https://www.bibsonomy.org/user/mauszfabrick/dataBibSonomy RSS Feed for /user/mauszfabrick/datahttp://www.de-bug.de/blog/archives/linkedin-sixapart-und-flickr-bei-dataportabilityorg.htmlmauszfabrick2011-09-29T12:59:51+02:00debug web web2.0 open free opensource microcontent content sharing filesharing data flickr dataportability portability <a itemprop="url" data-versiondate="2011-09-29T12:59:51+02:00" href="http://www.de-bug.de/blog/archives/linkedin-sixapart-und-flickr-bei-dataportabilityorg.html" rel="nofollow" class="description-link">http://www.de-bug.de/blog/archives/linkedin-sixapart-und-flickr-bei-dataportabilityorg.html</a>http://anand.typepad.com/datawocky/2008/03/more-data-usual.htmlmauszfabrick2011-09-29T12:59:30+02:00data web2.0 last.fm dissertation blog <a itemprop="url" data-versiondate="2011-09-29T12:59:30+02:00" href="http://anand.typepad.com/datawocky/2008/03/more-data-usual.html" rel="nofollow" class="description-link">http://anand.typepad.com/datawocky/2008/03/more-data-usual.html</a>http://wiki.dataportability.org/display/dpmain/DataPortability+for+Usersmauszfabrick2011-09-29T12:59:28+02:00socialweb openid data dataportability <a itemprop="url" data-versiondate="2011-09-29T12:59:28+02:00" href="http://wiki.dataportability.org/display/dpmain/DataPortability+for+Users" rel="nofollow" class="description-link">http://wiki.dataportability.org/display/dpmain/DataPortability+for+Users</a>http://fm4.orf.at/burstup/222500/mainmauszfabrick2011-09-29T12:59:28+02:00fm4 web web2.0 artikel data <a itemprop="url" data-versiondate="2011-09-29T12:59:28+02:00" href="http://fm4.orf.at/burstup/222500/main" rel="nofollow" class="description-link">http://fm4.orf.at/burstup/222500/main</a>free data recovery tools recommended by daddydhttp://lifehacker.com/5237503/five-best-free-data-recovery-toolsmauszfabrick2011-09-29T12:59:13+02:00daddyd software tool free data <span itemprop="description">free data recovery tools recommended by daddyd</span>untested, aber wohl ein deluxe große dateien verschicker toolhttp://www.mediafire.com/mauszfabrick2011-09-29T12:59:12+02:00tool sharing data upload filesharing <span itemprop="description">untested, aber wohl ein deluxe große dateien verschicker tool</span>http://www.dataliberation.org/homemauszfabrick2011-09-29T12:58:56+02:00google web2.0 data dataportability <a itemprop="url" data-versiondate="2011-09-29T12:58:56+02:00" href="http://www.dataliberation.org/home" rel="nofollow" class="description-link">http://www.dataliberation.org/home</a>im grunde qualitä aus quantitäthttp://etherpad.com/krusemethodikmauszfabrick2011-09-29T12:58:44+02:00definitionofcorrectness wissenschaft universität psychologie dissertation web web2.0 netz data <span itemprop="description">im grunde qualitä aus quantität</span>visualisierungenhttp://www.google.com/buzz/saurierduval/5FHGPCuKoaf/Great-Visualizers-Stefanie-Posavec-Information-Ismauszfabrick2011-09-29T12:58:31+02:00visualisierung visualization data art kunst pic text intermedialität hackr <span itemprop="description">visualisierungen</span>visualisierungenhttp://www.informationisbeautiful.net/2010/great-visualizers-stefanie-posavec/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+InformationIsBeautiful+%28Information+Is+Beautiful%29&utm_content=Google+Feedfetchermauszfabrick2011-09-29T12:58:31+02:00visualisierung visualization data art kunst pic text intermedialität literatur media definitionofcorrectness <span itemprop="description">visualisierungen</span>keine wahrheit, wo jede abfrage jedes ergebnis aus allen daten konstruieren kann -> was tun?http://mspr0.de/?p=1613mauszfabrick2011-09-29T12:58:17+02:00definitionofcorrectness dissertation suchmaschine suchmaschinen database data datenbank gesellschaft politik rassismus <span itemprop="description">keine wahrheit, wo jede abfrage jedes ergebnis aus allen daten konstruieren kann -&gt; was tun?</span>digiom über prousts fragebögern und selbstechniken, formspring.mehttp://digiom.wordpress.com/2010/09/19/medien-wissenschaft-im-web-woche-372010/mauszfabrick2011-09-29T12:58:17+02:00suchmaschine identity formulare web2.0 literatur dissertation data <span itemprop="description">digiom über prousts fragebögern und selbstechniken, formspring.me</span>++++ Ein Projekt des sozialen Musikradios Last.fm: For my project I wanted to explore Last.fm’s data to learn how listening preferences vary with the listener’s age and gender. Apart from the science, the most important thing I found is that you can make awesome plots with this information Apparently females like using band names as tags (Super junior, McFly), while males prefer finding lots of ways to say the same thing (metal, jazz). Most importantly we have just used science to prove that men don’t listen to much k-pop.http://blog.last.fm/2010/09/22/now-in-the-playground-gender-plotsmauszfabrick2011-09-29T12:58:16+02:00gender pop genderpop dissertation last.fm music statistik data <span itemprop="description">++++ Ein Projekt des sozialen Musikradios Last.fm: For my project I wanted to explore Last.fm’s data to learn how listening preferences vary with the listener’s age and gender. Apart from the science, the most important thing I found is that you can make awesome plots with this information Apparently females like using band names as tags (Super junior, McFly), while males prefer finding lots of ways to say the same thing (metal, jazz). Most importantly we have just used science to prove that men don’t listen to much k-pop.