| dc.contributor.author | Cao Longbing | en_US |
| dc.contributor.author | Yu Philip | en_US |
| dc.contributor.author | Zhang Chengqi | en_US |
| dc.contributor.author | Zhao Yanchang | en_US |
| dc.contributor.editor | en_US | |
| dc.date.accessioned | 2010-05-28T09:36:40Z | |
| dc.date.available | 2010-05-28T09:36:40Z | |
| dc.date.issued | 2010 | en_US |
| dc.identifier | 2009001489 | en_US |
| dc.identifier.citation | Cao Longbing et al. 2010, 'Domain Driven Data Mining',Springer, New York, USA | en_US |
| dc.identifier.issn | 978-1-4419-5736-8 | en_US |
| dc.identifier.other | A1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/7768 | |
| dc.description.abstract | * Bridges the gap between business expectations and research output * Includes techniques, methodologies and case studies in real-life enterprise DM * Addresses new areas such as blog mining In the present thriving global economy a need has evolved for complex data analysis to enhance an organization¿s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. | en_US |
| dc.language | en_US | |
| dc.publisher | Springer | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1007/978-1-4419-5737-5 | en_US |
| dc.title | Domain Driven Data Mining | en_US |
| dc.parent | en_US | |
| dc.journal.volume | en_US | |
| dc.journal.number | en_US | |
| dc.publocation | New York, USA | en_US |
| dc.identifier.startpage | en_US | |
| dc.identifier.endpage | en_US | |
| dc.cauo.name | FEIT.Faculty of Engineering & Information Technology | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 080611 | en_US |
| dc.personcode | 0000054706;011221;034535;998488 | en_US |
| dc.percentage | 000050 | en_US |
| dc.classification.name | Information Systems Theory | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | 1 | en_US |
| dc.custom | en_US | |
| dc.date.activity | en_US | |
| dc.location.activity | en_US | |
| dc.description.keywords | NA | en_US |
| dc.staffid | en_US |