Volume 5, Number 1, June 2003
Multi Relational Data Mining (MRDM)
Position papers on MRDM
Reports
Volume 5, Number 2, December 2003
Articles on Microarray Data Mining
- Gregory Piatetsky-Shapiro, Pablo Tamayo:
Microarray data mining: facing the challenges.
1-5

- Vinay Nadimpally, Mohammed Javeed Zaki:
A novel approach to determine normal variation in gene expression data.
6-15

- S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr:
Gene ranking using bootstrapped P-values.
16-22

- Blaise Hanczar, Mélanie Courtine, Arriel Benis, Corneliu Henegar, Karine Clément, Jean-Daniel Zucker:
Improving classification of microarray data using prototype-based feature selection.
23-30

- Richard Simon:
Supervised analysis when the number of candidate features (p) greatly exceeds the number of cases (n).
31-36

- Michael O'Connell:
Differential expression, class discovery and class prediction using S-PLUS and S+ArrayAnalyzer.
38-47

- Eric Bair, Robert Tibshirani:
Machine learning methods applied to DNA microarray data can improve the diagnosis of cancer.
48-55

- Sandrine Dudoit, Mark J. van der Laan, Sündüz Keles, Annette M. Molinaro, Sandra E. Sinisi, Siew Leng Teng:
Loss-based estimation with cross-validation: applications to microarray data analysis.
56-68

- Benny Y. M. Fung, Vincent T. Y. Ng:
Classification of heterogeneous gene expression data.
69-78

- Daxin Jiang, Jian Pei, Aidong Zhang:
Towards interactive exploration of gene expression patterns.
79-90

- Xintao Wu, Yong Ye, Liying Zhang:
Graphical modeling based gene interaction analysis for microarray data.
91-100

- Patrick Glenisson, Janick Mathys, Bart De Moor:
Meta-clustering of gene expression data and literature-based information.
101-112

- Hiroshi Mamitsuka, Yasushi Okuno, Atsuko Yamaguchi:
Mining biologically active patterns in metabolic pathways using microarray expression profiles.
113-121

- Marla D. Curran, Hong Liu, Fan Long, Nanxiang Ge:
Statistical methods for joint data mining of gene expression and DNA sequence database.
122-129

- Benjamin I. P. Rubinstein, Jon D. McAuliffe, Simon Cawley, Marimuthu Palaniswami, Kotagiri Ramamohanarao, Terence P. Speed:
Machine learning in low-level microarray analysis.
130-139

Contributed articles
- Tom Fawcett:
"In vivo" spam filtering: a challenge problem for KDD.
140-148

KDD Cup 2003 reports
- Johannes Gehrke, Paul Ginsparg, Jon M. Kleinberg:
Overview of the 2003 KDD Cup.
149-151

- J. N. Manjunatha, K. R. Sivaramakrishnan, Raghavendra Kumar Pandey, M. Narasimha Murty:
Citation prediction using time series approach KDD Cup 2003 (task 1).
152-153

- Claudia Perlich, Foster J. Provost, Sofus A. Macskassy:
Predicting citation rates for physics papers: constructing features for an ordered probit model.
154-155

- Sunita Sarawagi, V. G. Vinod Vydiswaran, Sumana Srinivasan, Kapil Bhudhia:
Resolving citations in a paper repository.
156-157

- Martine Cadot, Joseph di Martino:
A data cleaning solution by Perl scripts for the KDD Cup 2003 task 2.
158-159

- Janez Brank, Jure Leskovec:
The Download Estimation task on KDD Cup 2003.
160-162

- Joel Carleton, Daragh Hartnett, Joseph Milana, Michinari Momma, Joseph Sirosh, Gabriela Surpi:
Model Builder for Predictive Analytics & Fair Isaac's approach to KDD Cup 2003.
163-164

- Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David Jensen:
Exploiting relational structure to understand publication patterns in high-energy physics.
165-172

- Shou-De Lin, Hans Chalupsky:
Using unsupervised link discovery methods to find interesting facts and connections in a bibliography dataset.
173-178

- Shawndra Hill, Foster J. Provost:
The myth of the double-blind review?: author identification using only citations.
179-184

- Grigorii Pivovarov, Sergei Trunov:
EqRank: a self-consistent equivalence relation on graph vertexes.
185-190

- Usama M. Fayyad, Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy:
Summary from the KDD-03 panel: data mining: the next 10 years.
191-196

Panel and workshop reports from KDD-2003
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