504 search results - page 30 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
PVLDB
2008
13 years 8 months ago
2008
We study the efficient evaluation of top-k queries over data items, where the score of each item is dynamically computed by applying an item-specific function whose parameter valu...
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Collaborative filtering identifies information interest of a particular user based on the information provided by other similar users. The memory-based approaches for collaborativ...
PAKDD
2001
ACM
14 years 26 days ago
2001
ACM
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
SSDBM
2005
IEEE
14 years 2 months ago
2005
IEEE
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
ICDE
1999
IEEE
14 years 9 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...