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» Incremental hierarchical clustering of text documents
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JMLR
2006
120views more  JMLR 2006»
13 years 6 months ago
Kernel-Based Learning of Hierarchical Multilabel Classification Models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Juho Rousu, Craig Saunders, Sándor Szedm&aa...
CIKM
2009
Springer
14 years 19 days 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
CIKM
2004
Springer
13 years 11 months ago
A practical web-based approach to generating topic hierarchy for text segments
It is crucial in many information systems to organize short text segments, such as keywords in documents and queries from users, into a well-formed topic hierarchy. In this paper,...
Shui-Lung Chuang, Lee-Feng Chien
FLAIRS
2007
13 years 8 months ago
Contextual Concept Discovery Algorithm
In this paper, we focus on the ontological concept extraction and evaluation process from HTML documents. In order to improve this process, we propose an unsupervised hierarchical...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 5 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler