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» Hierarchical summarization of large documents
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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 10 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
14 years 4 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 2 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
SIGMOD
2008
ACM
123views Database» more  SIGMOD 2008»
14 years 9 months ago
Query-based partitioning of documents and indexes for information lifecycle management
Regulations require businesses to archive many electronic documents for extended periods of time. Given the sheer volume of documents and the response time requirements, documents...
Soumyadeb Mitra, Marianne Winslett, Windsor W. Hsu
TCAD
2002
135views more  TCAD 2002»
13 years 9 months ago
Area fill synthesis for uniform layout density
Chemical-mechanical polishing (CMP) and other manufacturing steps in very deep submicron VLSI have varying effects on device and interconnect features, depending on local character...
Yu Chen, Andrew B. Kahng, Gabriel Robins, Alexande...