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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 8 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
ICSE
2007
IEEE-ACM
14 years 7 months ago
Modeling in Software Engineering
A data model is a plan for building a database and is comparable to an architect's building plans. There are two major methodologies used to create a data model: the EntityRe...
Joanne M. Atlee, Robert B. France, Geri Georg, Ana...
ISCAS
2008
IEEE
136views Hardware» more  ISCAS 2008»
14 years 1 months ago
Spatial-temporal consistent labeling for multi-camera multi-object surveillance systems
Abstract—For an intelligent multi-camera multi-object surveillance system, object correspondence across time and space is important to many smart visual applications. In this pap...
Jing-Ying Chang, Tzu-Heng Wang, Shao-Yi Chien, Lia...
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 1 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
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 3 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...