With advances in technology, use of wireless sensor networks (WSNs) has widely increased
in recent decades. In general, WSNs produce a large amount of data in the form of streams …

Wireless sensor networks (WSNs) produce large scale of data in the form of streams.
Recently, data mining techniques have received a great deal of attention in extracting …

Mining of sensor data for useful knowledge extraction is a very challenging task. Existing
works generate sensor association rules using occurrence frequency of patterns to extract …

Knowledge discovery from sensor data is an emerging research area due to many
applications of crucial importance to our society. Wireless Sensor Networks produce large …

Mining interesting and useful knowledge from the huge amount of data gathered in wireless
sensor networks is a challenging task. Works reported in literature use support metric-based …

Mining interesting knowledge from the huge amount of data gathered from WSNs is a
challenge. Works reported in literature use support metric-based sensor association rules …

WSNs generate huge amount of data in the form of streams and mining useful knowledge
from these streams is a challenging task. Existing works generate sensor association rules …

Sensor association rules have been found to be very useful for improving the quality of
service, energy conservation, resource management, etc. in wireless sensor networks …

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

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