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kdd | Knowledge Discovery and Data Mining (KDD)

  • 主办方 / 出版社:ACM
  • 方向:数据挖掘
  • CCF等级 / JCR分区:A类类
Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, Paris, France, June 28, 2009.
注意,当前年度会议可能有其他论文集合,点击查看
Using random forests to uncover bivariate interactions in high dimensional small data sets.

Jorge M. Arevalillo, Hilario Navarro

Identification of structurally important amino acids in proteins by graph-theoretic measures.

Tammy M. K. Cheng, Yu-En Lu, Pietro Liò

Lift-based search for significant dependencies in dense data sets.

Wilhelmiina Hämäläinen

Finding optimal parameters for edit distance based sequence classification is NP-hard.

Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden

Multi-class protein fold recognition using large margin logic based divide and conquer learning.

Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg

Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet.

Uros Midic, A. Keith Dunker, Zoran Obradovic

Handling missing values and censored data in PCA of pharmacological matrices.

Jan Ramon, Fabrizio Costa

Comparing graph-based representations of protein for mining purposes.

Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo

Can we improve on the identification of transcription factor binding sites?

H. P. Shanahan


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