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involves using data from multiple source systems There may be some sources that are used purely to get descriptive data for the dimension The functionality is easier to understand in a speci c context, so let s look at common functions needed to build and maintain a Customer dimension: Validate the customer: Determine whether the incoming customer is already known Identify changes to known customers: If the customer is known, have there been any changes to that customer information This may require looking at data from several sources perhaps the sales transactions, the corporate marketing customer database, and the accounting systems Handle changes to known customers: For existing customers, make sure that hanges are handled appropriately Sometimes data is updated to re ect the current values In other cases, historical versions of the customer are needed This concept, rst described in 7, is called slowly changing dimensions Many other data warehouse books provide technical details about developing and maintaining slowly changing dimensions Needless to say, this simply means that there is more work to be done and a little more complexity to be managed Identify new customers: If this is a new customer, then look at the sources mentioned above to determine whether the customer is identi ed in those systems If this is a new customer, then a new data warehouse identi er is assigned This is called assigning a surrogate key Build a full description for new customers: Once a new customer is identi ed, data must be located to fully populate all of the customer attributes This may require looking at a variety of data sources It also requires guidelines that prioritize the sources Perhaps the customer master database from the marketing department should always be the rst place to look for customer information If the customer is not found there, then use the name and address data from the source where the customer was rst identi ed and then request demographic data from a third-party data provider The source must be selected for each data element Validate data relationships: Follow the de ned business rules to ensure that all of the data relationships are correct For example, check the city, state, and zip code values to ensure that they represent a valid combination This may include standard relationships such as the geography, as well as internal relationships such as customers living in Illinois belonging to the Midwest sales region Map customer data from multiple sources: When data is being processed from more than one source system, there must be a method to associate the.



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Indeed, as data volumes grow dramatically, manual data analysis s becoming completely impractical in many domains. This motivates the need for ef cient, automated knowledge discovery. The KDD process can be decomposed into the following steps, as illustrated in Figure 1.1:. THE IMPORTANCE OF FEATURE SELECTION. Encode Data Matrix 2d . Using Barcode encoder for ASP.NET Control to .Related: .NET EAN-13 Generation , EAN 128 Generating .NET , .NET UPC-A Generating

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Asprise VB. NET OCR SDK - royalty-free API library with source code ...
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In many ways, redesigning (or replacing) an existing application can be more difficult than building a new application to replace a manual process This s because there is an existing work flow built around the application, not to mention the data that has already been stored Often, the new system will need to mimic certain behaviors of the existing system while changing the actual work under the hood Also, you need to understand the data being stored and figure out a way to migrate the existing data to the new system In addition to formal applications, you should take this time to look for spreadsheets or end user database solutions, such as Microsoft Access, that may exist in the organization Often, data stored on users computers is just as important as something that makes it into an enterprise solution These islands of information exist in the users domain of control, and typically this kind of information is hard to pry away from them without management intervention To analyze and understand the existing application from a data modeling standpoint, you should acquire copies of any process flow documents, data models, data dictionaries, and application documentation (everything from the original requirements documents to training documents) If nothing else, generate (or ask for) schema definitions for all existing physical databases, including all tables, views, stored procedures, functions, and so on Try to gather screen captures of any application windows that require user data input, as well as screens that output data to the user Also, you ll need the actual code being used by the application as it pertains to data access All these documents will help you understand how the application is manipulating data; in some cases, there may be specific logic embedded in the application that can be handled in the database Knowing this ahead of time will help prevent confusion during application design In addition, you need to look at the application from a functionality standpoint Does it do what the customer wants it to do, or are there gaps in its feature set This review can be helpful in determining the processes that you want to carry forward to the new system, processes that should be dropped, and processes that may be missing from the current system and need to be added These existing applications may also provide you with other system requirements that will be implemented outside the data model, such as.

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Barcode Encoder In Java Using Barcode encoder for Java . EAN 13 In Java Using Barcode creation for Java .As it turns out, the Test and Performance Tools Project (TPTP) uses EMF extensively for its models After some investigation, it seems we can transform our scenario diagrams into TPTP manual test cases using QVT One complication to overcome is that TPTP uses the zip feature of EMF serialization to persist its models So after we create a test suite model, we just need to zip the file and change the file extension to testsuite to open it with the TPTP editor Another complication is that the TPTP project has discontinued development of the Manual Test feature o follow along in this section, you need to use the Europa edition (430) of the Testing Tools feature, not the Ganymede release As a result, this example should be considered purely a reference and is not completed, given the uncertainty about the target.Related: Printing EAN-8 .NET , UPC-E Printing .NET , Make ISBN .NET

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Meteorological Pattern Classi cation. DataMatrix Encoder In Visual . Using Barcode creation for .NET framework Control o generate, create Data Matrix ECC200 image in .NET framework applications. Sunspot recognition and classi cation are currently manual and labor ntensive processes that could be automated if successfully learned by a machine. The approach presented in [251] employs a hierarchical rough set-based learning method for sunspot classi cation. It attempts to learn the modi ed Zurich classi cation scheme through rough set-based decision tree induction. The resulting system is evaluated on sunspots extracted from satellite images, with promising results. In [270] a new application of rough set theory for classifying meteorological radar data is introduced. Volumetric radar data is used to detect storm events responsible for severe weather. Classifying storm cells is a dif cult problem as they exhibit a complex evolution throughout their life span. Also the high dimensionality and imprecision of the data can be prohibitive. Here a rough set approach is employed to classify a number of meteorological storm events.Related: Creating Intelligent Mail .NET

This page intentionally left blank. Make QR In .NET Using . Using Barcode reader for .NET framework Control to read scan read, scan image in VS .NET applications.To automate the methodology for the Live capture and reuse of project knowledge, a prototype application which consists of a Web-based knowledge base was developed The system architecture of the prototype application is shown in Figure 61 The knowledge base will run in a project extranet environment hich is only accessible to designated users from collaborating organisations The database or the data layer is the core of the Web-based knowledge base where all the knowledge is stored The application logic/code automates the Integrated Work ow System (IWS) and helps to reduce potential workload of the users in submitting and sharing reusable knowledge A standard Web browser is used to interact with the knowledge base (ie for submitting or retrieving knowledge).Related: 

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Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on ... Image Components SDK controls: - Image viewer and editor component ...

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The C# PDF Library | Iron PDF
A DLL in C# asp. net to generate and Edit PDF documents in . Net framework and . Net Core applications with NuGet Support. ... C# . NET PDF OCR Library ...












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