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» Approximate data mining in very large relational data
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RAID
1999
Springer
15 years 6 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
FOCS
2000
IEEE
15 years 6 months ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk
136
Voted
BMCBI
2007
215views more  BMCBI 2007»
15 years 1 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
VLDB
2002
ACM
120views Database» more  VLDB 2002»
15 years 1 months ago
Improving Data Access of J2EE Applications by Exploiting Asynchronous Messaging and Caching Services
The J2EE platform provides a variety of options for making business data persistent using DBMS technology. However, the integration with existing backend database systems has prov...
Samuel Kounev, Alejandro P. Buchmann
115
Voted
WWW
2008
ACM
16 years 2 months ago
Statistical properties of community structure in large social and information networks
A large body of work has been devoted to identifying community structure in networks. A community is often though of as a set of nodes that has more connections between its member...
Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Mi...