A Domain-driven Framework for Trajectory Data Mining
Data Driven Data Mining to Domain Driven Data Mining
... : Data Mining, Domain driven data mining, ...years, data mining is a field which becomes the most active, dynamic and lively area in information and communication ...
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Domain-Driven Data Mining: A Practical Methodology
... existing data mining methodology ...solve domain-specific problems and can be taken as grounds for performing effective ...make domain- driven data mining effective, user ...
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Adaptive Incremental Framework for Performance- Driven Data Mining
... a framework for performance-driven data ...Many data mining tasks, such as classification, prediction or estimation, require accurate ...a data mining algorithm during the ...
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Frequency-domain data-driven control design in the Loewner framework
... In this paper, we are interested in the latter case. Indeed, direct methods are particularly interesting when a model of the system would be too time-consuming, too complex or too costly to obtain. Another application is ...
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A Framework of Business Intelligence-driven Data Mining for e-business
... four-layer framework are shown in Figure ...new data mining methodology combining knowledge-driven data mining and method- driven data ...the framework is ...
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An information-driven framework for image mining
... 3.2 Object Level The focus of the Object level is to identify domain-specific features such as objects and homogeneous regions in the images. While a human being can perform object recognition effortlessly and ...
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An adaptive personnel selection model for recruitment using domain-driven data mining
... using data mining approaches, and selection models containing selection rules were ...– driven and domain–driven data mining approach of which domain–driven ...
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Mining Social-Driven Data
... for mining social- driven ...social-driven data, in- cluding blogs, Internet forums, and online auctions, and utilizes common underlying notions of trust and credibility to develop algorithms ...
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Trajectory data mining: A review of methods and applications
... a trajectory into meaningful sub-trajectories required for subsequent ...of trajectory pre-processing tasks can be found in [150]. 3 Trajectory mining methods Similar to the general ...
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DATA MINING IN EDUCATION DOMAIN
... the data and issues pre-designed queries to get the actual ...operates. Data mining on the other hand is completely ...the data to the process and the results are produced depending solely on ...
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A Review of Performance Assessment in Virtual Organization using Domain-Driven Data Mining and Sentiment Analysis
... produces data, which acts as performance indicator for an individual and subsequently impacts on the decision making of the stakeholders as well as ...phenomenological Domain Driven Data ...
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A Survey on a Uniting Framework of Mining Trajectory Forms of various Secular Stiffness
... spatial data the partitioning is done by k-mediods that divides the objects into k groups and iteratively exchange objects between them until the quality of the clusters does not further ...
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A Novel Framework of Data-Driven Networking
... Big data analysis, SDN, CCN, cache management, data-driven ...(ICT) domain are urging the Internet for pervasive accessibility, broadband connection and flexible management, which call for ...
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Periodic pattern mining from spatio-temporal trajectory data
... proposed framework for hierarchical semantic PPM from spatio-temporal ...semantic trajectory with annotated place ...aggregated trajectory nodes with annotated place id might indicate stops where a ...
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Novel method for hurricane trajectory prediction based on data mining
... overall framework of the hurricane trajectory prediction method is shown as ...After data pre-processing, all fre- quent trajectories from 1900 to 2000 in the historical hur- ricane trajectory ...
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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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Model-Driven Technologies for Data Mining Democratisation
... for data mining from scratch and with the help of FLANDM, for four different ...our framework helps reduce around 50% of development ...in data mining by carrying out some empirical ...
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ANALYSIS OF DATA MINING APPLICATION IN EDUCATION DOMAIN
... ABSTRACT Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject ...area. Data warehouses standardize ...
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A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features
... from the mixed approach of suggesting new features using both automated feature relevance analysis through DSA and human domain knowledge. The enriched list of 22 features is used as an input for the next ...
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A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features
... by data mining applications encompass the temporal dimension, as the instances of the problem are occurring in different moments in ...ways. Data mining applications use techniques for ...
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