item rdf:about="https://search-proquest-com.jproxy.lib.ecu.edu/computing/docview/1788181619/542810799FD94C02PQ/31?accountid=10639"><title>Constrained pattern mining in the new era - Computing Database - ProQuest</title><description></description><link>https://search-proquest-com.jproxy.lib.ecu.edu/computing/docview/1788181619/542810799FD94C02PQ/31?accountid=10639</link><dc:creator>defeatnelly</dc:creator><dc:date>2018-01-17T23:07:32+01:00</dc:date><dc:subject>data_mining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2018-01-17T23:07:32+01:00&#034; href=&#034;https://search-proquest-com.jproxy.lib.ecu.edu/computing/docview/1788181619/542810799FD94C02PQ/31?accountid=10639&#034; 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Wie beim Kopieren soll es ohne Zustimmung der Rechteinhaber oder Urheber verboten werden. Gegen diesen Plan laufen nun IT-Unternehmen und Forschungseinrichtungen Sturm.</description><link>https://heise.de/-3864658</link><dc:creator>meneteqel</dc:creator><dc:date>2017-10-18T19:28:54+02:00</dc:date><dc:subject>European_Commission Europäische_Union Suchmaschinen Urheberrecht big_data data_mining </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Text- und Data-Mining soll künftig als urheberrechtlich relevante Handlung gelten. Wie beim Kopieren soll es ohne Zustimmung der Rechteinhaber oder Urheber verboten werden. Gegen diesen Plan laufen nun IT-Unternehmen und Forschungseinrichtungen Sturm.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/European_Commission"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Europäische_Union"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Suchmaschinen"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Urheberrecht"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/big_data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data_mining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://blog.echen.me/2011/10/24/winning-the-netflix-prize-a-summary/"><title>Winning the Netflix Prize: A Summary - Edwin Chen&#039;s Blog</title><description>gradient boost</description><link>http://blog.echen.me/2011/10/24/winning-the-netflix-prize-a-summary/</link><dc:creator>bshanks</dc:creator><dc:date>2016-12-12T10:00:24+01:00</dc:date><dc:subject>toread++ ml datamining data_mining prize netflix </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;gradient boost&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/toread++"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data_mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/prize"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/netflix"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.sueddeutsche.de/wirtschaft/digitale-verwaltung-auf-schatzsuche-im-amt-1.3065789"><title>Open Data – Auf Schatzsuche im Amt | Süddeutsche.de 06.07.2016</title><description>Wie läuft der Verkehr? Wo entstehen Wohnungen? Die Antworten stecken in Behördendaten. Die Politik will nun die Zahlen für Firmen öffnen.</description><link>http://www.sueddeutsche.de/wirtschaft/digitale-verwaltung-auf-schatzsuche-im-amt-1.3065789</link><dc:creator>meneteqel</dc:creator><dc:date>2016-08-11T12:52:30+02:00</dc:date><dc:subject>Digitalisierung Privatisierung Verwaltung big_data data_mining open_data </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Wie läuft der Verkehr? Wo entstehen Wohnungen? Die Antworten stecken in Behördendaten. Die Politik will nun die Zahlen für Firmen öffnen.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Digitalisierung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Privatisierung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Verwaltung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/big_data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data_mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/open_data"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cilip.org.uk/blog/being-systematic-about-collating-data"><title>Being systematic about collating data | CILIP</title><description></description><link>http://www.cilip.org.uk/blog/being-systematic-about-collating-data</link><dc:creator>hangdong</dc:creator><dc:date>2016-08-10T10:48:36+02:00</dc:date><dc:subject>data data_mining librarianship library </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2016-08-10T10:48:36+02:00&#034; href=&#034;http://www.cilip.org.uk/blog/being-systematic-about-collating-data&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.cilip.org.uk/blog/being-systematic-about-collating-data&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data_mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/librarianship"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/></rdf:Bag></taxo:topics></item><item rdf:about="https://web.stanford.edu/class/cs224w/resources.html"><title>Stanford CS224W: Resources</title><description>a bookmark</description><link>https://web.stanford.edu/class/cs224w/resources.html</link><dc:creator>hangdong</dc:creator><dc:date>2015-09-14T07:25:12+02:00</dc:date><dc:subject>MOOC course data_mining social_media social_network stanford </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;a bookmark&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/MOOC"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/course"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data_mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social_media"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social_network"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stanford"/></rdf:Bag></taxo:topics></item><item rdf:about="https://dreamtolearn.com/doc/2HDNJH3XJU6CVGKZ7SDM4MCSW"><title>1001 DATASETS AND DATA REPOSITORIES ( LIST OF LISTS OF LISTS )</title><description>1001 DATASETS AND DATA REPOSITORIES ( LIST OF LISTS OF LISTS )</description><link>https://dreamtolearn.com/doc/2HDNJH3XJU6CVGKZ7SDM4MCSW</link><dc:creator>iblis</dc:creator><dc:date>2014-12-20T00:18:37+01:00</dc:date><dc:subject>catalogue data_mining dataset portal resource </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;1001 DATASETS AND DATA REPOSITORIES ( LIST OF LISTS OF LISTS )&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/catalogue"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data_mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/portal"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/resource"/></rdf:Bag></taxo:topics></item><item rdf:about="http://liveserials.blogspot.com/2007/04/beginners-guide-to-mining-and-how-not.html"><title>LiveSerials: A beginner&#039;s guide to mining, and why you shouldn&#039;t do it anyway</title><description></description><link>http://liveserials.blogspot.com/2007/04/beginners-guide-to-mining-and-how-not.html</link><dc:creator>dumuzo</dc:creator><dc:date>2014-08-16T11:31:37+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste ~LIS Data_mining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2014-08-16T11:31:37+02:00&#034; href=&#034;http://liveserials.blogspot.com/2007/04/beginners-guide-to-mining-and-how-not.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://liveserials.blogspot.com/2007/04/beginners-guide-to-mining-and-how-not.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Lesezeichen-Symbolleiste"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/~LIS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Data_mining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://jheer.org/enron/v1/"><title>exploring enron | v1::white</title><description></description><link>http://jheer.org/enron/v1/</link><dc:creator>dumuzo</dc:creator><dc:date>2014-08-16T11:31:37+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste ~LIS Data_mining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2014-08-16T11:31:37+02:00&#034; href=&#034;http://jheer.org/enron/v1/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://jheer.org/enron/v1/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Lesezeichen-Symbolleiste"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/~LIS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Data_mining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://en.wikipedia.org/wiki/Data-mining"><title>Data mining - Wikipedia, the free encyclopedia</title><description></description><link>http://en.wikipedia.org/wiki/Data-mining</link><dc:creator>dumuzo</dc:creator><dc:date>2014-08-16T11:31:37+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste ~LIS Data_mining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2014-08-16T11:31:37+02:00&#034; href=&#034;http://en.wikipedia.org/wiki/Data-mining&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://en.wikipedia.org/wiki/Data-mining&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Lesezeichen-Symbolleiste"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/~LIS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Data_mining"/></rdf:Bag></taxo:topics></item></rdf:RDF>