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ACL
2009
13 years 6 months ago
Updating a Name Tagger Using Contemporary Unlabeled Data
For many NLP tasks, including named entity tagging, semi-supervised learning has been proposed as a reasonable alternative to methods that require annotating large amounts of trai...
Cristina Mota, Ralph Grishman
PAKDD
2010
ACM
275views Data Mining» more  PAKDD 2010»
14 years 1 months ago
Anonymizing Transaction Data by Integrating Suppression and Generalization
Abstract. Privacy protection in publishing transaction data is an important problem. A key feature of transaction data is the extreme sparsity, which renders any single technique i...
Junqiang Liu, Ke Wang
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
14 years 3 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
ISAAC
2007
Springer
109views Algorithms» more  ISAAC 2007»
14 years 3 months ago
Separating Populations with Wide Data: A Spectral Analysis
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
Avrim Blum, Amin Coja-Oghlan, Alan M. Frieze, Shuh...
MONET
2006
173views more  MONET 2006»
13 years 9 months ago
Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks
We analyze an architecture based on mobility to address the problem of energy efficient data collection in a sensor network. Our approach exploits mobile nodes present in the senso...
Sushant Jain, Rahul Shah, Waylon Brunette, Gaetano...