Abstract: Methods for generating fraud detection rules based on transaction data may include receiving historical transaction data, associating tags with each transaction, generating decision trees having root nodes and child nodes operably connected to the respective root nodes, determining at least one primary rule and at least one set of secondary rules associated with the at least one primary rule based on relationships between features of the transactions, assigning primary rules and sets of secondary rules to the at least one decision tree to populate the tree, extracting a plurality of rule sets including at least one primary rule and one or more secondary rules, determining an ordering of the plurality of rule sets; and determining a subset of rule sets from the ordered plurality of rule sets against which subsequently received transactions are compared against to determine if the subsequent transactions are fraudulent.

Abstract: Methods for generating fraud detection rules based on transaction data may include receiving historical transaction data, associating tags with each transaction, generating decision trees having root nodes and child nodes operably connected to the respective root nodes, determining at least one primary rule and at least one set of secondary rules associated with the at least one primary rule based on relationships between features of the transactions, assigning primary rules and sets of secondary rules to the at least one decision tree to populate the tree, extracting a plurality of rule sets including at least one primary rule and one or more secondary rules, determining an ordering of the plurality of rule sets; and determining a subset of rule sets from the ordered plurality of rule sets against which subsequently received transactions are compared against to determine if the subsequent transactions are fraudulent.

Abstract: Methods for generating fraud detection rules based on transaction data may include receiving historical transaction data, associating tags with each transaction, generating decision trees having root nodes and child nodes operably connected to the respective root nodes, determining at least one primary rule and at least one set of secondary rules associated with the at least one primary rule based on relationships between features of the transactions, assigning primary rules and sets of secondary rules to the at least one decision tree to populate the tree, extracting a plurality of rule sets including at least one primary rule and one or more secondary rules, determining an ordering of the plurality of rule sets; and determining a subset of rule sets from the ordered plurality of rule sets against which subsequently received transactions are compared against to determine if the subsequent transactions are fraudulent.

Abstract: Methods for generating fraud detection rules based on transaction data may include receiving historical transaction data, associating tags with each transaction, generating decision trees having root nodes and child nodes operably connected to the respective root nodes, determining at least one primary rule and at least one set of secondary rules associated with the at least one primary rule based on relationships between features of the transactions, assigning primary rules and sets of secondary rules to the at least one decision tree to populate the tree, extracting a plurality of rule sets including at least one primary rule and one or more secondary rules, determining an ordering of the plurality of rule sets; and determining a subset of rule sets from the ordered plurality of rule sets against which subsequently received transactions are compared against to determine if the subsequent transactions are fraudulent.

Abstract: Techniques for facilitating conversion of an application from a block-based persistence model to a byte-based persistence model are provided. In one embodiment, a computer system can receive source code of the application and automatically identify data structures in the source code that are part of the application's semantic persistent state. The computer system can then output a list of data types corresponding to the identified data structures.

Abstract: Techniques for facilitating conversion of an application from a block-based persistence model to a byte-based persistence model are provided. In one embodiment, a computer system can receive source code of the application and automatically identify data structures in the source code that are part of the application's semantic persistent state. The computer system can then output a list of data types corresponding to the identified data structures.

Abstract: Techniques for creating and enabling access to a community-augmented map are provided. The techniques include uploading user-generated content about one or more locations on a map, processing the user-generated content about one or more locations on the map and storing the user-generated content about one or more locations on the map in an intelligent knowledgebase, applying one or more domain concepts from the intelligent knowledgebase to the user-generated content to infer one or more derivatives in connection with one or more locations in the map, and retrieving information of the one or more locations on the map from the intelligent knowledgebase to provide the map information as augmented metadata on the map.

Abstract: Techniques for creating and enabling access to a community-augmented map are provided. The techniques include uploading user-generated content about one or more locations on a map, processing the user-generated content about one or more locations on the map and storing the user-generated content about one or more locations on the map in an intelligent knowledgebase, applying one or more domain concepts from the intelligent knowledgebase to the user-generated content to infer one or more derivatives in connection with one or more locations in the map, and retrieving information of the one or more locations on the map from the intelligent knowledgebase to provide the map information as augmented metadata on the map.

Abstract: Techniques for enabling voice access to information residing on the World Wide Web are provided. The techniques include receiving a query from a user, wherein the query comprises a voice-based request to access information residing on the World Wide Web, identifying one or more websites corresponding to the query, fetching the information from a website, wherein fetching the information comprises executing a hypertext transfer protocol (HTTP) request, organizing the information into a voice-based response and delivering the response to the user.