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» Using Anonymized Data for Classification
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AUSAI
2007
Springer
15 years 4 months ago
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
Peter J. Tan, David L. Dowe, Trevor I. Dix
96
Voted
DMKD
1999
ACM
108views Data Mining» more  DMKD 1999»
15 years 4 months ago
Classification as Mining and Use of Labeled Itemsets
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
Dimitris Meretakis, Beat Wüthrich
357
Voted
ICDE
2007
IEEE
1577views Database» more  ICDE 2007»
17 years 4 days ago
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to...
Ninghui Li, Tiancheng Li, Suresh Venkatasubramania...
102
Voted
DBSEC
2010
101views Database» more  DBSEC 2010»
15 years 1 months ago
Generalizing PIR for Practical Private Retrieval of Public Data
Private retrieval of public data is useful when a client wants to query a public data service without revealing the specific query data to the server. Computational Private Informa...
Shiyuan Wang, Divyakant Agrawal, Amr El Abbadi
ICDE
2010
IEEE
260views Database» more  ICDE 2010»
16 years 5 days ago
Anonymizing Weighted Social Network Graphs
The increasing popularity of social networks has initiated a fertile research area in information extraction and data mining. Although such analysis can facilitate better understan...
Sudipto Das, Ömer Egecioglu, Amr El Abbadi