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99
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ESWA
2006
161views more  ESWA 2006»
15 years 17 days ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
112
Voted
CIKM
2006
Springer
15 years 4 months ago
Mining coherent patterns from heterogeneous microarray data
Microarray technology is a powerful tool for geneticists to monitor interactions among tens of thousands of genes simultaneously. There has been extensive research on coherent sub...
Xiang Zhang, Wei Wang 0010
85
Voted
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 29 days ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 1 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
EDM
2008
117views Data Mining» more  EDM 2008»
15 years 2 months ago
Integrating Knowledge Gained From Data Mining With Pedagogical Knowledge
Abstract. Discovering knowledge from raw data is one of the goals of data mining. Yet, it is not always clear how this knowledge is used in educational computing systems and how ex...
Roland Hübscher, Sadhana Puntambekar