<?xml version="1.0" encoding="UTF-8"?>
<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/tag/Datamining"><title>BibSonomy bookmarks for /tag/Datamining</title><link>https://www.bibsonomy.org/tag/Datamining</link><description>BibSonomy RSS Feed for /tag/Datamining</description><items><rdf:Seq><rdf:li rdf:resource="https://stacks.stanford.edu/file/druid:yz379pw9306/yz379pw9306.pdf"/><rdf:li rdf:resource="http://maya.cs.depaul.edu/~Classes/Ect584/Weka/"/><rdf:li rdf:resource="http://google.de/trends"/><rdf:li rdf:resource="http://www.paterva.com/web3/"/><rdf:li rdf:resource="http://rapid-i.com/content/view/181/190/"/><rdf:li rdf:resource="http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/941/863"/><rdf:li rdf:resource="http://www.cs.waikato.ac.nz/ml/weka/"/><rdf:li rdf:resource="https://bigdatasoc.blogspot.com/2020/03/how-biased-is-sample-reverse.html"/><rdf:li rdf:resource="https://www.researchgate.net/publication/339775426_Exploring_Student_Approaches_to_Learning_through_Sequence_Analysis_of_Reading_Logs"/><rdf:li rdf:resource="https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-020-0177-7"/><rdf:li rdf:resource="https://media.ccc.de/v/hackover14_-_6486_-_de_-_raum_1_7_-_201410242115_-_whatsapp_data_mining_-_klassiker#t=531"/><rdf:li rdf:resource="https://www.turing.ac.uk/research/research-projects/artificial-intelligence-data-analytics-aida"/><rdf:li rdf:resource="https://www.bbc.com/news/technology-48434175"/><rdf:li rdf:resource="https://www.teachingandlearning.ie/resource/learning-analytics-platform-guide/"/><rdf:li rdf:resource="https://fosteredu.pennfoster.edu/what-types-of-learning-analytics-should-your-training-provider-offer"/><rdf:li rdf:resource="https://www.dataiku.com/"/><rdf:li rdf:resource="https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-35973-1_598"/><rdf:li rdf:resource="https://www.xaprb.com/blog/2014/06/08/time-series-database-requirements/"/><rdf:li rdf:resource="https://misfra.me/state-of-the-state-part-iii/"/><rdf:li rdf:resource="http://jmoiron.net/blog/thoughts-on-timeseries-databases"/></rdf:Seq></items></channel><item rdf:about="https://stacks.stanford.edu/file/druid:yz379pw9306/yz379pw9306.pdf"><title>Information Processing Language-V Manual 2nd Ed. (.PDF)</title><description>From Freaking RAND Corporation by Alan Olson, Gilbert Hansen, Ranan B. Banerji 1964</description><link>https://stacks.stanford.edu/file/druid:yz379pw9306/yz379pw9306.pdf</link><dc:creator>panic</dc:creator><dc:date>2026-06-20T17:29:55+02:00</dc:date><dc:subject>=O Book(s) DataMining DataStructures Information Programming </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;From Freaking RAND Corporation by Alan Olson, Gilbert Hansen, Ranan B. Banerji 1964&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/=O"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Book(s)"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DataMining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DataStructures"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Information"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Programming"/></rdf:Bag></taxo:topics></item><item rdf:about="http://maya.cs.depaul.edu/~Classes/Ect584/Weka/"><title>ECT 584 - Data Mining in Weka</title><description></description><link>http://maya.cs.depaul.edu/~Classes/Ect584/Weka/</link><dc:creator>selm</dc:creator><dc:date>2020-07-25T23:17:14+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste public eL3€7 userland file-operation datamining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-07-25T23:17:14+02:00&#034; href=&#034;http://maya.cs.depaul.edu/~Classes/Ect584/Weka/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://maya.cs.depaul.edu/~Classes/Ect584/Weka/&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/public"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/eL3€7"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/userland"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/file-operation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://google.de/trends"><title>Google Trends</title><description></description><link>http://google.de/trends</link><dc:creator>selm</dc:creator><dc:date>2020-07-25T23:17:14+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste public eL3€7 userland file-operation datamining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-07-25T23:17:14+02:00&#034; href=&#034;http://google.de/trends&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://google.de/trends&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/public"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/eL3€7"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/userland"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/file-operation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.paterva.com/web3/"><title>Maltego</title><description></description><link>http://www.paterva.com/web3/</link><dc:creator>selm</dc:creator><dc:date>2020-07-25T23:17:14+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste public eL3€7 userland file-operation datamining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-07-25T23:17:14+02:00&#034; href=&#034;http://www.paterva.com/web3/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.paterva.com/web3/&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/public"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/eL3€7"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/userland"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/file-operation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://rapid-i.com/content/view/181/190/"><title>Rapid - I - RapidMiner</title><description></description><link>http://rapid-i.com/content/view/181/190/</link><dc:creator>selm</dc:creator><dc:date>2020-07-25T23:17:14+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste public eL3€7 userland file-operation datamining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-07-25T23:17:14+02:00&#034; href=&#034;http://rapid-i.com/content/view/181/190/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://rapid-i.com/content/view/181/190/&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/public"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/eL3€7"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/userland"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/file-operation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/941/863"><title>Uncloaking Terrorist Networks</title><description></description><link>http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/941/863</link><dc:creator>selm</dc:creator><dc:date>2020-07-25T23:17:14+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste public eL3€7 