</span>mspro reloadedhttp://www.ctrl-verlust.net/kontrollverlust-reloadet-das-ende-des-endes/mauszfabrick2011-09-29T12:58:15+02:00privacy identity web2.0 database data dissertation wissenschaft literaturwissenschaft <span itemprop="description">mspro reloaded</span>diagramme zur häufigkeit von wörtern im riesencorpus googlebooks über lange zeiträumehttp://ngrams.googlelabs.com/mauszfabrick2011-09-29T12:58:06+02:00montagsfrühstück google book buch text literatur literaturwissenschaft media visualization visualisierung data research wissenschaft wissen word <span itemprop="description">diagramme zur häufigkeit von wörtern im riesencorpus googlebooks über lange zeiträume</span>the data behind the last.fm best of 2010http://blog.last.fm/2010/12/16/the-data-behind-best-of-2010mauszfabrick2011-09-29T12:58:06+02:00dissertation pop music data chart last.fm 2010 <span itemprop="description">the data behind the last.fm best of 2010</span>visualisierung der last.fm 2010er charts +++http://cdn.last.fm/blog/posts/bestof2010_streamgraph.pdfmauszfabrick2011-09-29T12:58:06+02:00chart pop music last.fm 2010 dissertation data visualization visualisierung filetype:pdf media:document <span itemprop="description">visualisierung der last.fm 2010er charts +++</span>msproe stellt postprivacy spackeria vorhttp://www.ctrl-verlust.net/the-rise-of-spackeria/mauszfabrick2011-09-29T12:57:54+02:00identity privacy data datenschutz web2.0 web <span itemprop="description">msproe stellt postprivacy spackeria vor</span>Since then scientists have battled to recognise specific aspects of a song, such as its tempo, key, harmony, rhythm, instrumentation, or even just its genre, by analyzing its audio content. Starting in 2004, this battle has been formalised into an annual competition called MIREX. In each round of MIREX, competitors submit their programs to a carefully controlled competition server, where each program is run on the same set of tracks. The winner is the one whose results agree most closely with a matching set of human judgements. But gathering human opinions about very specific aspects of large numbers of songs isn’t easy. You need to find people with a keen interest in music, and ideally some musical expertise. You need to persuade them to answer questions that can seem obvious to them (even though they are still difficult for a computer). Finally you need to have enough helpers to allow for the fact that some interesting musical questions can have more than one ‘right’ answer.http://blog.last.fm/2011/05/12/slow-or-fast-please-lend-us-your-earsmauszfabrick2011-09-29T12:57:30+02:00last.fm music pop dissertation data <span itemprop="description">Since then scientists have battled to recognise specific aspects of a song, such as its tempo, key, harmony, rhythm, instrumentation, or even just its genre, by analyzing its audio content. Starting in 2004, this battle has been formalised into an annual competition called MIREX. In each round of MIREX, competitors submit their programs to a carefully controlled competition server, where each program is run on the same set of tracks. The winner is the one whose results agree most closely with a matching set of human judgements. But gathering human opinions about very specific aspects of large numbers of songs isn’t easy. You need to find people with a keen interest in music, and ideally some musical expertise. You need to persuade them to answer questions that can seem obvious to them (even though they are still difficult for a computer). Finally you need to have enough helpers to allow for the fact that some interesting musical questions can have more than one ‘right’ answer.</span>We’ve been thrilled with the all support we’ve been getting from users who are helping us rate the tempo of music tracks in our Speedo experiment, thanks! Now we’d like to ask you to help us with another fun music experiment for a new project called Audio Flowers. We are currently doing some research into new techniques to measure structural change (or “complexity”) in rhythm, harmony and timbre directly from mp3 files. The measurements we take from a song are then summarised to produce a little image: an Audio Flower like the one below.http://blog.last.fm/2011/05/18/lend-us-your-ears-again-audio-flowers-and-musical-complexitymauszfabrick2011-09-29T12:57:29+02:00last.fm music pop dissertation data visualization visualisierung <span itemprop="description">We’ve been thrilled with the all support we’ve been getting from users who are helping us rate the tempo of music tracks in our Speedo experiment, thanks! Now we’d like to ask you to help us with another fun music experiment for a new project called Audio Flowers. We are currently doing some research into new techniques to measure structural change (or “complexity”) in rhythm, harmony and timbre directly from mp3 files. The measurements we take from a song are then summarised to produce a little image: an Audio Flower like the one below.</span>