A load balancing strategy of sdn controller based on distributed decision
Y Zhou, M Zhu, L **ao, L Ruan, W Duan… - 2014 IEEE 13th …, 2014 - ieeexplore.ieee.org
Software-Defined Networking (SDN), enabled by Open Flow, represents a paradigm shift
from traditional network to the future Internet. Replicate or distributed controllers have been …
from traditional network to the future Internet. Replicate or distributed controllers have been …
CIMDS: adapting postprocessing techniques of associative classification for malware detection
Malware is software designed to infiltrate or damage a computer system without the owner's
informed consent (eg, viruses, backdoors, spyware, trojans, and worms). Nowadays …
informed consent (eg, viruses, backdoors, spyware, trojans, and worms). Nowadays …
Classification based on association rules: A lattice-based approach
Classification plays an important role in decision support systems. A lot of methods for
mining classification rules have been developed in recent years, such as C4. 5 and ILA …
mining classification rules have been developed in recent years, such as C4. 5 and ILA …
Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list
Nowadays, numerous attacks made by the malware (eg, viruses, backdoors, spyware,
trojans and worms) have presented a major security threat to computer users. Currently, the …
trojans and worms) have presented a major security threat to computer users. Currently, the …
Intelligent file scoring system for malware detection from the gray list
Currently, the most significant line of defense against malware is anti-virus products which
focus on authenticating valid software from a white list, blocking invalid software from a black …
focus on authenticating valid software from a white list, blocking invalid software from a black …
A fuzzy associative classification approach for recommender systems
Despite the existence of different methods, including data mining techniques, available to be
used in recommender systems, such systems still contain numerous limitations. They are in …
used in recommender systems, such systems still contain numerous limitations. They are in …
Predicting fault proneness of classes trough a multiobjective particle swarm optimization algorithm
Software testing is a fundamental software engineering activity for quality assurance that is
also traditionally very expensive. To reduce efforts of testing strategies, some design metrics …
also traditionally very expensive. To reduce efforts of testing strategies, some design metrics …
Métodos de clasificación basados en asociación aplicados a sistemas de recomendación
J Pinho Lucas - 2010 - gredos.usal.es
[ES] Los sistemas de comercio electrónico actuales requieren de manera permanente
proveer personalización en la presentación de sus contenidos. En este sentido, los …
proveer personalización en la presentación de sus contenidos. En este sentido, los …
Classifying using specific rules with high confidence
In this paper, we introduce a new strategy for mining the set of Class Association Rules
(CARs), that allows building specific rules with high confidence. Moreover, we introduce two …
(CARs), that allows building specific rules with high confidence. Moreover, we introduce two …
Improving environmental sustainability by characterizing spatial and temporal concentrations of ozone
Statistical methods have been widely used to predict pollutant concentrations. However, few
efforts have been made to examine spatial and temporal characteristics of ozone in Korea …
efforts have been made to examine spatial and temporal characteristics of ozone in Korea …