Behavior mining of spatial objects with data field

Abstract

The advanced data mining technologies and the large quantities of remotely sensed Imagery provide a data mining opportunity with high potential for useful results. Extracting interesting patterns and rules from data sets composed of images and associated ground data can be of importance in object identification, community planning, resource discovery and other areas. In this paper, a data field is presented to express the observed spatial objects and conduct behavior mining on them.First, most of the important aspects are discussed on behavior mining and its implications for the future of data mining. Furthermore, an ideal framework of the behavior mining system is proposed in the network environment. Second, the model of behavior mining is given on the observed spatial objects, including the objects described by the first feature data field and the main feature data field by means of the potential function. Finally, a case study about object identification in public is given and analyzed. The experimental results show that the new model is feasible in behavior mining.

Prediction Analysis of Pit Deformation Based on Spatial Data Mining

“…Spatial data mining is the process of human-computer interaction and a new areas of multidisciplinary and multiple based on the comprehensive utilization of statistical methods, pattern recognition, artificial intelligence, neural network, fuzzy mathematics, machine learning, expert systems and information technology, using a variety of numerical conditions , and mining the knowledge of space and related pre-processing, spatial sampling and data transformation [1,2] .Its main spatial data mining methods include a spatial analysis, statistical analysis, inductive learning method, cluster analysis, rough set, neural network method, gray theory method [3] . The original stress equilibrium field around the foundation affected destruction severely causes by the excavation of the pit, which brings soil stress to be released, likely to cause deformation of the supporting structure and surrounding soil of the surrounding ground, and serious harm of deformation and settlement to buildings and the underground pipelines [4] .…”