Reliable and real-time information on soil and crop properties is important for the development of management practices in accordance with the requirements of a specific soil and crop within individual field units. This is particularly the case in salt-affected agricultural landscape where managing the spatial variability of soil salinity is essential to minimize salinization and maximize crop ...

Software security pattern mining is the recent research interest among researchers working in the areas of security and data mining. When an application runs, several process and system calls associated are invoked in background. In this paper, the major objective is to identify the intrusion using temporal pattern mining. The idea is to find normal temporal system call patterns and use these p...

In coastal China, there is an urgent need to increase land area for agricultural production and urban development, where there is a rapid growing population. One solution is land reclamation from coastal tidelands, but soil salinization is problematic. As such, it is very important to characterize and map the within-field variability of soil salinity in space and time. Conventional methods are ...

This paper focusses on designing and applying data mining techniques to analyze spatial and spatiotemporal data originated in scientific domains. Data mining is the process of discovering hidden and meaningful knowledge in a data set. It has been successfully applied to many real-life problems, for instance, web personalization, network intrusion detection, and customized Marketing. This paper ...

Saltwater intrusion has become a crucial issue for water resources management across the globe. Consequently, this leads to problems such as encroachment on intake zone, loss of freshwater vegetation and also disturbance aquatic life habitat. Undeniably climate change increases saline flow into river system. The meandering rivers are common, hydraulics is more complex than straight rivers. An e...