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KDD
2001
ACM
187views Data Mining» more  KDD 2001»
16 years 7 months ago
Random projection in dimensionality reduction: applications to image and text data
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
Ella Bingham, Heikki Mannila
KDD
2001
ACM
156views Data Mining» more  KDD 2001»
16 years 7 months ago
Classification of genes using probabilistic models of microarray expression profiles
Paul Pavlidis, Christopher Tang, William Stafford ...
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 7 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 7 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
KDD
2001
ACM
152views Data Mining» more  KDD 2001»
16 years 7 months ago
A scalable algorithm for clustering protein sequences
Valerie Guralnik, George Karypis
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 7 months ago
A learning algorithm for string assembly
Mark K. Goldberg, Darren T. Lim, Malik Magdon-Isma...
KDD
2001
ACM
149views Data Mining» more  KDD 2001»
16 years 7 months ago
Maximum entropy methods for biological sequence modeling
Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, nat...
Eugen C. Buehler, Lyle H. Ungar
KDD
2002
ACM
293views Data Mining» more  KDD 2002»
16 years 7 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
16 years 7 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler