Data Mining is considered as an interdisciplinary discipline. Individuals attempt to address significant scale of DM problems using Artificial Intelligence (AI) techniques for real-world applications such as industrial, social, healthcare, predictive toxicology, and bio, chemoinformatics. This paper intends to address some confusion related to overlapping notions in Data Mining techniques and proposes a survey on one AI technique(Decision Trees), to solve specific Data Mining problems,and also a work on Data Mining for security applications. Intrusion Detection (ID) is the main research area in network security.