ALT
2001
Springer
14 years 7 months ago
2001
Springer
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
EDBT
2004
ACM
14 years 11 months ago
2004
ACM
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
PODS
2001
ACM
14 years 11 months ago
2001
ACM
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
VLDB
2008
ACM
14 years 11 months ago
2008
ACM
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
KDD
2003
ACM
14 years 11 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
KDD
2003
ACM
14 years 11 months ago
2003
ACM
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
KDD
2003
ACM
14 years 11 months ago
2003
ACM
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
KDD
2004
ACM
14 years 11 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
KDD
2004
ACM
14 years 11 months ago
2004
ACM
Existing data mining algorithms on graphs look for nodes satisfying specific properties, such as specific notions of structural similarity or specific measures of link-based impor...