Nowadays, there is an increasing demand to monitor, analyze, and control large scale
distributed systems. Events detected during monitoring are temporally correlated, which is …

Nowadays, wireless sensor networks are being used for a fast-growing number of different
application fields (eg, habitat monitoring, highway traffic monitoring, remote surveillance) …

Abstract Wireless Sensor Network (WSN) monitoring takes a primary role in many industrial
and research processes. Huge amounts of WSN sensor readings are nowadays available …

摘要随着计算机网络技术的快速发展, 无线传感器网络产生了大量的感知数据流. 同时,
传感器自身的特点使得感知数据具有不确定的特征, 因此需要对传感器网络中不确定感知数据流 …

Approximate Frequent pattern mining is to find approximate patterns, not exact frequent
patterns with tolerable variations for more efficiency. As the size of database increases …

Classification of sensory data is a major research problem in wireless sensor networks and it
can be widely used in reducing the data transmission in wireless sensor networks effectively …

In the recent decade the incidence of animal fatalities involving trains has remained high in
the country. According to recent survey by Wildlife Trust of India (WTI), 72 animals are dying …

With the advances of wireless sensor network and their ability to generate a large amount of
data, data mining techniques to extract useful knowledge regarding the underlying network …

근접 빈발 패턴 마이닝은 향상된 효율성을 위해 정확한 패턴보다 허용되는 범위 안에서 근접
빈발 패턴을 마이닝한다. 데이터베이스의 크기가 증대함에 따라 거대한 데이터베이스를 …

In this work, a novel clustering and aggregating algorithm is proposed to reduce energy
consumption in wireless sensor networks (WSN) by focusing on regulating the inter-cluster …