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In Wireless Sensor Networks (WSNs), current intrusion detection systems (IDSs) work in isolation from access control. The lack of interoperation between these components can not provide enough security for WSNs. To address this, we propose a new framework to integrate access control and intrusion detection (ID) to improve the security of WSNs. Moreover, we perform access control based on usage control...
Radio Frequency Identification (RFID) technology are gaining much attention for indoor location sensing. LANDMARC was the first attempt utilizing RFID reference tags which make the system adaptable to the environment changes. However, the system suffers from some problems. For example, to further improve the localization accuracy, more reference tags are needed. This means longer latency in tracking...
With the rapid increase of the worldpsilas population, the drastic changes in worldpsilas food supply, and the limitation of land resources, the pressure for agriculture is greater than ever before. With the development of AI theories and technologies, the study in the classification of agriculture data becomes more advanced and intellectualized. This paper mainly discusses a specific decision tree...
Fingerprint identification is a technology which has been widely accepted for personal identification in many areas such as criminal investigation, access control, and Internet authentication due to its uniqueness. Most available systems for fingerprint identification use the minutiae matching for identification. The performance of minutiae extraction algorithms relies heavily on the quality of the...
Classification is a very important research topic in knowledge discovery and machine learning. Decision-tree is one of the well-known data mining methods that are used in classification problems. But sometimes the data set for classification contains vectors missing one or more of the feature values, and is called as incomplete data. Generally, the existence of incomplete data will degrade the learning...
In saturated markets cross selling offers a number of benefits to companies. While these benefits are recognized by mobile telecommunications companies, many have not fully embraced the concept in practice. This paper focuses on the prediction of cross selling opportunities and presents an innovative approach to forecast cross selling opportunities more effectively. The proposed approach combines...
Classification of the numerical data is a very important research topic in machine learning. But the incomplete data is very common in real world application. And the existence of incomplete data degrades the learning quality of classification models. But the existence of incomplete data always decrease the quality of classification models, To show the definition of missing data more intuitively,...
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