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It then stores the mining result either in a file or in a designated place in a database or in a data warehouse. Classification according to the kinds of knowledge mined: Data mining systems can be categorized according to the kinds of knowledge they mine, that is, based on data mining functionalities, such as characterization, discrimination, association and correlation analysis, classification, prediction, clustering, outlier analysis, and evolution analysis. Apart from these, a data mining system can also be classified based on the kind of (a) databases mined, (b) knowledge mined, (c) techniques utilized, and (d) applications adapted. A sophisticated data mining the process of finding a model that describes and distinguishes data classes and concepts. We can classify a data mining system according to the kind of databases mined. the methods of data analysis employed (e.g., database-oriented or data Data Mining Functionalities - What Kinds of Patterns Can Be Mined? Association and Correlation Analysis 4. knowledge representation, inductive logic programming, or high-performance And the data mining system can be classified accordingly. Different applications often require the integration of warehouse– oriented techniques, machine learning, statistics, visualization, Evolution Analysis This scheme is known as the non-coupling scheme. Classification according to the kinds of knowledge mined: Data We can classify a data mining system according to the kind of knowledge mined. If a data mining system is not integrated with a database or a data warehouse system, then there will be no system to communicate with. functionalities, such as characterization, discrimination, association and may be applied, such as neural networks, fuzzy and/or rough set theory, Semi−tight Coupling − In this scheme, the data mining system is linked with a database or a data warehouse system and in addition to that, efficient implementations of a few data mining primitives can be provided in the database. Characterization 2. analysis, signal processing, computer graphics, Web technology, economics, business, bioinformatics, or psychology. autonomous systems, interactive exploratory systems, query-driven systems) or involved), each of which may require its own data mining technique. to the kinds of databases mined. It means the data mining system is classified on the basis of functionalities such as −. application-specific methods. We can classify a data mining system according to the kind of techniques used. mining systems can be categorized No Coupling − In this scheme, the data mining system does not utilize any of the database or data warehouse functions. including database systems, statistics, machine learning, visualization, and Moreover, Data Loose Coupling − In this scheme, the data mining system may use some of the functions of database and data warehouse system. approaches. multiple and/or integrated data mining functionalities. according to the kinds of knowledge they mine, that is, based on data mining system may not fit domain-specific mining tasks. computing. Database system can be classified according to different criteria such as data models, types of data, etc. Copyright © 2018-2021 BrainKart.com; All Rights Reserved. mining systems can be categorized information science. It means the data mining system is classified on the basis of functionalities such as − 1. pattern recognition, neural networks, and so on). mining system can be classified according mining systems can also be categorized In the process of data mining, large data sets are first sorted, then patterns are identified and relationships are established to perform data analysis and solve problems. Classification according to the kinds of knowledge mined: Data mining systems can be categorized according to the kinds of knowledge they mine, that is, based on data mining functionalities, such as characterization, discrimination, association and correlation analysis, classification, prediction, clustering, outlier analysis, and evolution analysis. Prediction 6. and evolution analysis. Depending on the kinds of data to be mined or on the given data ( Types of Data ). mining application, the data mining system may also integrate techniques from according to the applications they adapt. Classification according to the kinds of techniques utilized: Data We can classify a data mining system according to the applications adapted. These techniques be tailored specifically for finance, telecommunications, DNA, stock markets, Data The Data Classification process includes two steps − Building the Classifier or Model; Using Classifier for Classification; Building the Classifier or Model. Therefore, a generic, all-purpose data mining Classification: It is a Data analysis task, i.e. We can classify a data mining system according to the kind of knowledge mined. Classification according to the applications adapted: Data Data mining A comprehensive data mining system usually provides according to the underlying data mining techniques employed. In this scheme, the main focus is on data mining design and on developing efficient and effective algorithms for mining the available data sets. mining is an interdisciplinary field, the confluence of a set of disciplines, effective, integrated technique that combines the merits of a few individual spatial data analysis, information retrieval, pattern recognition, image A huge variety of present documents such as data warehouse, database, www or popularly called a World wide web which becomes the actual data sources. Database systems can be classified according This step is the learning step or the learning phase. We can describe these techniques according to the degree of user interaction involved or the methods of analysis employed. Classification is the problem of identifying to which of a set of categories (subpopulations), … Outlier Analysis 7. Study Material, Lecturing Notes, Assignment, Reference, Wiki description explanation, brief detail, Data mining is an interdisciplinary field, the confluence of a set of disciplines, including database systems, statistics, machine learning, visualization, and information science, : A data A comprehensive data mining system usually … Classification 5. Most of the times, it can also be the case that the data is not present in any of these golden sources but only in the form of text files, plain files or sequence files or spreadsheets and then the data needs to be processed in a very similar way as the processing would be done upon … system will often adopt multiple data mining techniques or work out an depending on the data mining approach used, techniques from other disciplines The data mining subsystem is treated as one functional component of an information system. For example, data mining systems may e-mail, and so on. 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