Data Mining and Knowledge Discovery, Volume 11

Volume 11, Number 1, July 2005

• Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan:
  Automatic Subspace Clustering of High Dimensional Data. 5-33
  Electronic Edition (link) BibTeX
• Victor M. Becerra, Roberto Kawakami Harrop Galvão, Magda Abou-Seada:
  Neural and Wavelet Network Models for Financial Distress Classification. 35-55
  Electronic Edition (link) BibTeX
• Ke Wang, Senqiang Zhou, Qiang Yang, Jack Man Shun Yeung:
  Mining Customer Value: From Association Rules to Direct Marketing. 57-79
  Electronic Edition (link) BibTeX
• Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang:
  Data Mining for Inventory Item Selection with Cross-Selling Considerations. 81-112
  Electronic Edition (link) BibTeX

Volume 11, Number 2, September 2005

• Josep Domingo-Ferrer, Vicenç Torra:
  Privacy in Data Mining. 117-119
  Electronic Edition (link) BibTeX
• Elisa Bertino, Igor Nai Fovino, Loredana Parasiliti Provenza:
  A Framework for Evaluating Privacy Preserving Data Mining Algorithms. 121-154
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• Stephen E. Fienberg, Aleksandra B. Slavkovic:
  Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules. 155-180
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• Josep Maria Mateo-Sanz, Josep Domingo-Ferrer, Francesc Sebé:
  Probabilistic Information Loss Measures in Confidentiality Protection of Continuous Microdata. 181-193
  Electronic Edition (link) BibTeX
• Josep Domingo-Ferrer, Vicenç Torra:
  Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation. 195-212
  Electronic Edition (link) BibTeX

Volume 11, Number 3, November 2005

• Jianlin Cheng, Michael J. Sweredoski, Pierre Baldi:
  Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data. 213-222
  Electronic Edition (link) BibTeX
• Karam Gouda, Mohammed Javeed Zaki:
  GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets. 223-242
  Electronic Edition (link) BibTeX
• Michihiro Kuramochi, George Karypis:
  Finding Frequent Patterns in a Large Sparse Graph^*. 243-271
  Electronic Edition (link) BibTeX
• Seong Lee, Hyun-Cheol Kang, Sang-Tae Han, Kwang-Hwan Kim:
  Using Generalized Estimating Equation to Learn Decision Tree with Multivariate Responses. 273-293
  Electronic Edition (link) BibTeX
• Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li:
  Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. 295-321
  Electronic Edition (link) BibTeX