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SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
15 years 10 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
KDID
2004
140views Database» more  KDID 2004»
15 years 8 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
FAST
2009
15 years 4 months ago
Provenance as Data Mining: Combining File System Metadata with Content Analysis
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
Vinay Deolalikar, Hernan Laffitte
NOMS
2006
IEEE
189views Communications» more  NOMS 2006»
16 years 19 days ago
Analysis of Firewall Policy Rules Using Data Mining Techniques
— Firewall is the de facto core technology of today's network security and defense. However, the management of firewall rules has been proven to be complex, error-prone, cos...
Korosh Golnabi, Richard K. Min, Latifur Khan, Ehab...
IEAAIE
2004
Springer
16 years 55 min ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...