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» Novelty-based Incremental Document Clustering for On-line Do...
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WISE
2009
Springer
13 years 11 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
13 years 6 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
COMPSAC
2003
IEEE
13 years 10 months ago
Incremental Transformation of Procedural Systems to Object Oriented Platforms
Over the past years, the reengineering of legacy software systems to object oriented platforms has received significant attention. In this paper, we present a generic re-engineeri...
Ying Zou, Kostas Kontogiannis
EWCBR
2006
Springer
13 years 8 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
CIKM
2009
Springer
13 years 11 months ago
Leveraging a scalable row store to build a distributed text index
Many content-oriented applications require a scalable text index. Building such an index is challenging. In addition to the logic of inserting and searching documents, developers ...
Ning Li, Jun Rao, Eugene J. Shekita, Sandeep Tata