Income-selling-store Management System Based On The Cmmi Specification And Ssh Framework

In today’s society, the information technology especially the rapid development of networktechnology makes people collection, storage, data transmission ability to increase ceaselessly. Thisdata has exploded, however the decision valuable knowledge is very scarce. Knowledge discoveryand data mining technology is the background of the birth of a new discipline. In order to make datamining in practical application role, so the high performance algorithm and data mining softwareplatform is an important technical basis.Data mining (DataMining) is from the large, incomplete,noisy, blurred, practical random data, in which the extraction of implicit, unknown, but potentiallyuseful information and knowledge of the process, the information and knowledge can be used toanalyse the risk of hospital, prediction. Therefore, in the face of mass data, how to dig out from thehospital development has direct valuable information or knowledge has become an importantresearch direction of data mining application.We put practical applications from data in large, randomized, vague, incomplete, noisy data toextract unknown to us, implied but potentially useful information data and knowledge of this processis called data mining, the hospital can use these data to risk prediction and analysis. From thesemassive data mining for hospital development has important basis, has the function of guidanceinformation will data mining is one of the important research directions in the future.In the hospital clinical decision-making in clinic diagnosis of complications, the rational use ofdrugs in outpatient prescriptions in hospital medical services is more important problems, theseproblems will affect the hospital medical service quality. Analysis of association rules in data miningtechnology is mature, the wider application of a branch. In response to these needs, in the hospitalinformation management system based on, after the data related to the data extraction, data cleaning,data conversion after the preprocessing, design of ODM (OracleDatagining) API based Javeprogram to construct outpatient diagnosis of complication of association rules analysis model and asingle disease prescription drug association rules analysis model, application of the model to thestrong association rules the results, the results to the physician correctly diagnosis and rational use ofdrugs has guiding significance of knowledge, with good accuracy.