Semantic Data Mining
Relational and Semantic Data Mining for Biomedical Research
... purpose semantic subgroup dis- covery algorithm ...purpose semantic subgroup discovery systems: SDM-SEGS and SDM-Aleph ...ranked data as well as from labeled data with the use of background ...
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A Graph-based Approach for Semantic Data Mining
... linked data (e.g., RDF) without reference to existing semantic descriptions does not lend itself well to aiding semantic data ...the Semantic Web and pervasive connectivity, an ...
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NetSDM: Semantic Data Mining with Network Analysis
... Second experimental setup. In the second set of experiments, we exploited the corre- lations discovered in the first experimental setup. We used the scores of background knowledge terms to prune the background knowledge. ...
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A semantic partition based text mining model for document classification.
... information mining is the amount of words that are to be processed, but this could be significantly reduced when subsets of the documents are ...consider semantic orientation of words and therefore suffer ...
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Data mining for business intelligence with data integration
... general, data integration of multiple information systems aims at combining selected systems so that they form a unified form a new system and give users the vision of interacting with one single information ...
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Why only data mining? a pilot study on inadequacy and domination of data mining technology
... So data mining is the mace to acquire above the intact ...of data mining to the peaks and that’s ...largest data mining market share product vendors, who are working in ...
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Survey on data mining methods and applications in healthcare domain sector
... The data corresponding to twenty four patients with pneumonia and the image regions corresponding to pneumonia manifestations, known as pulmonary consolidations, have been carefully annotated by ...the data ...
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From mineral mining to data mining: Understanding the global commodity chain of internet communications
... communicative use value, allowing users to potentially communicate with millions of people. Crucially, this also makes it more economically valuable, as advertisers get access to an enormous amount of user-generated ...
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A SURVEY ON DATA MINING FOR SEMANTIC WEB DATA
... of Semantic Data system is to represent the real world as accurately as possible within some data ...of data to give certain meanings like in below example. Semantic data allow ...
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RDF2Vec: RDF Graph Embeddings and Their Applications | www.semantic-web-journal.net
... compete against some of the most promising state of the art approaches for recommendation. A hybrid RS based on Factorization Machines is utilized, namely the ranking factorization machine algorithm available in the ...
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Evaluation of a Similarity Search Method for Human Behavior (Extended LDSD)
... linked data and graph-based data [5] [6] [8] [9][10] throughout the past ...linked data because it is simple to extend and easy to calculate, unlike other similarity ...
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Exploiting semantic web knowledge graphs in data mining
... generalizing data mining rules in order to increase the support while keeping the confidence high ...Habitat data 37 , dealing with customers satisfaction concerning accommodation, for which a ...
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A Novel Data Mining Algorithm for Semantic Web Based Data Cloud
... the Semantic Web over several pages. Consider, e.g., the query for Web Mining experts in a company intranet, where the only explicit information stored are the relationships between people and the courses ...
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Linked Data Based Framework for Tourism Decision Support System: Case Study of Chinese Tourists in Switzerland
... Switzerland is one of the most desirable European destinations for Chinese tourists; therefore, a better understanding of Chinese tourists is essential for successful business practices. In China, the largest and leading ...
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Semantic based sentence ordering with ontology-mining in heterogeneous data using explicit semantic analysis
... allows data integration of different heterogeneous ...mine data in the health sector to uncover knowledge hidden in diverse data ...mine data in the healthcare sector to uncover knowledge ...
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Data Mining for the Masses - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... specific data on each athlete, or even to simply observe whether or not the predictions based on the data are in fact consistent with observable performance on the field, court, or ...more data and ...
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The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data
... argumentation mining is a recent field of study where little has been done on parliamentary data (see ...overview), semantic networks are almost as old as computers themselves, starting with a ...
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Semantic based Information Mining Information from User Input Data
... mediators for distribution and transmission of planned data in an open and partially computerized manner. The target route is identified by the mediator effectively using associations in terms of user demands and ...
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Mining Inter Entity Semantic Relations Using Improved Transductive Learning
... data, researchers have been looking at various learning algorithms exploiting cheaply available unlabeled data (usually in much larger amounts), which aim at minimizing the need for labeled data ...
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Data Mining and Knowledge Management Process
... Abstract— Data mining is well known for acquiring knowledge and information from the larger databases has been recognised by many researches as a key topic in data mining and database systems ...
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