Information source agent systems and methods for distributed content storage and management using content signatures that use file identicality properties are provided. A data management system is provided that includes a content engine for managing the storage of file content, a content signature generator that generates a unique content signature for a file processed by the content engine, a content signature comparator that compares content signatures and a content signature repository that stores content signatures. Information source agents are provided that include content signature generators and content signature comparators. Methods are provided for the efficient management of files using content signatures that take advantage of file identicality properties. Content signature application modules and registries exist within information source clients and centralized servers to support the content signature methods.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for list accumulation and reminder triggering. In one aspect, a method includes receiving, at a data processing apparatus, a first input comprising a plurality of terms; determining, by the data processing apparatus, that one or more of the terms in the first input specify an item that belongs to a reminder category, the reminder category being associated with a collection of items that belong to the category and for which reminders may be generated; and in response to the determination, storing data that associates a reminder type with the item specified by the one or more terms.

An example operation may include one or more of acquiring, by an organization node, a user profile from a blockchain, determining, by the organization node, a role of the user based on the user profile, detecting, by the organization node, user actions directed to graph expansions, and executing, by the organization node, a smart contract to analyze user behavior based on the detected user actions and the role to produce role-based user behavior parameters.

Embodiments of the present disclosure describe systems, methods, and computer program products for executing and tuning a machine learning operation within a database. An example method can include receiving a data query referencing an input data set of a database, executing a plurality of machine learning operations to generate, in view of the input data set, a plurality of output data sets each having a respective accuracy value, wherein each of the plurality of machine learning operations is executed by a processing device according to one of a plurality of unique sets of hyperparameters, selecting a first output data set of the plurality of output data sets in view of the accuracy values, and returning the first output data set in response to the data query.

According to an embodiment, an electronic device comprises at least one processor, and a memory that stores instructions configured to cause the at least one processor to obtain first data associated with original data based on random number using a first program, obtain first similarity information between the original data and the first data, obtain second data associated with the original data based on the random number using a second program, obtain second similarity information between the original data and the second data, in response to receiving a request, and provide the first program or the second program based on information included in a request that corresponds to a range that includes at least one of the first similarity information or the second similarity information.

According to an embodiment, an electronic device comprises at least one processor, and a memory that stores instructions configured to cause the at least one processor to obtain first data associated with original data based on random number using a first program, obtain first similarity information between the original data and the first data, obtain second data associated with the original data based on the random number using a second program, obtain second similarity information between the original data and the second data, in response to receiving a request, and provide the first program or the second program based on information included in a request that corresponds to a range that includes at least one of the first similarity information or the second similarity information.

Disclosed embodiments provide techniques for multi-destination probabilistic data replication. Data transfer occurs over multiple time intervals. A data image to be transferred is divided into chunks. A manifest is created that lists each chunk and specifies an order, such that the data image can be reconstructed at its destination. The manifest is sent to the destination. The chunks may be sent to the destination, or to an aggregator site that then forwards the chunks to the destination. The chunks are reassembled at the destination based on information in the manifest. A probabilistic function is used to select an aggregator site based on an efficacy. The efficacy is based on a reward function that is computed for destinations for each time interval. A data transfer policy is periodically updated with a new efficacy value which is used for adjustment of the probabilistic function.

A database system comprising a database having a dynamic schema and comprising a plurality of data storage nodes; and at least one processor configured to, using an encryption process: manage access to plaintext data stored in the plurality of data storage nodes by users employing at least one client-controlled resource in a client access layer; restrict access to the plaintext data by other users, wherein the other users include users with system administration privileges for the database and administrators of processing resources hosting the database; and manage access to encrypted copies of the plaintext data by the users with system administration privileges for the database such that the system administration privileges do not enable access to plaintext versions of the encrypted copies. A method for managing data security for a database. A database system with a dynamic schema architecture, a client access layer, and an operational database layer.

A processor may receive a request including a vehicle identifier, a first symptom identifier, and a second symptom identifier. In response to receiving the request, the processor may determine a circuit element identifier to include in a reply to the request. To do so, the processor may make a determination that the received vehicle identifier matches or is mapped to a stored vehicle identifier, that the received first symptom identifier matches or is mapped to a stored first symptom identifier, and that the received second symptom identifier matches or is mapped to a stored second symptom identifier. In response to making the determination, the processor may determine that a particular circuit element identifier is the circuit element identifier to include based on the particular circuit element identifier being mapped to these stored identifiers. Then, the processor may generate and subsequently output the reply including the determined circuit element identifier.

This disclosure relates to increasing database functionality in non-relational databases using an object relational mapper to provide updates to table field values across a plurality of separate tables and provide virtual table functionality through compound search operations and condensed table structures.