bio ontologies data models nomenclature
Visualizing Data Models
... of querying EF data: retrieving entity data using Entity SQL and accessing objects directly through the Entity Framework’s Object Services layer Chapter 14 Visualizing Data Models 243 Chapter ... application Similar to the Data Source Configuration Wizard demonstrated in Chapter 1, “Introducing ADO.NET 4,” the Entity Data Model Wizard guides you through the database selection and connection ... target database. Built upon standard ADO.NET connection strings, this wizard adds EF-specific metadata keyvalue pairs that help the Framework access the three XML-based modeling layers metadata=res://*/Model1.csdl|res://*/Model1.ssdl|res://*/Model1.msl;...
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Data Models, Datasets, and the ADO.NET Interface
... our database attached, let’s move on now to learn some essentials of datasets 8547ch03final.qxd 8/30/07 4:10 PM Page 55 CHAPTER s DATA MODELS, DATASETS, AND THE ADO.NET INTERFACE Figure 3-4 Database ... http://msdn2.microsoft.com/en-us/library/ system .data. dataset(VS.71).aspx What should you know about datasets? Well, all you have to know is how to create a dataset and a data table inside the dataset Starting in Chapter ... reporting project makes use of a dataset The data table inside the dataset is identical in 55 8547ch03final.qxd 56 8/30/07 4:10 PM Page 56 CHAPTER s DATA MODELS, DATASETS, AND THE ADO.NET INTERFACE...
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Health and Wealth of Elderly Couples: Causality Tests Using Dynamic Panel Data Models pot
... panel data models incorporating unobserved heterogeneity While Adams et al tests reject the hypothesis of no causality from wealth to husband's or wife's health, the tests in the dynamic panel data ... Conditions and Moment Restrictions in Dynamic Panel Data Models, Journal of Econometrics, 87, pp 115-143 [12] Chamberlain, G (1984): Panel Data, in Handbook of Econometrics, Vol 2, eds Z Griliches ... Health and Wealth of Elderly Couples: Causality Tests Using Dynamic Panel Data Models Pierre-Carl Michaud CentER, Tilburg University and IZA Bonn Arthur van Soest RAND Corporation,...
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Báo cáo khoa học: "Acquisition of Conceptual Data Models from Natural Language Descriptions" doc
... dependencies among data objects are specified rigorously, all events in the world cart be recorded in the database by the assertion or retraction of 'sentences' from the information base (database) Further, ... entities to build simple ER models This is done by examining the attributes of the relational database predicates in the parse tree The existence of a relationship between two database relations, is ... Engineering Workbench, which uses such models as input to a process that ultimately leads to automatic code generation Using this software, the analyst creates a model of data objects and relationships,...
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Query Languages and Data Models for Database Sequences and Data Streams doc
... SIAM Int Conference on Data Mining, pages 130–141, 2003 [34] Carlo Zaniolo, Chang Richard Luo, Y Law, and Haixun Wang Incompleteness of database languages for data streams and data mining: the problem ... data model to be used for data streams: for instance, the presence of time stamps is required for query completeness The paper is organized as follows In the next section, we survey several data ... such as blocking operators, data model, and query power that are most significant for this paper The Tapestry project was the first to model data streams as append-only databases supporting continuous...
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microsoft press excel 2013, building data models with powerpivot
... description of a data model? The data model in Excel is, in reality, a PowerPivot data model Whenever you add a table to the data model, you are really adding the table to the PowerPivot database that ... referred to as the “Excel data model.” The two terms relate to the very same technology: the Excel data model is, in reality, a PowerPivot database; and the PowerPivot database is stored inside ... holding among them is a data model Excel 2013 introduced the concept of a data model as one of the tools available to users to analyze data Each Excel table can belong to the data model: it is automatically...
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designing data services and data models
... Identifying Data- Related Use Cases and Data Requirements Objectives Before You Begin Exercise 1: Identifying Use Cases that Require Data Exercise 2: Identifying Hidden Data ... Normalizing Data 25 Objectives 25 Before You Begin 25 Exercise 1: Creating a Normalized Data Design 26 Activity 6.1: Translating the Logical Data Design ... You Begin 29 Exercise 1: Deriving a Physical Data Design from a Logical Data Design 30 Activity 6.2: Optimizing a Physical Data Design 35 Objectives 35 Before You...
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DATA MODELS ppsx
... with data Ans4 Database manager Ans5 Data independence ©NIIT Data Models Relational Database Design Lesson / Slide of 14 1B.4 DATA MODELS Data Models Data Models • • • ©NIIT A data model is a ... 1B.3 Data Models Lesson / Slide of 14 Relational Database Design Data Models Solutions Ans1 Requirements definition Ans2 End user Ans3 Select a DBMS, purchase it, and populate the database with data ... description of the organization of data in a database The data model also describes the relationship among data and any constraints that have to be defined on the data Data models can broadly be classified...
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Báo cáo sinh học: " Heritability of longevity in Large White and Landrace sows using continuous time and grouped data models" ppsx
... grouped data models was comparable to continuous time models Based on these results and because grouped data models reflect better the economical needs in meat animals, we conclude that grouped data ... and animal models with Weibull and grouped data models in both breeds They ranged from 0.08 to 0.14 (s.e 0.0120.026) in Weibull and from 0.08 to 0.13 (s.e 0.012-0.025) in grouped data models in ... saved in Austria, we could not include them into the models Grouped data model Grouped data models are a special case of proportional hazards models, where failure times are grouped into intervals...
