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» Generation of Attributes for Learning Algorithms
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DATAMINE
2006
157views more  DATAMINE 2006»
13 years 7 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
13 years 11 months ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
14 years 1 months ago
Extracting Structured Data from Web Pages
Many web sites contain large sets of pages generated using a common template or layout. For example, Amazon lays out the author, title, comments, etc. in the same way in all its b...
Arvind Arasu, Hector Garcia-Molina
WWW
2003
ACM
14 years 8 months ago
Super-peer-based routing and clustering strategies for RDF-based peer-to-peer networks
RDF-based P2P networks have a number of advantages compared with simpler P2P networks such as Napster, Gnutella or with approaches based on distributed indices such as CAN and CHO...
Alexander Löser, Christoph Schmitz, Ingo Brun...