Add to ORKGUncertainty is widely spread in real-world data. Uncertain data-in computer science-is typically found in the area of sensor networks where the sensors sense the environment with certain error. Mining and visualizing uncertain data is one of the new challenges that face uncertain databases. This paper presents a new intelligent hybrid algorithm that applies fuzzy set theory into the context of the Self-Organizing Map to mine and visualize uncertain objects. The algorithm is tested in some benchmark problems and the uncertain traffics in Named Data Networking (NDN). Experimental results indicate that the proposed algorithm is precise and effective in terms of the applied performance criteria.Peer Reviewe
The topic of managing uncertain data has been explored in many ways. Different methodologies for dat...
The topic of managing uncertain data has been explored in many ways. Different methodologies for dat...
The classifications of uncertain data become one of the tedious processes in the data-mining domain....
Uncertainty is widely spread in real-world data. Uncertain data-in computer science-is typically fou...
Abstract. Uncertainty is widely spread in real-world data. Uncertain data-in computer science- is ty...
In recent years, a number of emerging applications, such as sensor monitoring systems, RFID networks...
Graph data are prevalent in communication networks, social media, and biological networks. These dat...
Abstract — Data uncertainty can be seen in many real-world applications like environmental monitorin...
Uncertain data has been rapidly accumulated in many important applications, such as sensor networks,...
This paper describes a novel binary classification method named LASCUS that can be applied to uneven...
Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes ...
Abstract: The characterisation of uncertainty and the management of Quality of Service are important...
International audienceIn classification problem, several different classes may be partially overlapp...
Abstract. Imprecision, incompleteness and dynamic exist in wide range of net-work applications. It i...
In many real applications that use and analyze networked data, the links in the network graph may be...
The topic of managing uncertain data has been explored in many ways. Different methodologies for dat...
The topic of managing uncertain data has been explored in many ways. Different methodologies for dat...
The classifications of uncertain data become one of the tedious processes in the data-mining domain....
Uncertainty is widely spread in real-world data. Uncertain data-in computer science-is typically fou...
Abstract. Uncertainty is widely spread in real-world data. Uncertain data-in computer science- is ty...
In recent years, a number of emerging applications, such as sensor monitoring systems, RFID networks...
Graph data are prevalent in communication networks, social media, and biological networks. These dat...
Abstract — Data uncertainty can be seen in many real-world applications like environmental monitorin...
Uncertain data has been rapidly accumulated in many important applications, such as sensor networks,...
This paper describes a novel binary classification method named LASCUS that can be applied to uneven...
Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes ...
Abstract: The characterisation of uncertainty and the management of Quality of Service are important...
International audienceIn classification problem, several different classes may be partially overlapp...
Abstract. Imprecision, incompleteness and dynamic exist in wide range of net-work applications. It i...
In many real applications that use and analyze networked data, the links in the network graph may be...
The topic of managing uncertain data has been explored in many ways. Different methodologies for dat...
The topic of managing uncertain data has been explored in many ways. Different methodologies for dat...
The classifications of uncertain data become one of the tedious processes in the data-mining domain....