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Báo cáo sinh học: " Carcass conformation and fat cover scores in beef cattle: A comparison of threshold linear models vs grouped data models" docx
... with a baseline Weibull distribution Grouped Data Model (GDM) The threshold proportional hazard models are called grouped data models [8] In these models, the discrete variables Y are modelled ... presented the “grouped data model” for analysis of discrete data while maintaining the assumption of proportional hazards Ducrocq [8] reparameterized and extended grouped data models to include random ... Regression analysis of grouped survival data with application to breast cancer data Biometrics 1978, 34:57-67 Ducrocq V: Extension of survival analysis models to discrete measures of longevity...
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Lecture 3: GIS Data Models
... GIS data models After this lecture you should be able to: Describe the primary Vector data models used in GIS and give examples Describe raster data models and give examples Describe TIN data ... graphic data is stored in the form of discrete points, lines, or polygons © Paul Bolstad, GIS Fundamentals Structure of Vector Data There is a relationship between vector data types Each data ... Polygons “Linked” Attribute Data Tabular Data (Attributes) © ESRI Attribute Data Information which describes an entity represented by a graphic feature Attribute Data Information about a graphic...
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Topic 1: Panel data models
... microunit) By combining data in two dimensions, panel data gives more data variation, less collinearity and more degrees of freedom Panel data is better suited than cross-sectional data for studying ... Cross section and Panel data - Jeffrey M Wooldridge (2010) YEU TO CHU THE VA YEU TO THOI GIA These are Models that Combine Crosssection and Time-Series Data In panel data the same cross-sectional ... Often loosely use the term panel data to refer to any data set that has both a crosssectional dimension and a time-series dimension More precisely it’s only data following the same cross-section...
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NoSQL data models trungtt dhbkhn
... Relational data model revisited • Data is usually stored in row by row manner (row store) • Standardized query language (SQL) • Data model defined before you add data • Joins merge data from ... MapReduce • • • • 29 Graph data model • Core abstractions: Nodes, Relationships, Properties on both 30 15 01/12/14 Graph database (store) • A database stored data in an explicitly graph ... semi-structured data – Geographically distributed • Web applications not always need – Transaction – Strong consistency – Complex queries 12 01/12/14 NoSQL use cases • Massive data volume...
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Data Warehouse Architecture and Models
... Examine data needed Ascertain data availability Determine data frequency Decide the refresh cycle Types of Warehouse Data Fact data - Measures Dimension data - Query drivers Summary data ... Flexible snowflake model Summary Enterprise data warehouses Data marts Independent Dependant Warehouse data Data models Models compared ... between an enterprise-wide data warehouse and localized data marts Recognize the difference between independent and dependent data marts Identify the data that is stored in a data warehouse Explain...
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Data Streams Models and Algorithms- P1
... Chlorine dataset 279 Mote dataset 280 C r i t t e r dataset 28 Detail of forecasts on C r i t t e r with blanked values 282 River data 283 Wall-clock times (including time to update forecasting models) ... purchase PDF Split-Merge on www.verypdf.com to remove this watermark DATA STREAMS: MODELS AND ALGORITHMS The Data Collection Model Data Communication Query Processing 4.1 Aggregate Queries 4.2 Join ... m-layer for the data set D5L3C10 Cube computation: time and space vs # of dimensions for the data set L3ClOT100K Cube computation: time and space vs # of levels for the data set D5C10T50K Data Flow...
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Data Streams Models and Algorithms- P2
... classification models from static data sets where several passes over the stored data is possible This is not possible in the case of data streams, in which it is necessary to process the entire data set ... of data streams We can categorize these solutions as data- based and task-based ones In data- based solutions, the idea is to examine only a subset of the whole data set or to transform the data ... stream data, we believe that they should perform effectively for some data sets with stable distribution over time An example of such a data set is the KDD-CUP'98 Charitable Donation data set...
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Data Streams Models and Algorithms- P3
... Classification of Data Streams, Proc 2004 Int Con$ on Knowledge Discovery and Data Mining (KDD '04), Seattle, WA [4] Babcock B., Babu S., Datar M., Motwani R., and Widom J (2002) Models and issues in data ... different types of datasets, includingunstructured ones, such as transaction and text datasets, semi-structured ones, such as XML datasets, and structured ones, such as graph datasets The patterns ... targeting datasets Frequent patterns can not only effectively summarize the underlying datasets, lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 62 DATA STREAMS: MODELS...
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Tài liệu Data Streams Models and Algorithms- P4 doc
... watermark 94 DATA STREAMS: MODELS AND ALGORITHMS spatial locations in the data at which the data is being reduced, those at which the data is increasing, and those from where the data is shifting ... 98 DATA STREAMS: MODELS AND ALGORITHMS not designed to work well with data streams since the distribution of the data evolves over time Some recent results [13] discuss methods for mining data ... kinds of data evolution Methods are proposed to visualize the changing data trends in a single online scan of the data stream, and a computational requirement which is linear in the number of data...
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Tài liệu Data Streams Models and Algorithms- P5 docx
... with synthetic data streams of various characteristics The data stream is generated by a data generator similar in spirit to the IBM data generator (151) designed for testing data mining algorithms ... condition has been used popularly as a data cube architecture since it may substantially reduce the size of a data cube when data is sparse For example, for a sales data cube, one may want to only retain ... of new stream data, as well as the incremental fading of the obsolete data from the time scope of a data cube, it is required that incremental update be performed on such a stream data cube It...
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Tài liệu Data Streams Models and Algorithms- P6 pdf
... over data streams Data elements arrive on multiple data streams, and the system examines each data item as it arrives and attempts to assign it to one of a finite set of classes using a data ... assumption that, in certain data- stream processing applications, recent data is more useful and pertinent than older data In such cases, we would like to answer questions about the data only over the ... statistics or models that are built should reflect the entire data set However, for many applications this *Material in this chapter also appears in Data Stream Management: Processing High-speed Data...
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