Systems for data science
Possibilistic Similarity Measures for Data Science and Machine Learning Applications
... computer science and multimedia and the master’s degree in computer science and multimedia from the Higher Institute of Computer Science and Mul- timedia, Sfax, in 2011 and 2014, ...Platform ...
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The data science machine : emulating human intelligence in data science endeavors
... Introduction Data science is an endeavor of deriving insights, knowledge, and predictive models from ...other. Data collection and assimilation methods are sometimes ...of systems and software ...
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Complex Algorithms for Data-Driven Model Learning in Science and Engineering
... used for long in the field of computer vision and are now being increasingly used in mechanics and material ...Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests,” use clustering and ...
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Ontology-based methods for analyzing life science data
... infrastructure for performing large scale pharmacoepidemiology studies based on French national medico- administrative databases such as SNIIRAM (Syst` eme National d’Information Inter-R´ egime de l’Assurance ...
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Designing Computer-Supported Complex Systems Curricula for the Next Generation Science Standards in High School Science Classrooms
... utility for students in terms of the scientific knowledge and practices they are engaged in as well as ensuring that teachers find relevance and utility in their ...NGSS. For example, each unit required ...
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Data Science and AI-Based Optimization in Scientific Programming
... of data provided by measurement systems, such the vehicle-mounted ground penetrating radar (GPR), which is the most relevant technology ...fails for subgrade defects because of such a ...method ...
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Dynamic Logic for Data-aware Systems: Decidability Results
... extensions for the present con- ...computer science, with a steady stream of fundamental contributions [Harel, 1984; Harel et ...computer science [B¨orger et al., 1997]. For first- order ...
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Using Active Data to Provide Smart Data Surveillance to E-Science Users
... workflow systems such as Taverna [2], Galaxy [3], and LONI [4] have been used in many domains including bioinformatics, genomics, astronomy, and medical ...These systems allow researchers to orchestrate a ...
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Data science strategies for real estate development
... external data, data platform (63 out of 178) is the most popular style of data delivery compared to data in file or report form (30 out of 178) or marketplace (25 out of ...preference ...
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Decibel : transactional branched versioning for relational data systems
... 2.5.2 Data Generation and Loading In our evaluation, generated data is first loaded and then ...experiments). For each branching strategy described earlier, we vary the dataset size and number of ...
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The Agnostic Structure of Data Science Methods
... calls for a new type of math- ematization in agnostic science, where mathematical methods are forced on the problem, ...the data for further analysis by general purpose techniques that are ...
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Trends integration process as input data for Kansei Engineering Systems
... Procedure for drawing-up trend boards The originality of the approach lies in the identification of sociological end values and in the use of various domains of influence (See Figure 4, first step, and Figure 5 on ...
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Rewriting-Based Query Answering for Semantic Data Integration Systems
... in systems integrating heterogeneous data sources follow- ing the local-as-view approach [31, 14, ...each data source contributes to the global ...
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Privacy Support for Sensitive Data Sharing in P2P Systems
... 2) for owners and ...allowed data in the requester zone of Figure 2) and how they are constrained to respect the privacy preferences of doctors during the data ...
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Science, technique et société : le procès socio-scientifique opéré par le Big Data en science bio-informatique
... within data-driven science is to use guided knowledge discovery techniques to identify potential questions (hypotheses) worthy of further examination and testing » (Kitchin, 2014, ...
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DataSToRM: Data Science and Technology Research Environment
... Laboratory Supercomputing Center infrastructure, which will enable development of Department of Defense applications that can leverage both traditional computing resources, such as central processing units or graphics ...
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Textual Data Science
... • Relative spatial feature (R_SF) one spatial with at least one SF (ex: in the south of the city of Montpellier ).. An R_SF is defined as <( spatial relation ) 1..* , A_SF > or[r] ...
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Priority-Independent Rewrite Systems for Pointer-based Data-Structures
... designed for computing the normal forms and narrowing algorithms can be used to solve ...algorithms for sorting or reversing a list) are difficult (or even impossible) to specify by term rewrite rules ...
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Agnostic Science. Towards a Philosophy of Data Analysis
... in data analysis is tem- porary and depends on a heuristic exigency in the face of new difficult prob- ...characterizes data analysis to a large ...look for specific techniques capable to solve some ...
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A Control Approach for Performance of Big Data Systems
... be for example a time-variant, non-linear hybrid model of very large dimension, of which practical value is ...MapReduce systems varies from one distribution to the other and even under the same ...
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