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ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
15 years 5 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
16 years 4 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
CIDR
2009
148views Algorithms» more  CIDR 2009»
15 years 8 months ago
The Case for a Structured Approach to Managing Unstructured Data
The challenge of managing unstructured data represents perhaps the largest data management opportunity for our community since managing relational data. And yet we are risking let...
AnHai Doan, Jeffrey F. Naughton, Akanksha Baid, Xi...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 8 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 7 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin