[ALOE] Recent activities on resource "Mining of Massive Datasets"ALOEhttp://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=oM9tSENaloe-noreply@dfki.uni-kl.deMartinhttp://aloe-project.de/AloeView/action/userData?userId=lzwX6p3This feed contains recent activities on resource "Mining of Massive Datasets" in [ALOE]http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=oM9tSENUser 'Martin' contributed resource 'Mining of Massive Datasets'ALOEhttp://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=oM9tSENaloe-noreply@dfki.uni-kl.deMartinhttp://aloe-project.de/AloeView/action/userData?userId=lzwX6p3http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=oM9tSEN:6:2014-08-06 12:15:39.0August 6, 2014 12:15:00 PM CEST: User <a href="http://aloe-project.de/AloeView/action/userData?userId=lzwX6p3"><b>Martin</b></a> contributed resource <a href="http://aloe-project.de/AloeView/action/resourceDetailed?resourceId=oM9tSEN"><b>Mining of Massive Datasets</b></a> with the following metadata:<br/><br/><i>associatedDate</i>: <b></b><br/><i>creator</i>: <b>Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman</b><br/><i>description</i>: <b>This book focuses on data mining of very large amounts of data, that is, data so large it does not fit in main memory. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web. Further, the book takes an algorithmic point of view: data mining is about applying algorithms to data, rather than using data to “train” a machine-learning engine of some sort.</b><br/><i>language</i>: <b></b><br/><i>license</i>: <b>none (All rights reserved)</b><br/><i>publisher</i>: <b></b><br/><i>resourceType</i>: <b>resource</b><br/><i>rightsHolder</i>: <b></b><br/><i>tags</i>: <b>mining datamining datasets</b><br/><i>title</i>: <b>Mining of Massive Datasets</b><br/>