Presenting a New Method Based on Learning Algorithm for Data Processing to Adopt Futures Studies Strategies in Higher Education

Nowadays changes happen with rapid rates. Technological changes and subsequent changes in other aspects of life, the increasing interdependence of countries and peoples, societies and institutions that decentralization has been accelerated due to the development of information technology, globalization and the increasing desire to preserve national characteristics, ethnic, cultural and many other factors The need for a better understanding of "change" and "future" for governments, businesses, organizations and people require. Futures Studies as a subset of the major activities, including the collection and analysis efforts, using resources, models and agents of change or stability, to visualize the potential futures and planning for them. The field remains in its infancy in our country is so vulnerable. Futures Studies to achieve its rightful place in the coming decades should take advantage of new ways to predict the future. Today, IT is the most powerful computers make it possible to collect, transfer, combination and store large volumes of data with low cost, is practical. Increase the volume database to extract information from data stored organizations leads. Using the knowledge hidden in the data mining learning algorithms can be used to help predict the future. In this paper, a new method based on learning algorithms for data processing strategies for Futures Studies presented.