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General Terms Algorithms 1. MINING LINKED DATA
"... Association rule mining has been widely studied in the context of basket analysis and sale recommendations [1]. In fact, the concept can be applied to any domain with many items or events in which interesting relationships can be inferred from co-occurrence of those items or events in existing subse ..."
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subsets (transactions). The increasing amount of Linked Open Data (LOD) in the World Wide Web raises new opportunities and challenges for the data mining commu-nity [5]. LOD is often represented in the Resource Descrip-tion Framework (RDF) data model. In RDF, data is repre-sented by a triple structure
Integrating Web 2.0 Data into Linked Open Data Cloud via Clustering
"... Abstract. In this position paper, we claim that useful information mined from social tagging systems can be published and shared as Linked Data, in order to be further exploited. The proposed approach aims: i) to be applied on any social tagging platform, and ii) utilize information that concerns th ..."
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Abstract. In this position paper, we claim that useful information mined from social tagging systems can be published and shared as Linked Data, in order to be further exploited. The proposed approach aims: i) to be applied on any social tagging platform, and ii) utilize information that concerns
Towards Understanding the Changing Web: Mining the Dynamics of Linked-Data Sources and Entities [work in progress]
"... A huge amount of content found on the Web is dynamic by its nature, particularly with the rise of Web 2.0 and beyond. This is of special interest for the Semantic Web community, not only but particularly regarding resources on the Linked Open Data (LOD) Web. However, the dataset dynamics of the LOD ..."
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Cited by 6 (4 self)
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A huge amount of content found on the Web is dynamic by its nature, particularly with the rise of Web 2.0 and beyond. This is of special interest for the Semantic Web community, not only but particularly regarding resources on the Linked Open Data (LOD) Web. However, the dataset dynamics of the LOD
Science News Chronic Illness Linked To Coal- mining Pollution, Study Shows
"... ScienceDaily (Mar. 27, 2008) — Pollution from coal mining may have a negative impact on public health in mining communities, according to data analyzed in a West Virginia University research study. “Residents of coal-mining communities have long complained of impaired health, ” Michael Hendryx, Ph. ..."
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ScienceDaily (Mar. 27, 2008) — Pollution from coal mining may have a negative impact on public health in mining communities, according to data analyzed in a West Virginia University research study. “Residents of coal-mining communities have long complained of impaired health, ” Michael Hendryx, Ph
Stalker, a Multilingual Text Mining Search Engine for Open Source Intelligence
"... Abstract. Open Source Intelligence (OSINT) is an intelligence gathering discipline that in-volves collecting information from open sources and analyzing it to produce usable intelli-gence. The international Intelligence Communities have seen open sources grow increasingly easier and cheaper to acqui ..."
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Abstract. Open Source Intelligence (OSINT) is an intelligence gathering discipline that in-volves collecting information from open sources and analyzing it to produce usable intelli-gence. The international Intelligence Communities have seen open sources grow increasingly easier and cheaper
Socio – Economic Baseline Survey For Proposed Mining Of Niobium And Rare Earth Elements At Mrima Hill, Kwale County.
"... The overall aim of this survey is to provide baseline information on the socio-economic conditions of the communities living in Dzombo Location, the environs of Mrima Hill. The survey seeks to enhance understanding of the livelihood strategies these communities employ in meeting their livelihood nee ..."
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needs. It also seeks to improve understanding of the problems they face in their efforts to secure food, education, health and a sustainable living. It further seeks to understand the perceptions of these communities with respect to the economic/livelihood opportunities linked to the proposed mining
COMMENTARY Open Access Reporting back environmental exposure data and free choice learning
"... Reporting data back to study participants is increasingly being integrated into exposure and biomonitoring studies. Informal science learning opportunities are valuable in environmental health literacy efforts and report back efforts are filling an important gap in these efforts. Using the Universit ..."
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in research and leveraging their research experience to meet personal and community environmental health literacy goals. Observations from report back activities conducted in a mining community support the idea that reporting back biomonitoring data reinforces free-choice learning and this activity can lead
USING SPATIAL DATA MINING TECHNIQUES TO REVEAL VULNERABILITY OF PEOPLE AND PLACES DUE TO OIL TRANSPORTATION AND ACCIDENTS: A CASE STUDY OF ISTANBUL STRAIT
, 2006
"... Public and private organizations have legacy or operational spatial databases or non-spatial databases, which are also somehow linked to a spatial database or a spatial meaning. In addition to mission related databases, these organizations either have or access several databases comprising such as c ..."
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such as census, economic, security, image, multimedia, statistical information for planning, intelligence, decision and policy making. The extended size of these data sets makes it difficult to search for meaningful patterns or relationships among data. Data mining is a technique allows researchers to overcome
USING SPATIAL DATA MINING TECHNIQUES TO REVEAL VULNERABILITY OF PEOPLE AND PLACES DUE TO OIL TRANSPORTATION AND ACCIDENTS: A CASE STUDY OF ISTANBUL STRAIT
, 2006
"... Public and private organizations have legacy or operational spatial databases or non-spatial databases, which are also somehow linked to a spatial database or a spatial meaning. In addition to mission related databases, these organizations either have or access several databases comprising such as c ..."
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such as census, economic, security, image, multimedia, statistical information for planning, intelligence, decision and policy making. The extended size of these data sets makes it difficult to search for meaningful patterns or relationships among data. Data mining is a technique allows researchers to overcome
RESEARCH ARTICLE Open Access Towards an Age-Phenome Knowledge-base
"... Background: Currently, data about age-phenotype associations are not systematically organized and cannot be studied methodically. Searching for scientific articles describing phenotypic changes reported as occurring at a given age is not possible for most ages. Results: Here we present the Age-Pheno ..."
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, we extracted instances of age-phenotype associations from journal abstracts related to non-insulin-dependent Diabetes Mellitus. In addition, links between age and phenotype were extracted from clinical data obtained from the NHANES III survey. The knowledge stored in the APK is made available
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