Abstract: Disclosed are various embodiments for data anomaly detection. A variable profile is generated for each variable in source data. Then, the variable profiles are provided to each of a plurality of machine learning models. Next, it is determined, with each of the plurality of machine learning models, whether each variable profile is anomalous. The determination, from each of the plurality of machine learning models, whether each variable profile is anomalous is provided to an ensemble model. The ensemble model then generates a final determination whether each variable profile is anomalous. The final determination is then reported to an analysis service.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: A method including receiving a request for a report on a data set. The method also includes providing the report. The report includes a macro page having a subset of the data set. The method also includes converting the macro page into a primary tree data structure having levels. The method also includes buffering the primary tree data structure in a buffer to form a buffered tree data structure. The buffered tree data structure is buffered in a level order of the levels. The method also includes selecting a first micro page from the buffered tree data structure. The first micro page is configured for display on a user interface. The method also includes transmitting, to the user interface, the first micro page.

Abstract: A method including receiving a request for a report on a data set. The method also includes providing the report. The report includes a macro page having a subset of the data set. The method also includes converting the macro page into a primary tree data structure having levels. The method also includes buffering the primary tree data structure in a buffer to form a buffered tree data structure. The buffered tree data structure is buffered in a level order of the levels. The method also includes selecting a first micro page from the buffered tree data structure. The first micro page is configured for display on a user interface. The method also includes transmitting, to the user interface, the first micro page.

Abstract: This disclosure relates generally to intelligent visual reasoning over graphical illustrations using a MAC unit. Prior arts use visual attention to map particular words in a question to specific areas in an image to memorize the corresponding answers, thereby resulting in a limited capability to answer questions of a specific type. The present disclosure incorporates the MAC unit to enable reasoning capabilities and accordingly attend to an area in the image to find the answer. The present disclosure therefore allows generalizing over a possible set of questions with varying complexities so that an unseen question can also be answered correctly based on the reasoning methods that it has learned. The system and method of the present disclosure can be used for understanding of visual information when processing documents like business reports, research papers, consensus reports etc. containing charts and reduce the time spent in manual analysis.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: The present invention relates to glucoamylase variants, polynucleotides encoding the variants, methods of producing the variants, and methods of using the variants. Also described are the use of glucoamylases of the invention for starch conversion to produce fermentation products, such as ethanol, and syrups, such as glucose. The invention also relates to a composition comprising a glucoamylase variant of the invention.

Abstract: Techniques are disclosed relating to dynamically determining a data load process usable with a decision service for responding to requests to the decision service. The data load process may be selected from either a full data load process that loads data needed for all the rules in the decision service, or a selective data load process that loads data needed for a subset of the rules in the decision service according to embodiments. The decision service may determine the data load process to implement based on an evaluation of a decision blueprint in response to receiving the request, where the decision blueprint includes a set of rules interconnected by flow paths. Evaluation of properties of the rules and flow paths based on input data in the request may be used to determine the data load process to implement. Overall, this results in faster execution times in various circumstances.

Abstract: The present invention relates to glucoamylase variants having an increase in specific activity and/or an increase in melting temperature measured by TSA of at least 0.5 degrees Celsius, and further wherein the variants have at least at least 85%, at least 90%, at least 95% identity, at least 96%, at least 97%, at least 98%, or at least 99%, but less than 100%, sequence identity to the amino acid sequence of SEQ ID NO: 3. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present invention relates to glucoamylase variants having an increase in specific activity and/or an increase in melting temperature measured by TSA of at least 0.5 degrees Celsius, and further wherein the variants have at least at least 85%, at least 90%, at least 95% identity, at least 96%, at least 97%, at least 98%, or at least 99%, but less than 100%, sequence identity to the amino acid sequence of SEQ ID NO: 3. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present disclosure provides method for accessing digital web content. It provides for selective access rights for users, to a web content. When the user tries to retrieve the data, the system checks for the rights available to the user, and accordingly implements the access before providing the content.

Abstract: The present invention relates to glucoamylase variants having an increase in specific activity and/or an increase in melting temperature measured by TSA of at least 0.5 degrees Celsius, and further wherein the variants have at least at least 85%, at least 90%, at least 95% identity, at least 96%, at least 97%, at least 98%, or at least 99%, but less than 100%, sequence identity to the amino acid sequence of SEQ ID NO: 3. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present invention describes a system and method for tokenization of data. The system includes a receiver configured to receive a request for tokenization. The request for tokenization comprises an input data to be tokenized. The system also includes a parser configured to determine one or more datatype from the input data. The system further includes a trained artificial neural network to generate a token for the input data based on a tokenization technique corresponding to the datatype of the input data.

Abstract: The described technologies can be used for masking one or more heterogeneous digital contents. One or more heterogeneous digital contents can be received from one or more data sources. Further, the received one or more heterogeneous digital contents can be parsed by a first parser unit to obtain a portable format data. The portable format data can be a homogeneous digital content arranged in one or more layers. Further, masking of the portable format data can be performed by a masking unit. A masking methodology can be applied based on selection of one or more rules from a plurality of rules to obtain a masked portable format data. Further, reverse-parsing of the masked portable format data can be performed by a second parser unit to obtain a masked data. Structure of the received one or more heterogeneous digital contents remains preserved.

Abstract: The invention relates to a system and method providing access of one or more heterogeneous digital contents to at least one offline Digital Rights Management (DRM) user by a DRM server. This invention involves establishing the trust relationship among the DRM server, DRM client, user's machine and the end user by means of digital certificate. The server generates protected digital content by means of using a standard encryption algorithm. The invention further involves determining whether a license for accessing the protected file is requested by the legitimate user, and if so, generating a license consisting the user rights and the protected decryption key to be downloaded by legitimate user. The DRM client decrypts the protected file using a decryption key of the license, and renders the content to the end user by calling the appropriate and customized viewer during consumption.

Abstract: The technologies relate to a system and method for electronic signature agnostic verification. The method involves receiving a request to verify an electronic signature, thereafter validating an integrity of the electronic signature on the basis of one or more predefined validation parameters and validation fields, then analyzing the validated electronic signature to obtain one or more features of the validated electronic signature, further decoding the analyzed electronic signature using one or more decode parameters, and finally comparing the decoded electronic signature with a predefined value received from one or more sources, to check the correctness of the decoded electronic signature. The technique supports various electronic signature formats and electronic signature standards.

Abstract: The technologies relate to a system and method for electronic signature agnostic verification. The method involves receiving a request to verify an electronic signature, thereafter validating an integrity of the electronic signature on the basis of one or more predefined validation parameters and validation fields, then analyzing the validated electronic signature to obtain one or more features of the validated electronic signature, further decoding the analyzed electronic signature using one or more decode parameters, and finally comparing the decoded electronic signature with a predefined value received from one or more sources, to check the correctness of the decoded electronic signature. The technique supports various electronic signature formats and electronic signature standards.