Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.

A cryptocurrency mining method and a cryptocurrency mining controller device are provided. The method includes: obtaining electricity price information and cryptocurrency price information; determining operation control parameters of the cryptocurrency mining system according to the electricity price information and the cryptocurrency price information; and controlling an operation of a target group of cryptocurrency miners according to the operation control parameters. The operation includes switching between operation states, and the operation states includes at least a running state and an off state.

A computer system is provided for retrospectively processing a data structure that includes a plurality of entries. The computer system determines if certain data transactions requests that have been recorded in the data structure could have been executed differently (e.g., by being processed at an earlier point in time). For a given entry in the data structure, the system determines if data transaction request could have at least partly succeeded against a prior recorded state of at least one of two ordered lists of pending data transaction requests. Another entry is then found that caused the initial entry to fail in execution and a time delta is stored between the timestamp of the another entry and the timestamp of the initial entry.

This invention presents a framework for applying artificial intelligence to aid with product design, mission or retail planning. The invention outlines a novel approach for applying predictive analytics to the training of a system model for product design, assimilates the definition of meta-data for design containers to that of labels for books in a library, and represents customers, requirements, components and assemblies in the form of database objects with relational dependence. Design information can be harvested, for the purpose of improving decision fidelity for new designs, by providing such database representation of the design content. Further, a retrieval model, that operates on the archived design containers, and yields results that are likely to satisfy user queries, is presented. This model, which is based on latent semantic analysis, predicts the degree of relevance between accessible design information and a query, and presents the most relevant previous design information to the user.

A method for anonymizing and combining personal information in big data, by which big data is anonymized to be freely distributed to an external system without fear of personal information leakage and distributed data can be combined with each other is proposed.

Systems and methods are provided to combine data from various internal data sources and external data sources to generate and maintain frequently asked questions and knowledge bases. By doing so, the collective knowledge of a company and customers' questions around it are aggregated and served in a way that increases the availability and relevancy of such knowledge for both self-help channels and computing agents (e.g., customer service representatives (CSRs)).

A device and method of producing electrical energy by gravitomagnetic induction utilizing Nano-features fabricated on an object surface of an object is presented. The Nano-features may include Nano-bumps and Nano-pits. One device version includes a computer hard disk, a piezoelectric glide head, and/or a GMR read head, a prior art hard drive module electronics. By spinning the nano-features disk one produces an associated magnetic force utilizing a GMR read head for producing power by the presence or the absence of matter on an object that is in motion relative to the GMR read head. A computer system generated by the alternate computer system generates gravito-magnetic energy to power itself and/or other electrical or electronic devices, and/or, detects patterns of asperities or bump on a hard disk to generate binary value private keys applicable in asymmetric cryptography, such as public key cryptography.

The present teaching relates to method and system for generating a stream of content items. A plurality of entities associated with a time-window are obtained, wherein each entity of the plurality of entities is associated with at least one content item. For each entity, a first parameter with respect to the time-window, a second parameter with respect to previous time-windows, and a trendiness score based on a function of the first parameter and the second parameter are respectively calculated. A graph based on one or more entity-pairs is generated, wherein each entity-pair of the one or more entity-pairs satisfies a first criterion. A stream of content items is generated based on the graph, wherein each content item in the stream of content items corresponds to at least one of the one or more entity pairs.

Methods and devices for propagating transactions in a network of nodes, each node having one or more connections to other nodes. The method includes receiving a plurality of incoming transactions over a time period; combining the plurality of incoming transactions using network coding to generate a composite message; sending the composite message to one or more nodes in the network; and determining an adjusted time period based on an equilibrium constant parameter and a count of transactions in the plurality of incoming transactions received over the time periodk.

A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.