SIGKDD 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 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 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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