1662 search results - page 11 / 333 » Generation of Attributes for Learning Algorithms |
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...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
IJCAI
2007
13 years 9 months ago
2007
We describe an approach to extract attribute-value pairs from product descriptions. This allows us to represent products as sets of such attribute-value pairs to augment product d...
TRS
2008
13 years 7 months ago
2008
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
IDA
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...