Data searching and knowledge management in social security:  Already in every nation, there is an agency or a corporation for handling commercial. Educational, statistical and other lousinesses in addition ti data-bases such that his data-base can be useful for manager, palnners and refearchers to make stratical decisions provide different reports and describe he current positions. Data processing ande searching or estacting and explore carefully and sxpeditiously valuable and secret data from this base are concorns needed by any state, agency and corporation to expand their scientific, technical and economic affairs.
In  conntry, organizations, firsx and federal and private corporations and institutes, firms and federal and private corporations and institutes such as social security organization are proceeding to establish and purchase software for data-bases and having their intelligence systems mechanized. Likewise given the XX and XX  I ghapters of 3rd plan development act regarking electronic businesses and also emphasizing the national interests in new to easily gain access to both domestic and foreign informations and data, the government has undertaken to provide necessary facilities and auther ities to achieve easily he information, provide backgrounds to connect the country to world networks and establish connective or communicative infra structures and informational Highways. It is evident that thes will establish big data bases and disclose the need to use the procedure to data searching.
The aim to accomplish this data searching is to establish models for decision making. Such models forefee the upcoming treatments based on precedent adalyses. Application of data searching procedure as a lever to condition data and supplement or buile up the competeucies of data stores. These models also provide the best sitations to gain competitive advantages or letter servicing functions for customers.
Given the fact that Social Security Organization and other insurance agencies such as health insurance, National retivement pension organization and etc. always encounter data and information on records of the insured member, employers, The insured therapeutical records, personal records, matnal resources and etc. In most cases these data can contain valuable pieces of informations and pattous. There fore, one of the most important of applications of data-search can be found in these organizations
Today, There are many data banks about the personal details of the insured individuals in the social security organization. They may include fomily, educational and other details, searching for patterns and latent knowledge through this channel will contribute considerably to the progression of decisison making in this context. Use of advanced technics of data search such as those for clustering , classification and etc can be applied in classifying employers and workshops , clinics , finics , finding strategies to distribute and supply treatment equipment and financial resources , finding critical points in financial management and etc.
Data fearching can be used to answer a special question on any insured individual , as well as exploring general trends. For example , me question can be mis : How much will the premium be after ten years from the date of insurance ? Or how much will the amount of fund as expected by the stipendent receivers ?Understanding the pattern of general use of health services or analysis of demands for five past years are all examples of general trends as explored.
Already in management and machinery services consultation , it has been made easy to provide knowledge on approaches and data searching tools.