userland file-operation datamining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-07-25T23:17:14+02:00&#034; href=&#034;http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/941/863&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/941/863&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/public"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/eL3€7"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/userland"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/file-operation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cs.waikato.ac.nz/ml/weka/"><title>Weka 3 - Data Mining with Open Source Machine Learning Software in Jav</title><description></description><link>http://www.cs.waikato.ac.nz/ml/weka/</link><dc:creator>selm</dc:creator><dc:date>2020-07-25T23:17:14+02:00</dc:date><dc:subject>Lesezeichen-Symbolleiste public eL3€7 userland file-operation datamining </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-07-25T23:17:14+02:00&#034; href=&#034;http://www.cs.waikato.ac.nz/ml/weka/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.cs.waikato.ac.nz/ml/weka/&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/public"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/eL3€7"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/userland"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/file-operation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/></rdf:Bag></taxo:topics></item><item rdf:about="https://bigdatasoc.blogspot.com/2020/03/how-biased-is-sample-reverse.html"><title>How biased is the sample? Reverse engineering the ranking algorithm of Facebook’s Graph application programming interface</title><description>Justin Chun-ting Ho, 2020 | Big Data &amp; Society</description><link>https://bigdatasoc.blogspot.com/2020/03/how-biased-is-sample-reverse.html</link><dc:creator>ereidt</dc:creator><dc:date>2020-03-22T12:15:01+01:00</dc:date><dc:subject>API biasdetection datamining facebookpages learninganalytics research socialmedia </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Justin Chun-ting Ho, 2020 | Big Data &amp;amp; Society&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/API"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/biasdetection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/facebookpages"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/socialmedia"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.researchgate.net/publication/339775426_Exploring_Student_Approaches_to_Learning_through_Sequence_Analysis_of_Reading_Logs"><title>Exploring Student Approaches to Learning through Sequence Analysis of Reading Logs</title><description>Akçapınar et al., 2020</description><link>https://www.researchgate.net/publication/339775426_Exploring_Student_Approaches_to_Learning_through_Sequence_Analysis_of_Reading_Logs</link><dc:creator>ereidt</dc:creator><dc:date>2020-03-22T12:10:16+01:00</dc:date><dc:subject>datamining ebook learninganalytics learningoutcomes machinelearning methodologies readinglogs sequenceanalysis </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Akçapınar et al., 2020&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ebook"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learningoutcomes"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machinelearning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/methodologies"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/readinglogs"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sequenceanalysis"/></rdf:Bag></taxo:topics></item><item rdf:about="https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-020-0177-7"><title>Predicting academic success in higher education: literature review and best practices</title><description>Alyahyan &amp; Düştegör (2020) | International Journal of Educational Technology in Higher Education</description><link>https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-020-0177-7</link><dc:creator>ereidt</dc:creator><dc:date>2020-02-18T21:44:18+01:00</dc:date><dc:subject>bestpractices datamining highered learninganalytics literaturereview predictivemodeling studentsuccess </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Alyahyan &amp;amp; Düştegör (2020) | International Journal of Educational Technology in Higher Education&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bestpractices"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/literaturereview"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/predictivemodeling"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/studentsuccess"/></rdf:Bag></taxo:topics></item><item rdf:about="https://media.ccc.de/v/hackover14_-_6486_-_de_-_raum_1_7_-_201410242115_-_whatsapp_data_mining_-_klassiker#t=531"><title>media.ccc.de - WhatsApp Data Mining</title><description>Workshop/Information zum Data Mining mit WhatsApp und sammeln von Daten aus Facebook durch &#034;Datenlecks&#034;, die dem Unternehmen egal sind un...</description><link>https://media.ccc.de/v/hackover14_-_6486_-_de_-_raum_1_7_-_201410242115_-_whatsapp_data_mining_-_klassiker#t=531</link><dc:creator>esistimfluss</dc:creator><dc:date>2020-02-15T23:12:17+01:00</dc:date><dc:subject>2020 Profilbildung datamining whatsapp </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Workshop/Information zum Data Mining mit WhatsApp und sammeln von Daten aus Facebook durch &amp;#034;Datenlecks&amp;#034;, die dem Unternehmen egal sind un...&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/2020"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Profilbildung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/whatsapp"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.turing.ac.uk/research/research-projects/artificial-intelligence-data-analytics-aida"><title>AIDA: Artificial Intelligence in Data Analysis</title><description>Project at the Turing Institute which develops tools for automated but still interactive data wrangling.</description><link>https://www.turing.ac.uk/research/research-projects/artificial-intelligence-data-analytics-aida</link><dc:creator>annakrause</dc:creator><dc:date>2019-11-08T10:55:22+01:00</dc:date><dc:subject>DataMining DataScience DataWrangling KDD </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Project at the Turing Institute which develops tools for automated but still interactive data wrangling.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DataMining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DataScience"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DataWrangling"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/KDD"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.bbc.com/news/technology-48434175"><title>Would you recognise yourself from your data? - BBC News</title><description>Firms make all kind of assumptions about you based on the data they receive.</description><link>https://www.bbc.com/news/technology-48434175</link><dc:creator>ereidt</dc:creator><dc:date>2019-06-02T10:18:48+02:00</dc:date><dc:subject>algorithms datamining ethics learninganalytics surveillance </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Firms make all kind of assumptions about you based on the data they receive.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ethics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/surveillance"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.teachingandlearning.ie/resource/learning-analytics-platform-guide/"><title>Learning Analytics Platform Guide</title><description>National Forum for the Enhancement of Teaching and Learning in Higher Education</description><link>https://www.teachingandlearning.ie/resource/learning-analytics-platform-guide/</link><dc:creator>ereidt</dc:creator><dc:date>2019-02-17T10:45:30+01:00</dc:date><dc:subject>casestudy datamining implementation learninganalytics studentengagement studentsuccess </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;National Forum for the Enhancement of Teaching and Learning in Higher Education&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/casestudy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/implementation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/studentengagement"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/studentsuccess"/></rdf:Bag></taxo:topics></item><item rdf:about="https://fosteredu.pennfoster.edu/what-types-of-learning-analytics-should-your-training-provider-offer"><title>What Types of Learning Analytics Should your Training Provider Offer?</title><description>A quality training provider will share vital learning analytics with you. Look for data on employee engagement, outcomes, and cost.</description><link>https://fosteredu.pennfoster.edu/what-types-of-learning-analytics-should-your-training-provider-offer</link><dc:creator>ereidt</dc:creator><dc:date>2019-01-13T13:09:42+01:00</dc:date><dc:subject>datamining learninganalytics organizationalstructure sharedresponsibility </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A quality training provider will share vital learning analytics with you. Look for data on employee engagement, outcomes, and cost.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/organizationalstructure"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sharedresponsibility"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.dataiku.com/"><title>Dataiku | Collaborative Data Science Platform</title><description></description><link>https://www.dataiku.com/</link><dc:creator>bshanks</dc:creator><dc:date>2018-02-23T10:41:21+01:00</dc:date><dc:subject>data dataiku datamining datascience free knime ml predictiveanalytics rapidminer </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2018-02-23T10:41:21+01:00&#034; href=&#034;https://www.dataiku.com/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.dataiku.com/&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/dataiku"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datascience"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/free"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knime"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/predictiveanalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/rapidminer"/></rdf:Bag></taxo:topics></item><item rdf:about="https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-35973-1_598"><title>Indexing and Mining Time Series Data - Springer</title><description></description><link>https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-35973-1_598</link><dc:creator>rwoz</dc:creator><dc:date>2017-08-10T13:36:59+02:00</dc:date><dc:subject>book datamining time-series </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2017-08-10T13:36:59+02:00&#034; href=&#034;https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-35973-1_598&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-35973-1_598&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/book"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/time-series"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.xaprb.com/blog/2014/06/08/time-series-database-requirements/"><title>Time-Series Database Requirements · Baron Schwartz&#039;s Blog</title><description></description><link>https://www.xaprb.com/blog/2014/06/08/time-series-database-requirements/</link><dc:creator>rwoz</dc:creator><dc:date>2017-08-10T13:34:36+02:00</dc:date><dc:subject>blog database datamining time-series </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2017-08-10T13:34:36+02:00&#034; href=&#034;https://www.xaprb.com/blog/2014/06/08/time-series-database-requirements/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.xaprb.com/blog/2014/06/08/time-series-database-requirements/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/database"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/time-series"/></rdf:Bag></taxo:topics></item><item rdf:about="https://misfra.me/state-of-the-state-part-iii/"><title>State of the State Part III - Misframe</title><description></description><link>https://misfra.me/state-of-the-state-part-iii/</link><dc:creator>rwoz</dc:creator><dc:date>2017-08-10T13:33:52+02:00</dc:date><dc:subject>blog databases datamining time-series </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2017-08-10T13:33:52+02:00&#034; href=&#034;https://misfra.me/state-of-the-state-part-iii/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://misfra.me/state-of-the-state-part-iii/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/databases"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/time-series"/></rdf:Bag></taxo:topics></item><item rdf:about="http://jmoiron.net/blog/thoughts-on-timeseries-databases"><title>Thoughts on Time-series Databases</title><description></description><link>http://jmoiron.net/blog/thoughts-on-timeseries-databases</link><dc:creator>rwoz</dc:creator><dc:date>2017-08-10T13:32:30+02:00</dc:date><dc:subject>blog database datamining time-series </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2017-08-10T13:32:30+02:00&#034; href=&#034;http://jmoiron.net/blog/thoughts-on-timeseries-databases&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://jmoiron.net/blog/thoughts-on-timeseries-databases&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/database"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/datamining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/time-series"/></rdf:Bag></taxo:topics></item></rdf:RDF>