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» A Unified View on Clustering Binary Data
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KDD
2001
ACM
196views Data Mining» more  KDD 2001»
14 years 5 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
TIP
2010
97views more  TIP 2010»
13 years 5 days ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
DAGSTUHL
2003
13 years 6 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen
CCS
2007
ACM
13 years 11 months ago
Polyglot: automatic extraction of protocol message format using dynamic binary analysis
Protocol reverse engineering, the process of extracting the application-level protocol used by an implementation, without access to the protocol specification, is important for m...
Juan Caballero, Heng Yin, Zhenkai Liang, Dawn Xiao...
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
14 years 2 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar