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KDD
2003
ACM
157views Data Mining» more  KDD 2003»
15 years 10 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
ALGOSENSORS
2008
Springer
14 years 11 months ago
Probabilistic Protocols for Fair Communication in Wireless Sensor Networks
In this work we present three new distributed, probabilistic data propagation protocols for Wireless Sensor Networks which aim at maximizing the network's operational life and...
Ioannis Chatzigiannakis, Lefteris M. Kirousis, Tho...
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 3 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
CIKM
2000
Springer
15 years 2 months ago
Collection Selection and Results Merging with Topically Organized U.S. Patents and TREC Data
We investigate three issues in distributed information retrieval, considering both TREC data and U.S. Patents: (1) topical organization of large text collections, (2) collection r...
Leah S. Larkey, Margaret E. Connell, James P. Call...
BIB
2008
106views more  BIB 2008»
14 years 10 months ago
Biodiversity informatics: the challenge of linking data and the role of shared identifiers
A major challenge facing biodiversity informatics is integrating data stored in widely distributed databases. Initial efforts have relied on taxonomic names as the shared identifi...
Roderic D. M. Page