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» Very Large Scale Information Retrieval
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WWW
2007
ACM
14 years 9 months ago
A new suffix tree similarity measure for document clustering
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
Hung Chim, Xiaotie Deng
IJCNN
2008
IEEE
14 years 3 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
IJCNN
2007
IEEE
14 years 3 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 3 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
JCDL
2006
ACM
128views Education» more  JCDL 2006»
14 years 3 months ago
Building a research library for the history of the web
This paper describes the building of a research library for studying the Web, especially research on how the structure and content of the Web change over time. The library is part...
William Y. Arms, Selcuk Aya, Pavel Dmitriev, Blaze...