Synthesizing global association rules in multi database mining
| dc.contributor.guide | Srinivasan R | en_US |
| dc.coverage.spatial | Synthesizing global association rules in multi database mining | en_US |
| dc.creator.researcher | Ramkumar T | en_US |
| dc.date.accessioned | 2014-12-17T05:34:37Z | |
| dc.date.available | 2014-12-17T05:34:37Z | |
| dc.date.awarded | 30/05/2010 | en_US |
| dc.date.completed | 01/05/2010 | en_US |
| dc.date.issued | 2014-12-17 | |
| dc.date.registered | n.d. | en_US |
| dc.description.abstract | Advances in information and communication technologies demand newlinevarious new perceptions in industrial growth and business activities In newlinepractice the required data for corporate decisions are spread over multiple newlinebranches which are physically located in different regions In such situations newlinetraditional data mining techniques based on data warehousing have serious newlinelimitations like high investment on software hardware and difficulties in newlinefinding the individuality of local patterns apart from the necessity of moving newlinehuge quantity of data to the central data warehouse The problem could be newlineovercome by using MultiDatabase mining based on local pattern analysis newlinePatterns can be discovered using various data mining functionalities in which newlineassociation analysis receives significant attention in the KDD community newline newline | en_US |
| dc.description.note | Reference p.144-151 | en_US |
| dc.format.accompanyingmaterial | None | en_US |
| dc.format.dimensions | 23cm | en_US |
| dc.format.extent | xx, 153p. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10603/30952 | |
| dc.language | English | en_US |
| dc.publisher.institution | Faculty of Science and Humanities | en_US |
| dc.publisher.place | Chennai | en_US |
| dc.publisher.university | Anna University | en_US |
| dc.relation | p.144-151 | en_US |
| dc.rights | university | en_US |
| dc.source.university | University | en_US |
| dc.subject.keyword | multi database | en_US |
| dc.subject.keyword | science and humanities | en_US |
| dc.subject.keyword | Synthesizing | en_US |
| dc.title | Synthesizing global association rules in multi database mining | en_US |
| dc.title.alternative | en_US | |
| dc.type.degree | Ph.D. | en_US |
Files
Original bundle
1 - 5 of 15
Loading...
- Name:
- 01_title.pdf
- Size:
- 42.19 KB
- Format:
- Adobe Portable Document Format
- Description:
- Attached File
Loading...
- Name:
- 04_acknowledgement.pdf
- Size:
- 6.97 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1