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CIKM
2010
Springer
15 years 3 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
MMM
2007
Springer
114views Multimedia» more  MMM 2007»
15 years 10 months ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 10 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
AGENTS
1997
Springer
15 years 8 months ago
Synthetic Minds
This paper discusses conditions under which some of the “higher level” mental concepts applicable to human beings might also be applicable to artificial agents. The key idea ...
Aaron Sloman
SEMWEB
2007
Springer
15 years 10 months ago
Multi-concept Alignment and Evaluation
Abstract. In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment – where one set of concepts is aligned to another set....
Shenghui Wang, Antoine Isaac, Lourens van der Meij...