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ACSAC
2004
IEEE
14 years 8 days ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...
CGI
2009
IEEE
14 years 12 days ago
Visual analytics of time dependent 2D point clouds
Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot app...
Tatiana von Landesberger, Sebastian Bremm, Peyman ...
AIME
2007
Springer
14 years 16 days ago
An Experiment in Automatic Classification of Pathological Reports
Abstract. Medical reports are predominantly written in natural language; as such they are not computer-accessible. A common way to make medical narrative accessible to automated sy...
Janneke van der Zwaan, Erik F. Tjong Kim Sang, Maa...
NIXDORF
1992
127views Hardware» more  NIXDORF 1992»
14 years 17 days ago
Three non Conventional Paradigms of Parallel Computation
Abstract. We consider three paradigms of computation where the bene ts of a parallel solution are greater than usual. Paradigm 1 works on a time-varying input data set, whose size ...
Fabrizio Luccio, Linda Pagli, Geppino Pucci
ICDE
1994
IEEE
99views Database» more  ICDE 1994»
14 years 19 days ago
Supporting Data Mining of Large Databases by Visual Feedback Queries
In this paper, we describe a query system that provides visual relevance feedback in querying large databases. Our goal is to support the process of data mining by representing as...
Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
ITICSE
1996
ACM
14 years 20 days ago
An interactive environment for the teaching of computer architecture
The operation of a computer can be conceptualised as a large, discrete and constantly changing set of state information. However even for the simplest uni-processor the data set o...
Paul S. Coe, Laurence M. Williams, Roland N. Ibbet...
CIKM
1997
Springer
14 years 20 days ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
PODS
1997
ACM
117views Database» more  PODS 1997»
14 years 21 days ago
On the Analysis of Indexing Schemes
We consider the problem of indexing general database workloads (combinations of data sets and sets of potential queries). We de ne a framework for measuring the eciency of an ind...
Joseph M. Hellerstein, Elias Koutsoupias, Christos...
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
14 years 21 days ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
VISUALIZATION
1997
IEEE
14 years 21 days ago
Visualizing the behavior of higher dimensional dynamical systems
In recent years scientific visualization has been driven by the need to visualize high-dimensional data sets within high-dimensional spaces. However most visualization methods ar...
Rainer Wegenkittl, Helwig Löffelmann, Eduard ...