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134
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OTM
2005
Springer
15 years 9 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
130
Voted
CIKM
2000
Springer
15 years 8 months ago
Analyzing the Effectiveness and Applicability of Co-training
Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...
Kamal Nigam, Rayid Ghani
114
Voted
PERVASIVE
2009
Springer
15 years 10 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset
112
Voted
PRIB
2009
Springer
147views Bioinformatics» more  PRIB 2009»
15 years 10 months ago
Cross-Platform Analysis with Binarized Gene Expression Data
Abstract. With widespread use of microarray technology as a potential diagnostics tool, the comparison of results obtained from the use of different platforms is of interest. When...
Salih Tuna, Mahesan Niranjan
DEXA
2009
Springer
151views Database» more  DEXA 2009»
15 years 10 months ago
Detecting Projected Outliers in High-Dimensional Data Streams
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...
Ji Zhang, Qigang Gao, Hai H. Wang, Qing Liu, Kai X...