In Personality Computing, one of the major goals is to estimate the personality of an individual by making use of computational techniques. Among the existing models that classify personality traits, the Big-5 factor ...
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This paper shows a new approach for anomaly detection by combining the extraction of so-called triples consisting of a subject, predicate, and object using dynamic anomaly-detection. First, the methods used to extract...
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We present our development of the multilingual machine translation system for the large-scale multilingual machine translation task at WMT 2021. Starting form the provided baseline system, we investigated several tech...
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A semantic tableau method, called an argumentation tableau, that enables the derivation of arguments, is proposed. First, the derivation of arguments for standard propositional and predicate logic is addressed. Next, ...
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Image repositories often contain a large amount of metadata about their content. However many resources, such as photographs, have inherent aesthetic qualities that can be difficult to describe in a semantically consi...
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The reasons for the lack of uptake of the semantic web amongst ordinary users can be attributed to technology perception, comprehensibility and ease of use. To address these three problems, we believe that the interfa...
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The reasons for the lack of uptake of the semantic web amongst ordinary users can be attributed to technology perception, comprehensibility and ease of use. To address these three problems, we believe that the interfaces to ontology management tools will need to be engineered in such a way as they disappear into the background from the ordinary person's perspective. The majority of the state of the art approaches to ontology mapping relies on the user being ontologically aware. In contrast, this paper reports upon an approach to use 'tagging' as a means of ontology mapping to support ordinary people.
This paper introduces DREIFLUSS, an innovative, minimalist approach designed to tackle the Column Type Annotation (CTA) and Column Property Annotation (CPA) tasks in the SemTab challenge. DREIFLUSS efficiently employs...
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data partitioning techniques are pivotal for optimal data placement across storage devices,thereby enhancing resource utilization and overall system ***,the design of effective partition schemes faces multiple challen...
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data partitioning techniques are pivotal for optimal data placement across storage devices,thereby enhancing resource utilization and overall system ***,the design of effective partition schemes faces multiple challenges,including considerations of the cluster environment,storage device characteristics,optimization objectives,and the balance between partition quality and computational ***,dynamic environments necessitate robust partition detection *** paper presents a comprehensive survey structured around partition deployment environments,outlining the distinguishing features and applicability of various partitioning strategies while delving into how these challenges are *** discuss partitioning features pertaining to database schema,table data,workload,and runtime *** then delve into the partition generation process,segmenting it into initialization and optimization stages.A comparative analysis of partition generation and update algorithms is provided,emphasizing their suitability for different scenarios and optimization ***,we illustrate the applications of partitioning in prevalent database products and suggest potential future research directions and *** survey aims to foster the implementation,deployment,and updating of high-quality partitions for specific system scenarios.
Association rules are the very valuable kind of law in data mining. The fitness of time is seldom illustrated by traditional association rules, which losses a number of useful implicit rules. On the basis of further s...
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