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VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 10 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 10 months ago
Fast Data Anonymization with Low Information Loss
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
VLDB
2009
ACM
159views Database» more  VLDB 2009»
14 years 10 months ago
Anytime measures for top-k algorithms on exact and fuzzy data sets
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
SIGMOD
2007
ACM
122views Database» more  SIGMOD 2007»
14 years 10 months ago
XQuery layers
XML is the data interoperability standard in many application domains. Therefore, an increasing number of researchers and professionals, who are not computer scientists (although ...
Daniele Braga, Alessandro Campi, Stefano Ceri, Pao...
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
14 years 10 months ago
M-invariance: towards privacy preserving re-publication of dynamic datasets
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
Xiaokui Xiao, Yufei Tao