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IEEECIT
2009
IEEE
14 years 3 months ago
Describing Web Topics Meticulously through Word Graph Analysis
Topic description is as important as topic detection. In this paper, we propose a novel method to describe Web topics with topic words. Under the assumption that representative wo...
Bai Sun, Lei Shi, Liang Kong, Yan Zhang
PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 9 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
WEBI
2007
Springer
14 years 3 months ago
K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets
Identification of distinct clusters of documents in text collections has traditionally been addressed by making the assumption that the data instances can only be represented by ...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
WEBNET
2001
13 years 10 months ago
Deriving Context Specific Information on the Web
: The Web is huge, unstructured and diverse in quality, which makes searching for information difficult. In practice, few of the documents returned by a search engine are valuable ...
Christo Dichev, Darina Dicheva
SAC
2011
ACM
12 years 12 months ago
Hierarchical comments-based clustering
Information resources on the Web like videos, images, and documents are increasingly becoming more “social” through user engagement via commenting systems. These commenting sy...
Chiao-Fang Hsu, James Caverlee, Elham Khabiri