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PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
ADMA
2005
Springer
149views Data Mining» more  ADMA 2005»
16 years 5 days ago
A New Support Vector Machine for Data Mining
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiu...
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
16 years 4 days ago
DXCS: an XCS system for distributed data mining
XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 10 months ago
A Dataset Decomposition Approach to Data Mining and Machine Discovery
We present a novel data mining approach based on decomposition. In order to analyze a given dataset, the method decomposes it to a hierarchy of smaller and less complex datasets t...
Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cest...
177
Voted
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
15 years 10 months ago
Multi-Relational Data Mining, Using UML for ILP
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...