1662 search results - page 11 / 333 » Generation of Attributes for Learning Algorithms |
315
Voted
ICDE
1999
IEEE
16 years 4 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...
134
Voted
KDD
1995
ACM
15 years 6 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 ...
127
Voted
IJCAI
2007
15 years 4 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...
125
Voted
TRS
2008
15 years 2 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...
141
Voted
IDA
2009
Springer
15 years 15 days 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...