Main framework of proposed semantic data mining
A Proposed Data Mining Framework for Higher Education System
... how data mining and how it could support e-learning processes and develop the education system via using several techniques and ...using data mining ...the data mining techniques ...
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Semantic Analytical Reports: A Framework for Postprocessing Data Mining Results
... of data mining results can provide valuable insight on the problem being ...on semantic web technologies. The framework input is constituted by PMML and description of background ...a ...
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A Proposed Framework for Arabic Semantic Annotation Tool
... i.e., a few sentences long, creates a summary for Web content and expresses the significance of each source. In other words, an annotation is further information in a document that identifies or expresses the semantics ...
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Relational and Semantic Data Mining for Biomedical Research
... of semantic data mining is illustrated in Figure ...The proposed semantic data mining methodology enables the generation of descriptive rules explaining the instances of a ...
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A Graph-based Approach for Semantic Data Mining
... or “located in ” relationship. However, meta semantics such as domain/range and cardinality constraints are not so straightforward to be modeled. One possible approach that can be used to enhance the ability of handling ...
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PackPlay: Mining Semantic Data in Collaborative Games
... two main questions for such systems: first, will overall throughput increase compared to tra- ditional methods of annotating, such as the man- ual construction of the Genia Corpus? Second, how accurate are the ...
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PREDICTIVE DATA MINING FRAMEWORK FOR MEDICAL DATA
... predictive data, and present a framework which will work on the cross platform to show data classified ...of data mining, to find various selective features, classification techniques ...
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AD-HOC DATA-MINING FRAMEWORK FOR DATA
... A data warehouse is a relational database that is designed for query and analysis rather than for transaction ...historical data derived from transaction data, but it can include data from ...
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Using Text Mining to Infer Semantic Attributes for Retail Data Mining
... structured data source but the constructed knowledge base was not used to make any ...WebKB framework by creating a knowledge base consist- ing of companies and associated features such as address, phone ...
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A Robust Framework for Mining YouTube Data
... eliminated. The combination of these two problems can significantly influence the performance of the proposed framework in terms of time efficiency, i.e., increased latency. The latency is not noticed until ...
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A Proposed Classification of Data Mining Techniques in Credit Scoring
... Keywords Data mining, credit risk management, credit scoring, literature ...credit data in order to saving time and reduction ...been proposed for credit risk evaluation. Among all existent ...
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Exploiting semantic web knowledge graphs in data mining
... The proposed approaches should still be able to make good recommendations on such graphs, because we use IDF to weight the edges, ...on data from any domain/s without the need for manual feature ...
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Knowledge-based Data Mining Using Semantic Web
... the data over web in a disciplined manner. In data mining over web, the accuracy of selecting necessary data according to user demand and pick them for output is considered as a major ...
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An Extensible Architecture for Wiki-Enabled Semantic Data Mining
... the proposed approach, we utilize the latter for a REST-based approach us- ing the KnowWE-RIP ...tic mining options by utilizing background knowledge from the ...the data using standard tools, then ...
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Automated Web Data Mining Using Semantic Analysis
... In this paper, we proposed a novel technique to perform automatic data extraction. There are three different features between our method and existing automatic extraction techniques: First, we just need a ...
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A data mining framework to analyze road accident data
... accident data analysis to identify the main factors associ- ated with a road and traffic ...accident data makes the analysis task difficult. Data segmentation has been used widely to overcome ...
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Synthetic chemicals used in mining operations: a proposed risk management framework
... of data. The uncertainty scores are not only added if there are no data available for a specific endpoint, and also depend on data ...measured data are preferred over calculated ...measured ...
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The Application of a Semantic Based Process Mining Framework on a Learning Process Domain
... Keywords—process mining, process models, ontology, semantic annotation, reasoner, AI, event logs ...increasing data about various ...process mining, means there is also need for tools ...
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A Novel Data Mining Algorithm for Semantic Web Based Data Cloud
... the data mining approach applied to the data cloud spread across the globe and connected to the ...Sector/Sphere framework integrated to association rule based data ...for data ...
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Semantic data mining and linked data for a recommender system in the AEC industry
... Standard data mining algorithms usually use statistical models on data to discover patterns and provide action- able ...cases, data is treated as meaningless numbers and attribute ...words, ...
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