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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/jaeschke/mining"><title>BibSonomy bookmarks for /user/jaeschke/mining</title><link>https://www.bibsonomy.org/user/jaeschke/mining</link><description>BibSonomy RSS Feed for /user/jaeschke/mining</description><items><rdf:Seq><rdf:li rdf:resource="http://www.semantic-web-journal.net/blog/call-papers-special-issue-mining-social-semantics-social-web"/><rdf:li rdf:resource="http://www.cs.uic.edu/~liub/WebMiningBook.html"/><rdf:li rdf:resource="http://code.google.com/p/word2vec/"/><rdf:li rdf:resource="http://technicalelvis.com/blog/category/twitter_mining/"/><rdf:li rdf:resource="http://www.odbms.org/blog/2011/10/analytics-at-ebay-an-interview-with-tom-fastner/"/><rdf:li rdf:resource="http://www.heise.de/newsticker/meldung/Tweets-schneller-Analysieren-Storm-wird-Open-Source-1318769.html"/><rdf:li rdf:resource="http://videolectures.net/ecmlpkdd09_jones_pwsqlm/"/><rdf:li rdf:resource="http://mlkd.csd.auth.gr/msoda/"/><rdf:li rdf:resource="http://www.cs.uvm.edu/~icdm/algorithms/index.shtml"/><rdf:li rdf:resource="http://www.cs.uvm.edu/~icdm/10Problems/index.shtml"/><rdf:li rdf:resource="http://www.kmining.com/index.php?select=conferences&amp;orderby=%20shortname&amp;asc=0"/><rdf:li rdf:resource="http://www.datastructures.info/"/></rdf:Seq></items></channel><item rdf:about="http://www.semantic-web-journal.net/blog/call-papers-special-issue-mining-social-semantics-social-web"><title>Call for Papers: Special Issue on Mining Social Semantics on the Social Web | www.semantic-web-journal.net</title><description></description><link>http://www.semantic-web-journal.net/blog/call-papers-special-issue-mining-social-semantics-social-web</link><dc:creator>jaeschke</dc:creator><dc:date>2015-10-21T17:09:21+02:00</dc:date><dc:subject>issue journal mining myown semantic semantics semanticweb social special web </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2015-10-21T17:09:21+02:00&#034; href=&#034;http://www.semantic-web-journal.net/blog/call-papers-special-issue-mining-social-semantics-social-web&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.semantic-web-journal.net/blog/call-papers-special-issue-mining-social-semantics-social-web&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/issue"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/journal"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/myown"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semanticweb"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/special"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/web"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cs.uic.edu/~liub/WebMiningBook.html"><title>Web Data Mining, book by Bing Liu</title><description>Web data mining techniques and algorithm</description><link>http://www.cs.uic.edu/~liub/WebMiningBook.html</link><dc:creator>jaeschke</dc:creator><dc:date>2014-04-02T10:46:35+02:00</dc:date><dc:subject>algorithm book data mining web </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Web data mining techniques and algorithm&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/book"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/web"/></rdf:Bag></taxo:topics></item><item rdf:about="http://code.google.com/p/word2vec/"><title>word2vec - Tool for computing continuous distributed representations of words. - Google Project Hosting</title><description></description><link>http://code.google.com/p/word2vec/</link><dc:creator>jaeschke</dc:creator><dc:date>2014-01-29T14:31:55+01:00</dc:date><dc:subject>data google language mining nlp similarity skip-gram vector word </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2014-01-29T14:31:55+01:00&#034; href=&#034;http://code.google.com/p/word2vec/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://code.google.com/p/word2vec/&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/google"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/similarity"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/skip-gram"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/vector"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/word"/></rdf:Bag></taxo:topics></item><item rdf:about="http://technicalelvis.com/blog/category/twitter_mining/"><title>twitter_mining | Telvis Calhoun</title><description></description><link>http://technicalelvis.com/blog/category/twitter_mining/</link><dc:creator>jaeschke</dc:creator><dc:date>2013-08-19T16:41:11+02:00</dc:date><dc:subject>bigdata data hadoop mahout mining twitter </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2013-08-19T16:41:11+02:00&#034; href=&#034;http://technicalelvis.com/blog/category/twitter_mining/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://technicalelvis.com/blog/category/twitter_mining/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bigdata"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/hadoop"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mahout"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.odbms.org/blog/2011/10/analytics-at-ebay-an-interview-with-tom-fastner/"><title>Analytics at eBay. An interview with Tom Fastner. | ODBMS Industry Watch</title><description></description><link>http://www.odbms.org/blog/2011/10/analytics-at-ebay-an-interview-with-tom-fastner/</link><dc:creator>jaeschke</dc:creator><dc:date>2011-10-07T09:55:14+02:00</dc:date><dc:subject>analysis ebay kdd mining data </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2011-10-07T09:55:14+02:00&#034; href=&#034;http://www.odbms.org/blog/2011/10/analytics-at-ebay-an-interview-with-tom-fastner/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.odbms.org/blog/2011/10/analytics-at-ebay-an-interview-with-tom-fastner/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analysis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ebay"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/kdd"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.heise.de/newsticker/meldung/Tweets-schneller-Analysieren-Storm-wird-Open-Source-1318769.html"><title>heise online - Tweets schneller Analysieren: Storm wird Open Source</title><description>Twitter wird sein frisch eingekauftes Echtzeit-DV-System Storm als Open Source veröffentlichen. Damit wird die Technik für die Parallelisierung von Datenbankabfragen für alle verfügbar.</description><link>http://www.heise.de/newsticker/meldung/Tweets-schneller-Analysieren-Storm-wird-Open-Source-1318769.html</link><dc:creator>jaeschke</dc:creator><dc:date>2011-08-05T11:55:44+02:00</dc:date><dc:subject>analysis everyaware stream twitter data mining </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Twitter wird sein frisch eingekauftes Echtzeit-DV-System Storm als Open Source veröffentlichen. Damit wird die Technik für die Parallelisierung von Datenbankabfragen für alle verfügbar.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/analysis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/everyaware"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stream"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/twitter"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://videolectures.net/ecmlpkdd09_jones_pwsqlm/"><title>Privacy in Web Search Query Log Mining</title><description>Web search engines have changed our lives - enabling instant access to information about subjects that are both deeply important to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information on diverse topics including word and phrase similarity, topical seasonality and may even have potential for sociology, as well as providing a barometer of the popularity of many subjects. At the same time, individuals are rightly concerned about what the consequences of accidental leaking or deliberate sharing of this information may mean for their privacy. In this talk I will cover the applications which have benefited from mining query logs, the risks that privacy can be breached by sharing query logs, and current algorithms for mining logs in a way to prevent privacy breaches.</description><link>http://videolectures.net/ecmlpkdd09_jones_pwsqlm/</link><dc:creator>jaeschke</dc:creator><dc:date>2009-11-06T14:09:39+01:00</dc:date><dc:subject>2009 data ecmlpkdd log mining privacy search talk video web </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Web search engines have changed our lives - enabling instant access to information about subjects that are both deeply important to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information on diverse topics including word and phrase similarity, topical seasonality and may even have potential for sociology, as well as providing a barometer of the popularity of many subjects. At the same time, individuals are rightly concerned about what the consequences of accidental leaking or deliberate sharing of this information may mean for their privacy. In this talk I will cover the applications which have benefited from mining query logs, the risks that privacy can be breached by sharing query logs, and current algorithms for mining logs in a way to prevent privacy breaches.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/2009"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ecmlpkdd"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/log"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/privacy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/search"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/talk"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/video"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/web"/></rdf:Bag></taxo:topics></item><item rdf:about="http://mlkd.csd.auth.gr/msoda/"><title>Welcome to Mining Social Data ECAI 2008 Workshop</title><description>Workshop Topics

