%0 Book %1 Aggarwal2007 %B Advances in Database Systems %C Berlin %D 2007 %E Aggarwal, Charu C. %I Springer %K 01624 103 springer book ai database temporal data pattern recognition analysis %R 10.1007/978-0-387-47534-9 %T Data Streams: Models and Algorithms %V 31 %X In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. This book primarily discusses issues related to the mining aspects of data streams rather than the database management aspect of streams. This volume covers mining aspects of data streams in a comprehensive style. Each contributed chapter, from a variety of well known researchers in the data mining field, contains a survey on the topic, the key ideas in the field from that particular topic, and future research directions. %@ 978-1-4614-9768-4

@book{Aggarwal2007, abstract = {In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. This book primarily discusses issues related to the mining aspects of data streams rather than the database management aspect of streams. This volume covers mining aspects of data streams in a comprehensive style. Each contributed chapter, from a variety of well known researchers in the data mining field, contains a survey on the topic, the key ideas in the field from that particular topic, and future research directions.}, added-at = {2017-01-03T11:37:41.000+0100}, address = {Berlin}, biburl = {https://www.bibsonomy.org/bibtex/2e717348efbd7abeff3af4d2e6ee3cc52/flint63}, doi = {10.1007/978-0-387-47534-9}, editor = {Aggarwal, Charu C.}, file = {SpringerLink:2007/Aggarwal2007.pdf:PDF;Springer Product page:http\://www.springer.com/978-1-4614-9768-4:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/0387287590/:URL}, groups = {public}, interhash = {4306f3a875b8276c5ec5444cc514b19a}, intrahash = {e717348efbd7abeff3af4d2e6ee3cc52}, isbn = {978-1-4614-9768-4}, issn = {1386-2944}, keywords = {01624 103 springer book ai database temporal data pattern recognition analysis}, publisher = {Springer}, series = {Advances in Database Systems}, timestamp = {2017-07-13T18:08:39.000+0200}, title = {Data Streams: Models and Algorithms}, username = {flint63}, volume = 31, year = 2007 }