The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems
نویسندگان
چکیده
In this work we propose an innovative approach to data mining problem. We propose very flexible data mining system based on serviceoriented architecture. Developing applications according to SOA paradigm emerges from the rapid development of the new technology direct known as sustainability science. Each of data mining functionalities is delivered by the execution of the proper Web service. The Web services, described by input and output parameters and the semantic description of its functionalities, are accessible for all applications that are integrated via Enterprise Service Bus.
منابع مشابه
Health Services Research Spending and Healthcare System Impact; Comment on “Public Spending on Health Service and Policy Research in Canada, the United Kingdom, and the United States: A Modest Proposal”
The challenges associated with translating health services and policy research (HSPR) evidence into practice are many and long-standing. Indeed, those challenges have themselves spawned new areas of research, including knowledge translation and implementation science. These sub-disciplines have increased our understanding of the critical success factors associated with the uptake of research ev...
متن کاملShuffled Frog-Leaping Programming for Solving Regression Problems
There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied to solve real world problems. One of the famous algorithm in optimization problem is shuffl...
متن کاملAn Integrated DEA and Data Mining Approach for Performance Assessment
This paper presents a data envelopment analysis (DEA) model combined with Bootstrapping to assess performance of one of the Data mining Algorithms. We applied a two-step process for performance productivity analysis of insurance branches within a case study. First, using a DEA model, the study analyzes the productivity of eighteen decision-making units (DMUs). Using a Malmquist index, DEA deter...
متن کاملSolving Data Clustering Problems using Chaos Embedded Cat Swarm Optimization
In this paper, a new method is proposed for solving the data clustering problem using Cat Swarm Optimization (CSO) algorithm based on chaotic behavior. The problem of data clustering is an important section in the field of the data mining, which has always been noted by researchers and experts in data mining for its numerous applications in solving real-world problems. The CSO algorithm is one ...
متن کاملSolving Data Clustering Problems using Chaos Embedded Cat Swarm Optimization
In this paper, a new method is proposed for solving the data clustering problem using Cat Swarm Optimization (CSO) algorithm based on chaotic behavior. The problem of data clustering is an important section in the field of the data mining, which has always been noted by researchers and experts in data mining for its numerous applications in solving real-world problems. The CSO algorithm is one ...
متن کامل