Possible topics of the workshop include (but are not limited to):

    * Social network analysis
    * Bibliometrics
    * Community discovery
    * Personalization for search and for social interaction
    * Recommender systems
    * Web mining algorithms
    * Applications of social network analysis
    * Mining (Collaborative) Tagging Systems (blogs, wikis, etc.)
    * Mining social data for multimedia information retrieval
    * Opinion mining</description><link>http://mlkd.csd.auth.gr/msoda/</link><dc:creator>jaeschke</dc:creator><dc:date>2008-05-20T15:43:21+02:00</dc:date><dc:subject>2008 conference data ecai folksonomy mining social workshop </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Workshop Topics

Possible topics of the workshop include (but are not limited to):

    * Social network analysis
    * Bibliometrics
    * Community discovery
    * Personalization for search and for social interaction
    * Recommender systems
    * Web mining algorithms
    * Applications of social network analysis
    * Mining (Collaborative) Tagging Systems (blogs, wikis, etc.)
    * Mining social data for multimedia information retrieval
    * Opinion mining&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/2008"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/conference"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ecai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/folksonomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/workshop"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cs.uvm.edu/~icdm/algorithms/index.shtml"><title>IEEE Conference on Data Mining</title><description>Top 10 Algorithms in Data Mining</description><link>http://www.cs.uvm.edu/~icdm/algorithms/index.shtml</link><dc:creator>jaeschke</dc:creator><dc:date>2008-01-18T11:01:54+01:00</dc:date><dc:subject>algorithm data icdm ieee mining top </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Top 10 Algorithms in Data Mining&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/icdm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ieee"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/top"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cs.uvm.edu/~icdm/10Problems/index.shtml"><title>IEEE Conference on Data Mining</title><description>10 Challenging Problems in Data Mining Research</description><link>http://www.cs.uvm.edu/~icdm/10Problems/index.shtml</link><dc:creator>jaeschke</dc:creator><dc:date>2008-01-18T11:00:12+01:00</dc:date><dc:subject>data icdm ieee mining problem </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;10 Challenging Problems in Data Mining Research&lt;/span&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/icdm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ieee"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/problem"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.kmining.com/index.php?select=conferences&amp;orderby=%20shortname&amp;asc=0"><title>Data Mining Conferences Calendar</title><description>BI, KDD and Data Mining Conferences / Workshops</description><link>http://www.kmining.com/index.php?select=conferences&amp;orderby=%20shortname&amp;asc=0</link><dc:creator>jaeschke</dc:creator><dc:date>2007-08-08T09:41:28+02:00</dc:date><dc:subject>calendar conference data deadline mining </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;BI, KDD and Data Mining Conferences / Workshops&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/calendar"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/conference"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deadline"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.datastructures.info/"><title>DataStructures</title><description></description><link>http://www.datastructures.info/</link><dc:creator>jaeschke</dc:creator><dc:date>2007-08-07T08:45:21+02:00</dc:date><dc:subject>algorithm blog dm mining search sorting data </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2007-08-07T08:45:21+02:00&#034; href=&#034;http://www.datastructures.info/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.datastructures.info/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/search"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sorting"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/></rdf:Bag></taxo:topics></item></rdf:RDF>