default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDData 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 - Victor M. Becerra, Roberto Kawakami Harrop Galvão, Magda Abou-Seada:
Neural and Wavelet Network Models for Financial Distress Classification. 35-55 - Ke Wang, Senqiang Zhou, Qiang Yang, Jack Man Shun Yeung:
Mining Customer Value: From Association Rules to Direct Marketing. 57-79 - Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang:
Data Mining for Inventory Item Selection with Cross-Selling Considerations. 81-112
Volume 11, Number 2, September 2005
- Josep Domingo-Ferrer, Vicenç Torra:
Privacy in Data Mining. 117-119 - Elisa Bertino, Igor Nai Fovino, Loredana Parasiliti Provenza:
A Framework for Evaluating Privacy Preserving Data Mining Algorithms. 121-154 - Stephen E. Fienberg, Aleksandra B. Slavkovic:
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules. 155-180 - Josep Maria Mateo-Sanz, Josep Domingo-Ferrer, Francesc Sebé:
Probabilistic Information Loss Measures in Confidentiality Protection of Continuous Microdata. 181-193 - Josep Domingo-Ferrer, Vicenç Torra:
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation. 195-212
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 - Karam Gouda, Mohammed Javeed Zaki:
GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets. 223-242 - Michihiro Kuramochi, George Karypis:
Finding Frequent Patterns in a Large Sparse Graph*. 243-271 - Seong Lee, Hyun-Cheol Kang, Sang-Tae Han, Kwang-Hwan Kim:
Using Generalized Estimating Equation to Learn Decision Tree with Multivariate Responses. 273-293 - Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li:
Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. 295-321
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-11 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
