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AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
14 years 1 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
14 years 1 months ago
Service-independent payload analysis to improve intrusion detection in network traffic
The popularity of computer networks broadens the scope for network attackers and increases the damage these attacks can cause. In this context, Intrusion Detection Systems (IDS) a...
Iñigo Perona, Ibai Gurrutxaga, Olatz Arbela...
AUSDM
2008
Springer
199views Data Mining» more  AUSDM 2008»
14 years 1 months ago
Kernel-based Visualisation of Genes with the Gene Ontology
With the development of microarray
Hamid Ghous, Paul J. Kennedy, Daniel R. Catchpoole...
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
14 years 1 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
14 years 1 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
AUSDM
2008
Springer
246views Data Mining» more  AUSDM 2008»
14 years 1 months ago
A New Evaluation Measure for Imbalanced Datasets
The area of imbalanced datasets is still relatively new, and it is known that the use of overall accuracy is not an appropriate evaluation measure for imbalanced datasets, because...
Cheng G. Weng, Josiah Poon
AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
14 years 1 months ago
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Zhipeng Xie
AUSDM
2008
Springer
231views Data Mining» more  AUSDM 2008»
14 years 1 months ago
S2MP: Similarity Measure for Sequential Patterns
Hassan Saneifar, Sandra Bringay, Anne Laurent, Mag...
AUSDM
2008
Springer
237views Data Mining» more  AUSDM 2008»
14 years 1 months ago
On Inconsistencies in Quantifying Strength of Community Structures
Complex network analysis involves the study of the properties of various real world networks. In this broad field, research on community structures forms an important sub area. Th...
Wen Haw Chong
AUSDM
2008
Springer
229views Data Mining» more  AUSDM 2008»
14 years 1 months ago
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
David M. W. Powers