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KDD
2003
ACM
210views Data Mining» more  KDD 2003»
16 years 7 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
158
Voted
SIGMOD
2003
ACM
96views Database» more  SIGMOD 2003»
16 years 6 months ago
Toward network data independence
A number of researchers have become interested in the design of global-scale networked systems and applications. Our thesis here is that the database community's principles a...
Joseph M. Hellerstein
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 7 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 7 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
SIGMOD
2006
ACM
113views Database» more  SIGMOD 2006»
16 years 6 months ago
A system for specification and verification of interactive, data-driven web applications
In recent research, we have proposed a framework for highlevel specification of interactive, data-driven Web applications and established theoretical foundations for their verific...
Alin Deutsch, Liying Sui, Victor Vianu, Dayou Zhou