Networks, data mining and artificial intelligence : trends and future directions

Networks, Data Mining and Artificial Intelligence reflects current research in WSN, Data Clustering & Association Mining and emerging topics in AI.

Various routing and security issues in WSN are dealt in Sections I and II.

These two sections discuss Congestion control in wireless environment, signal interference between WLAN & LR-WPAN and its avoidance and Quality of service routing in MANETs.

Section III covers significant contributions on design of efficient clustering algorithms for categorical and mixed data types.

This section includes an exhaustive survey on data clustering techniques.

Section IV includes a probabilistic model for off-line handwritten Manipuri character recognition and a method for acquisition of morphological features of Assamese language.

A soft computing technique for colour and texture discrimination for the tea industry is also discussed.

This section also includes a method for fast computation of Legendre moments.