Abstract: A compatibility of a computational analysis and a data set is automatically determined by comparing data set attribute data with attribute data of the computational analysis. Other computational analyses may also be evaluated for compatibility with the data set. Compatible analyses may be performed on the data set, and selected views of the results may be presented. Selection of the analyses to be performed, the views, and/or the contents and format of the views may be determined based result data attributes and computational analysis attribute data as well as other considerations, such as resources required and multiplicity. As computational analysis attributes are based on a set of rules or statements determined from heuristics of respective computational analyses, evaluation of the compatibility between various analyses and the data set is accordingly determined based on the heuristic-based rules or statements. Computational analyses may include visualizations and heavyweight computational analyses.

Abstract: A framing technique included in a set of framing techniques is applied to at least a portion of a target data set. When a result of the application of the framing technique meets a first condition, a typing technique included in a set of typing techniques is applied to the target data set. When a result of the application of the typing technique meets a second condition, a tokenization technique included in a set of tokenization techniques is applied to the target data set. When a result of the application of the tokenization technique meets a third condition, a parsing technique for the target data set is determined to include the framing technique, the typing technique and the tokenization technique. An indication of the parsing technique is generated.

Abstract: A compatibility of a computational analysis and a data set is automatically determined by comparing data set attribute data with attribute data of the computational analysis. Other computational analyses may also be evaluated for compatibility with the data set. Compatible analyses may be performed on the data set, and selected views of the results may be presented. Selection of the analyses to be performed, the views, and/or the contents and format of the views may be determined based result data attributes and computational analysis attribute data as well as other considerations, such as resources required and multiplicity. As computational analysis attributes are based on a set of rules or statements determined from heuristics of respective computational analyses, evaluation of the compatibility between various analyses and the data set is accordingly determined based on the heuristic-based rules or statements. Computational analyses may include visualizations and heavyweight computational analyses.

Abstract: A system and method facilitate the use of a multi-function computer for an examination. An application implementing the method receives a hash input from a user and, upon successful completion of the examination, displays a hash output. The hash output may be displayed as a visual hash. During the examination, the application or system monitors the multi-function computer to determine whether the user has activated, viewed, or launched any prohibited functions or applications on the multi-function computer. If the user views a prohibited function or application, the examination application does not display the hash output. The system and application implement various security measures to prevent spoofing or duplication of the hash output or tampering with the application.

Abstract: A compatibility of a computational analysis and a data set is automatically determined by comparing data set attribute data with attribute data of the computational analysis. Other computational analyzes may also be evaluated for compatibility with the data set. Compatible analyzes may be performed on the data set, and selected views of the results may be presented. Selection of the analyzes to be performed, the views, and/or the contents and format of the views may be determined based result data attributes and computational analysis attribute data as well as other considerations, such as resources required and multiplicity. As computational analysis attributes are based on a set of rules or statements determined from heuristics of respective computational analyzes, evaluation of the compatibility between various analyzes and the data set is accordingly determined based on the heuristic-based rules or statements. Computational analyzes may include visualizations and heavyweight computational analyzes.

Abstract: A system and method facilitate the use of a multi-function computer for an examination. An application implementing the method receives a hash input from a user and, upon successful completion of the examination, displays a hash output. The hash output may be displayed as a visual hash. During the examination, the application or system monitors the multi-function computer to determine whether the user has activated, viewed, or launched any prohibited functions or applications on the multi-function computer. If the user views a prohibited function or application, the examination application does not display the hash output. The system and application implement various security measures to prevent spoofing or duplication of the hash output or tampering with the application.

Abstract: A framing technique included in a set of framing techniques is applied to at least a portion of a target data set. When a result of the application of the framing technique meets a first condition, a typing technique included in a set of typing techniques is applied to the target data set. When a result of the application of the typing technique meets a second condition, a tokenization technique included in a set of tokenization techniques is applied to the target data set. When a result of the application of the tokenization technique meets a third condition, a parsing technique for the target data set is determined to include the framing technique, the typing technique and the tokenization technique. An indication of the parsing technique is generated.

Abstract: A compatibility of a computational analysis and a data set is automatically determined by comparing data set attribute data with attribute data of the computational analysis. Other computational analyses may also be evaluated for compatibility with the data set. Compatible analyses may be performed on the data set, and selected views of the results may be presented. Selection of the analyses to be performed, the views, and/or the contents and format of the views may be determined based result data attributes and computational analysis attribute data as well as other considerations, such as resources required and multiplicity. As computational analysis attributes are based on a set of rules or statements determined from heuristics of respective computational analyses, evaluation of the compatibility between various analyses and the data set is accordingly determined based on the heuristic-based rules or statements. Computational analyses may include visualizations and heavyweight computational analyses.

Abstract: A system and method facilitate the use of a multi-function computer for an examination. An application implementing the method receives a hash input from a user and, upon successful completion of the examination, displays a hash output. The hash output may be displayed as a visual hash. During the examination, the application or system monitors the multi-function computer to determine whether the user has activated, viewed, or launched any prohibited functions or applications on the multi-function computer. If the user views a prohibited function or application, the examination application does not display the hash output. The system and application implement various security measures to prevent spoofing or duplication of the hash output or tampering with the application.