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relational data model example

Tài liệu Activity 4.2: Creating a Logical Data Model ppt

Tài liệu Activity 4.2: Creating a Logical Data Model ppt

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... Activity 4.2: Creating a Logical Data Model In this activity, you will use the skills learned in this module to define the relationships within a logical data model and produce a sample ER diagram ... Activity 4.2: Creating a Logical Data Model 19 Exercise 2: Determining Cardinality and Existence In this exercise, you will ... activity, you will be able to: ! Identify relationships between entities. ! Create a logical data model. Before You Begin This activity will take place in small groups with a class discussion...
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Tài liệu NoSQL Database Technology: Post-relational data management for interactive software systems docx

Tài liệu NoSQL Database Technology: Post-relational data management for interactive software systems docx

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... their own database technologies. These “NoSQL” databases, each eschewing the relational data model, are a far better match for the needs modern interactive software systems. NOSQL DATABASE ... DenormalizingBefore storing data in an RDBMS, a schema must be created dening precisely what data can be stored in the database and the relationships between data elements. Data is decomposed into ... easier and allows for rapid changes in the data model. Of course, just about all relational database functionality is lost in the process (though if the database is sharded, much of the functionality...
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Báo cáo khoa học: "A Flexible Stand-Off Data Model with Query Language for Multi-Level Annotation" ppt

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... associative relations representing e.g.coreference.2 The Data Model We propose a stand-off data model implemented inXML. The basedata is stored in a simple XML file1The current release version ... token queries exactly one basedata element(i.e. word) or one markable.3.1 Query TokensBasedata elements can be queried by matching reg-ular expressions. Each basedata query token con-sists ... of the relationsof their basedata elements.While it has become common practice to usethe stand-off mechanism to relate several annota-tion levels to one basedata file, it is also not un-common...
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Báo cáo khoa học: "Towards A Modular Data Model For Multi-Layer Annotated Corpora" docx

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... exists.2 Data modelsThere are three purposes data models can serve.The first purpose is context suitability. A data model used for this purpose must reflect as wellas possible the data the user ... lowlevel data storage model rather than a high levelannotation data model. A high level query language is necessary to get agood user acceptance and to achieve independencefrom lower level data models ... anno-tated multi-modal data. NXT is based on the NITEObject Model (NOM) which is an extension of theXML data model. NOM features a similar separa-tion of tiers as the PACE-Ling data model, but ismore...
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A relational SQL Example

A relational SQL Example

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... LOCATION_ID 8.1 Relational Database Analysis Relational database analysis is a process whereby you identify and classify into groups the information you need to store in a database. In addition, ... three options as to how you use the database: ã Use the database strictly as a relational database storing information in tables. ã Use tables to store your data and use object views and INSTEAD ... book covers option one, relational SQL. Chapter 8. A Relational SQL Example Before starting down the path on how to use JDBC with Data Definition Language (DDL) to create database objects such...
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An Object-Relational SQL Example

An Object-Relational SQL Example

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... can transform our relational model from that shown in Chapter 8 into an object model. We'll then look at how we can transform our relational database into an object database by implementing ... Oracle database objects. So let's start our journey into object -relational SQL with an overview of Oracle's object -relational technology. Chapter 14. An Object -Relational SQL Example ... five entities and create object views to present our relational database as an object -relational database. Seeing that we are now looking at the data from an object perspective, we have two ways...
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Indexing XML Data Stored in a Relational Database pot

Indexing XML Data Stored in a Relational Database pot

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... the relational data model in the general case. XML data is hierarchical and may have a recursive structure; relational databases provide weak support for hierarchical data (modeled as foreign ... XML data and a mapping of XML data between the relational and XML forms. The XML data model, however, has characteristics that make it very hard if not practically impossible to map to the relational ... platform for the XML data model and serves as the basis for interoperability between relational and XML data. Whereas query processing on XML data shredded into one or more relational tables...
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APPLICATION OF THE STIRLING MODEL TO ASSESS DIVERSITY USING UIS CINEMA DATA docx

APPLICATION OF THE STIRLING MODEL TO ASSESS DIVERSITY USING UIS CINEMA DATA docx

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... diversity in the film industry based on the UNESCO database and on an original methodology. This section highlights some proposals for improving the database. This report stresses the importance ... that prepare more ambitious products. 3.2 Improvement to the initial model i) Dealing with demand The Stirling model focuses on the production side only, which is probably due to the ... language, geographical origin and genre of films). Given the lack of statistical data on the genres of films in the UIS Database, this last form of categorization had to be discounted. A 333...
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Báo cáo khoa học: "Intelligent Selection of Language Model Training Data" ppt

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... languagemodels, for each sentence of the textsource used to produce the latter language model. We show that this produces betterlanguage models, trained on less data, thanboth random data selection ... language model a separate feature function inthe overall translation model. The normal practice when using multiple lan-guages models in machine translation seems to beto train models on as much data ... between the language model from that data source and the desired application output by intel-ligently selecting a subset of the available data aslanguage model training data. This not only pro-duces...
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Báo cáo khoa học: "A DOM Tree Alignment Model for Mining Parallel Data from the Web" doc

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... the DOM tree alignment model, sen-tence alignment model, and candidate web page pair verification model are introduced. 4 DOM Tree Alignment Model The Document Object Model (DOM) is an appli-cation ... web parallel data mining scheme is presented. Three component technolo-gies, the DOM tree alignment model, the sen-tence aligner, and the candidate parallel page verification model are presented ... parallel data available on the web have been an important knowledge source for machine translation. For example, Hong Kong Laws, an English-Chinese Parallel corpus released by Lin-guistic Data...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

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... the database to gather count matrix and compute its Gini index–Computationally Inefficient! Repetition of work. © Tan,Steinbach, Kumar Introduction to Data Mining 12 Apply Model to Test Data RefundMarStTaxIncYESNONONOYes ... Tan,Steinbach, Kumar Introduction to Data Mining 3 Illustrating Classification Task © Tan,Steinbach, Kumar Introduction to Data Mining 13 Apply Model to Test Data RefundMarStTaxIncYESNONONOYes ... AttributesTraining Data Model: Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining 8 Decision Tree Classification TaskDecision Tree © Tan,Steinbach, Kumar Introduction to Data Mining...
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Báo cáo " On the detection of gross errors in digital terrain model source data " pdf

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... Basedonthetestresults,theauthorshavemadeconclusionsaboutthereliabilityandeffectivenessofthemethodfordetectinggrosserrorsinDTMsource data. Keywords:Digitalterrain model (DTM);DTMsource data; Grosserrordetection;Interpolation.1.Introduction*Sinceitsorigin inthe late 1950s,the DigitalTerrain Model ... in DTM source data can be detected by comparing themeasured height of a  DTM data point with anestimated heightby interpolation fromneighboring data points. This ... Onthedetectionofgrosserrorsindigitalterrain model source data TranQuocBinh*CollegeofScience,VNUReceived10October2007;receivedinrevisedform03December2007Abstract. Nowadays, digital terrain models (DTM)...
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Báo cáo " Calibration and verification of a hydrological model using event data " ppt

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... evaporation data as input for the model. The daily evaporation data at Khe Sanh station were used as inputs for the model. For the model calibration and verification, discharge data is required. ... The rainfall-runoff model was adopted in this study is MIKE-NAM model. There are nine main parameters needed to calibrate and verify in this model. Data required by the model include rainfall, ... (event) data. The common way is using the continuous simulation with the long time series data. Compared with the continuous long time series of data, calibration using the event data is more...
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