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» Combining Learned and Highly-Reactive Management
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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 3 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
ECIS
2000
13 years 11 months ago
Reengineering Undergraduate Teaching by Introducing Internet-Based Learning Information Systems
- This paper illustrates how internet-based learning information systems can be used to reengineer undergraduate teaching in the age of mass higher education. We describe current p...
Petra Meier, Bernd Simon
KDD
2004
ACM
123views Data Mining» more  KDD 2004»
14 years 10 months ago
A DEA approach for model combination
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...
Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng
XIMEP
2005
ACM
106views Database» more  XIMEP 2005»
14 years 3 months ago
Combining a Publish and Subscribe Collaboration Architecture with XQuery Approaches
Markup languages, representations, schemas, and tools have significantly increased the ability for organizations to share their information. Languages such as the Extensible Marku...
M. Brian Blake, David H. Fado, Gregory A. Mack
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 10 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin