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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 1 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 1 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
97
Voted
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
16 years 1 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
99
Voted
CHI
2004
ACM
16 years 29 days ago
Multi-modal Interaction in Biomedicine
This chapter introduces the concept of multi-modal interaction and our findings related to the development of biomedical applications for two different projection modalities: virtu...
Elena V. Zudilova, Peter M. A. Sloot
RECOMB
2005
Springer
16 years 27 days ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...