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ORCIDSIGKDD Explorations, Volume 5
Volume 5, Number 1, June 2003
- Saso Dzeroski:
Multi-relational data mining: an introduction. 1-16 - Hendrik Blockeel, Michèle Sebag:
Scalability and efficiency in multi-relational data mining. 17-30 - Luc De Raedt
, Kristian Kersting:
Probabilistic logic learning. 31-48 - Thomas Gärtner:
A survey of kernels for structured data. 49-58 - Takashi Washio, Hiroshi Motoda:
State of the art of graph-based data mining. 59-68 - David Page, Mark Craven:
Biological applications of multi-relational data mining. 69-79
- Pedro M. Domingos:
Prospects and challenges for multi-relational data mining. 80-83 - Lise Getoor:
Link mining: a new data mining challenge. 84-89 - Lawrence B. Holder, Diane J. Cook:
Graph-based relational learning: current and future directions. 90-93 - John F. Roddick, Peter Fule, Warwick J. Graco:
Exploratory medical knowledge discovery: experiences and issues. 94-99
- Saso Dzeroski, Luc De Raedt:
Multi-relational data mining: the current frontiers. 100-101
Volume 5, Number 2, December 2003
- 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
- Tom Fawcett:
"In vivo" spam filtering: a challenge problem for KDD. 140-148
- 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 D. 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
- Robert L. Grossman:
KDD-2003 workshop on data mining standards, services and platforms (DM-SSP 03). 197 - Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Data mining in bioinformatics: report on BIOKDD'03. 198-199 - Saso Dzeroski, Luc De Raedt, Stefan Wrobel:
Multirelational data mining 2003: workshop report. 200-202
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