semi-structured data model
Evaluations of Conceptual Models for Semi structured Database System
... the semi structured data model properties into a unified frame ...inter model comparison, translation, fundamental toward easy mediation between heterogeneous data ...of ...
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Comparison of Performance in Text Mining Using Text Categorization of Semi Structured Data
... Decision tree is made a decision rule to classify the function. In supervised learning problem it is sometimes important to the prediction of the final model and analysis even more emphasis on predictive analysis ...
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An estimation model for hypertension drug demand in retail pharmacies with the aid of big data analytics
... external data to the overall company’s commercial data environment is quite challenging as the use of intelligent tools that can measure the influence of exogenous variables is not yet a common ...modelling ...
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Performance Evaluation of Redis and MongoDB Databases for Handling Semi structured Data
... this data model, the data is stored into two sections as key-value pair where the string that display the key and the real information that displays the ...The data model structure is ...
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CONTEXT BASED INTER STRUCTURAL MINING ON SEMI STRUCTURED DATA USING VECTOR SPACE MODEL
... a semi structured data because it does not conform to the formal data ...Space Model is used for mining the XML documents which gives the similarity of a document vector to a query ...
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Supervised Models for Measuring Performance At E Learning Environmen
... big data modeling [10] (methods to move with voluminous and dynamic data) E-learning data becomes Big data as it describes a huge volume of both structured and unstructured ...
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Extracting the Attributes of Entities from Semi Structured Information Using XSearch
... for semi-structured data exchange over distributed information sources are the Object Exchange Model, the Extensible Markup Language and the Resource Description Framework ...(RDF). ...
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Fusion Architecture of Database for Large and Diverse Dataset
... the data model used for a standard storage system is a relational data ...store data. Recent advancements in the nature and behavior of data in terms of volume, velocity and variety ...
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Multidimensional Modeling of Semi-Structured Data: XML Documents and Tweets
... the semi-structured data in a simple way; ...descriptive data. In this paper, we propose a new generic multidimensional model dedicated to the semi-structured data ...
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An Analysis and Implication of Data Mining Techniques using Semi structured Data towards clinical data sets
... Clustering is a process of grouping similar data items or similar objects. Clustering algorithm is classified as Flat algorithms and Hierarchical algorithms. The flat algorithm always starts with random ...
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Data value storage for compressed semi-structured data
... the data contained within the compressed files. However, an entire data structure is often not required, with users typically only interested in a small subset of the ...the data structure of interest ...
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An analysis and Implication of Data Mining Techniques using Semi structured Data towards clinical data sets
... Clustering is a process of grouping similar data items or similar objects. Clustering algorithm is classified as Flat algorithms and Hierarchical algorithms. The flat algorithm always starts with random ...
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Collaborative Filtering Algorithm Based on Weighted Synthesis Method of Eigenvalues Factors
... structure, semi-structured and unstructured data record, construct user-project characteristic factor weighting model, calculate the weight and value of user-project core characteristic ...
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Abstract In this era data are continuously acquired for a variety of purposes. Data are generated
... era data are continuously acquired for a variety of purposes. Data are generated from large-scale simulations, astronomical observatories, high-throughput experiments, or high- resolution ...Big ...
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Do parent and child outcome expectations align when attending a weight management programme?
... AdultsIntervention: and Weigh to Go YP – Semi-structured Early Factors associated with earlyinterviews Young people – Participatory Research Methods and semi-structured interviews engage[r] ...
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Title: EXTRACT AND ANALYSIS OF SEMI STRUCTURED DATA FROM WEBSITES AND DOCUMENTS
... In this paper, we implemented a new vision to gather semi-structured data from web pages. The problem is well known and is been performed by renowned researchers, of which existing techniques are ...
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Reithinger, Florian (2006): Mixed models based on likelihood boosting. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Mixed Model approach to smooth components (MM) from study 1 is compared with BoostMixed for 30 ...mixed model approach has higher ...Mixed Model fit did not work and therefore, no values are shown in ...
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An Assessment on the Impact of Road Traffic Accidents on Human Security in Gedeo Zone Ethiopia
... 2000). Data from the WHO (2004) show that, of those injured severely enough to require attention from a health facility, almost one quarter had traumatic brain injury and one tenth had open ...
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Title: Patent Trend Analysis and Future Prediction
... of data mining as the tools are designed to handle unstructured or semi structured data ...sets. Data mining mainly focuses on analysing structured ...
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Unified Big Data Lambda Architecture with Hadoop / Flume / Spark SQL, Streaming / Scala / Cassandra
... Big Data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing ...Big Data ...
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