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» A Multi-level Approach for Document Clustering
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MSR
2006
ACM
14 years 1 months ago
Concern based mining of heterogeneous software repositories
In the current trend of software engineering, software systems are viewed as clusters of overlapping structures representing various concerns, covering heterogeneous artifacts lik...
Imed Hammouda, Kai Koskimies
ICDCSW
2002
IEEE
14 years 14 days ago
Efficient Massive Sharing of Content among Peers
In this paper we focus on the design of high performance peer-to-peer content sharing systems. In particular, our goal is to achieve global load balancing and short user-request r...
Peter Triantafillou, Chryssani Xiruhaki, Manolis K...
TAL
2004
Springer
14 years 26 days ago
One Size Fits All? A Simple Technique to Perform Several NLP Tasks
Word fragments or n-grams have been widely used to perform different Natural Language Processing tasks such as information retrieval [1] [2], document categorization [3], automatic...
Daniel Gayo-Avello, Darío Álvarez Gu...
AAAI
2004
13 years 9 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
NIPS
2008
13 years 9 months ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar