@electronic{sites.google.com, title = {Amazon FireTV Utility App}, url = {https://sites.google.com/site/amazonfiretvutilityapp/}, biburl = {https://puma.uni-kassel.de/url/babcc8b9db74930ab878666599316707/hotho}, keywords = {amazon app download firetv}, added-at = {2014-11-19T10:58:19.000+0100}, description = {}, interhash = {babcc8b9db74930ab878666599316707}, intrahash = {babcc8b9db74930ab878666599316707} } @electronic{www.microsoft.com, title = {Download Microsoft Message Analyzer from Official Microsoft Download Center}, url = {https://www.microsoft.com/en-us/download/details.aspx?id=40308}, biburl = {https://puma.uni-kassel.de/url/de90baa9a1e94bb505d0e1d1e5e5d968/hotho}, keywords = {analyzer download message microsoft tools}, added-at = {2013-10-22T09:13:47.000+0200}, description = {}, interhash = {de90baa9a1e94bb505d0e1d1e5e5d968}, intrahash = {de90baa9a1e94bb505d0e1d1e5e5d968} } @electronic{sourceforge.net, title = {RapidMiner -- Data Mining, ETL, OLAP, BI - Browse Files at SourceForge.net}, url = {http://sourceforge.net/projects/rapidminer/files/}, biburl = {https://puma.uni-kassel.de/url/695c10c41226237562996a7364478bfa/stephandoerfel}, keywords = {data download kdd mining rapidminer}, added-at = {2012-10-23T18:31:12.000+0200}, description = {No 1 in Business Analytics: Data Mining, Predictive Analytics, ETL, Reporting, Dashboards in One Tool. 1000+ methods: data mining, business …}, interhash = {695c10c41226237562996a7364478bfa}, intrahash = {695c10c41226237562996a7364478bfa} } @electronic{www.infochimps.com, title = {Million Songs data collection | Infochimps}, url = {http://www.infochimps.com/collections/million-songs}, biburl = {https://puma.uni-kassel.de/url/4e22c4e11eab7d98433f86a4b6922658/hotho}, keywords = {dataset download music musik songs}, added-at = {2012-04-30T13:51:39.000+0200}, description = {A collection of 28 datasets containing audio features and metadata for a million contemporary popular music tracks. The collection represents a collaboration between LabROSA and The Echo Nest. More details, background, and instructions on how to use the datasets can be found at LabROSA’s site. The goal of sharing this data on Infochimps is to provide a large dataset for research and to encourage large-scale algorithms surrounding the data. There is one dataset for each letter of the alphabet (A-Z) containing data for all songs that start with that letter, one dataset of additional files, and a small sample dataset. Each of the datasets for each letter consists of song files in the HDF5 format. Most of the data is licensed the same way as Echo Nest’s API. 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