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115
Voted
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
16 years 2 months ago
On privacy preservation against adversarial data mining
Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
100
Voted
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 2 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
129
Voted
ICALP
2009
Springer
16 years 2 months ago
Functional Monitoring without Monotonicity
The notion of distributed functional monitoring was recently introduced by Cormode, Muthukrishnan and Yi [CMY08] to initiate a formal study of the communication cost of certain fu...
Chrisil Arackaparambil, Joshua Brody, Amit Chakrab...
216
Voted
VLDB
2006
ACM
124views Database» more  VLDB 2006»
16 years 2 months ago
Query optimization in XML structured-document databases
While the information published in the form of XML-compliant documents keeps fast mounting up, efficient and effective query processing and optimization for XML have now become mor...
Dunren Che, Karl Aberer, M. Tamer Özsu
192
Voted
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
16 years 2 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner