Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

38

WIDM
2011
ACM

favoriteEmaildiscussreport

200views Internet Technology» more WIDM 2011»

Filtered-top-k association discovery

13 years 5 months ago

Filtered-top-k association discovery

Download www.csse.monash.edu.au

Association mining has been one of the most intensively researched areas of data mining. However, direct uptake of the resulting technologies has been relatively low. This paper examines some of the reasons why the dominant paradigms in association mining have not lived up to their promise, and argues that a powerful alternative is provided by top-k techniques coupled with appropriate statistical and other filtering.

Geoffrey I. Webb

Real-time Traffic

Association Mining | Data Mining | Direct Uptake | Internet Technology | WIDM 2011 |

claim paper

Related Content

» Mining Negative Rules Using GRD

» BRAHMS A WorkBench RDF Store and High Performance Memory System for Semantic Association D...

» Automatic Discovery of Semantic Relations Based on Association Rule

» Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases

» Towards the Tractable Discovery of Association Rules with Negations

» Discovery of MultipleLevel Association Rules from Large Databases

» An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules

» Emotionbased music recommendation by association discovery from film music

» Protein Association Discovery in Biomedical Literature

» On the Discovery of Interesting Patterns in Association Rules

Post Info
More Details (n/a)

Added	15 May 2011
Updated	15 May 2011
Type	Journal
Year	2011
Where	WIDM
Authors	Geoffrey I. Webb

Comments (0)