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Parsing PDF Files using iTextSharp (C#, .NET) | Square PDF .NET
How to extract text from PDF files using iTextSharp library. Sample Visual Studio 2010 project included (C#). Downloads. PdfParsingiTextSharp.20140310.zip ...


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pqScan PDF to Text Extractor SDK for .NET empowers C# programmers to easily extract and get text content in PDF document without using Adobe PDF reader  ...

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system provides enough bene ts, the user will be inclined to change his own decision behavior Benbasat and Todd (following Newell and Simon, 1972) use elementary information processes (EIP s) as the smallest task elements Decision aids should substitute such information processes so that other EIP s (either performed by man or machine) can use the output of these small elements In this way, intermediate results are understandable by the decision maker What is elementary is not de ned and contingent upon the goal of the analysis and the characteristics of the domain Note that this approach focuses rstly on the decision maker and only then on the problem structure Decomposing the problem in subproblems will probably mean that the optimal solution (or a very good solution) from a mathematical perspective will not be found.

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Whether this is acceptable or not is part of the trade-off between the efforts of the human planner to understand a solution and the quality of that solution The ideas of Benbasat and Todd (1996) can of course be applied to the domain of scheduling support Task-oriented scheduling support focuses on both (a) the domain characteristics and computational advances that have been made to solve scheduling problems in the domain and (b) the problem-solving processes of the human planner Changes in the task that are forced by the introduction of scheduling support do not pose a problem as long as the planner feels that either the task strain is reduced or the quality of the outcome is increased This approach can be applied if the quality of the outcome is important, but the task environment is unstable and requires human judgment.

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Consequential generation techniques can be understandable and acceptable to the user even if they are not based on symbolic information processing Therefore, domain-based techniques seem to be at an advantage because they can compute better solutions in most cases But such techniques should only be used for subtasks of which the human planner does not need intermediate results Generation algorithms can also be applied for subtasks on the level of mixed initiative Preferably, algorithms at the level of mixed initiative need to be able to communicate about the search process to the planner in a meaningful way This can be reached if an algorithm to perform a subtask at the level of mixed initiative uses algorithms that are made for subtasks of the subtask under consideration Then, the algorithm uses the same partitioning of the task as the planner and intermediate solutions are always understandable by the human user.

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