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ICIP
2009
IEEE
16 years 8 months ago
Sparsity And Morphological Diversity For Hyperspectral Data Analysis
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
KDD
2007
ACM
121views Data Mining» more  KDD 2007»
16 years 7 months ago
Preserving the Privacy of Sensitive Relationships in Graph Data
Abstract. In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships fr...
Elena Zheleva, Lise Getoor
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
16 years 1 months ago
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun ...
DEXAW
2006
IEEE
153views Database» more  DEXAW 2006»
16 years 1 months ago
Extracting Partition Statistics from Semistructured Data
The effective grouping, or partitioning, of semistructured data is of fundamental importance when providing support for queries. Partitions allow items within the data set that sh...
John N. Wilson, Richard Gourlay, Robert Japp, Math...
ADBIS
2006
Springer
131views Database» more  ADBIS 2006»
16 years 1 months ago
X-Warehousing: An XML-Based Approach for Warehousing Complex Data
XML is suitable for structuring complex data coming from different sources and supported by heterogeneous formats. It allows a flexible formalism capable to represent and store d...
Omar Boussaid, Riadh Ben Messaoud, Rémy Cho...