this article of focused on data mining, which is very complex to recognize the correct, new models which are potentially useful in data, hence they will be useful, and acceptable for all humans. data mining is also called the exploration of knowledge, is the process of data analysis in the different aspect to summarize them into the suitable information, which is able to increase profits and to...

This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigations. Data mining identifies discrepancies between previous observations and predictions made by Earth science models. Locations of these discrepancies become interesting targets for future observations. Such targets beco...

The purpose of this paper is to provide an overall view of the methods of spatial data mining and its applications to digital landscape models. Spatial data mining can be defined as the deduction of information that is not explicitly stored in a given spatial data model. The subject spatial data mining represents the integration of several fields, including machine learning, database systems, d...

Why do some room and pillar retreat panels encounter abnormal conditions? What factors deserve the most consideration during the planning and execution phases of mining and what can be done to mitigate those abnormal conditions when they are encountered? To help answer these questions, and to determine some of the relevant factors influencing the conditions of room and pillar (R & P) retreat mi...

Thi:( paper provides a new approach to optimize the produelion planning in Ullderground mines by means of evolutionary a lgorithms. Firstly, genetic algorithm is used to reach the global opti mi;:o:ati (ln in planning. Then, evolutionary programming is employed to obtain the partial optimi7,l1tiun fl)r-eaeh year" The-application proves that thonow approach is-l"eas0nable and uS6ful, Kcyw ord s:...

In this paper, we study the maximal pattern discovery problem in a given sequence for the class ERP of flexible patterns with applications to text mining, where a flexible pattern is a sequence of constant and wildcards for possibly empty strings such as AB*B*ABC, and also known as erasing regular patterns. We first discuss the framework of optimal pattern discovery for predictive mining and te...

KDD (Knowledge Discovery in Databases) process has become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recently proposed by us, this paper concentrates on the issue of KDD process planning. In our method, the KDD process is modeled as an organized society of intelligent agents (called KDD agents), and planning is a meta-agent...