Applications of dynamic feature selection and clustering methods to medical diagnosis
Abstract Machine learning methods are commonly used for disease and cancer diagnosis.
The model performance can be improved via feature selection, feature reduction, and …
The model performance can be improved via feature selection, feature reduction, and …
A modified neuro-fuzzy classifier and its parallel implementation on modern GPUs for real time intrusion detection
Abstract According to the Cisco Visual Networking Index, the annual global network traffic is
growing consistently and would reach 3.3 ZB by 2021. The percentage of attack traffic is also …
growing consistently and would reach 3.3 ZB by 2021. The percentage of attack traffic is also …
Evolving fuzzy min-max neural network for outlier detection
Outlier detection is a complex task to perform because of the uncertainty involved in it. Fuzzy
logic is more suitable for handling uncertainty. Many applications require real time outlier …
logic is more suitable for handling uncertainty. Many applications require real time outlier …
Big Data in the Revolution of Medical Data: A Review
Big Data plays a crucial role in the medical sector, fundamentally transforming the collection,
organization, and interpretation of medical data. This shift significantly enhances healthcare …
organization, and interpretation of medical data. This shift significantly enhances healthcare …
[PDF][PDF] Survey paper on outlier detection using fuzzy logic based method
Fuzzy logic can be used to reason like humans and can deal with uncertainty other than
randomness. Outlier detection is a difficult task to be performed, due to uncertainty involved …
randomness. Outlier detection is a difficult task to be performed, due to uncertainty involved …
[PDF][PDF] Optimized fuzzy min-max neural network: an efficient approach for supervised outlier detection
Fuzzy min-max neural network (FMN), proposed by Simpson is a wellknown supervised
neuro-fuzzy classifier that has been successfully used by many researchers for pattern …
neuro-fuzzy classifier that has been successfully used by many researchers for pattern …
[PDF][PDF] INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET)
NONS BASE64 - Journal Impact Factor, 2013 - Citeseer
ABSTRACT The Transition from IPv4 to IPv6 is necessary due to introduction of cloud
computing which made spectacular changes to IT Industry in recent years. As IPv6 …
computing which made spectacular changes to IT Industry in recent years. As IPv6 …