An operations management system and related method obtains user activity information representing user interactions with the operations management system responsive to an incident, the incident belonging to a category of incidents. The method represents the user activity information as an itemset. The method further processes the itemset with a mining algorithm to identify one or more items of information frequently accessed for the incident. The method yet further associates the identified one or more items of information with the category of incidents.

Example embodiments include systems and methods for transmitting, by one or more processors coupled to memory, a request associated with a first application programming interface endpoint to an application programming interface server. The systems and methods may include retrieving, by the application programming interface server, data from one or more databases responsive to the request. The systems and methods may include transmitting, by the application programming interface server, a response to the one or more processors, the response including the data associated with at least one of independent recommendations and rankings.

Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

An agent automation system includes a memory configured to store a corpus of utterances and a semantic mining framework and a processor configured to execute instructions of the semantic mining framework to cause the agent automation system to perform actions, wherein the actions include: detecting intents within the corpus of utterances; producing intent vectors for the intents within the corpus; calculating distances between the intent vectors; generating meaning clusters of intent vectors based on the distances; detecting stable ranges of cluster radius values for the meaning clusters; and generating an intent/entity model from the meaning clusters and the stable ranges of cluster radius values, wherein the agent automation system is configured to use the intent/entity model to classify intents in received natural language requests.

The present disclosure provides computerized, automated real estate valuation systems and methods that take into account subjective factors of the property like curb appeal and property condition. In preferred embodiments, the valuation system uses image recognition of images (photos and/or videos) associated with the property to automatically identify which comparable properties to include and to exclude in determining the value of the property.

A computer-implemented method is presented for automatically generating alerting rules. The method includes identifying, via offline analytics, abnormal patterns and normal patterns from history logs based on machine learning, statistical analysis and deep learning, the history logs stored in a history log database, automatically generating the alerting rules based on the identified abnormal and normal patterns, and transmitting the alerting rules to an alerting engine for evaluation. The method further includes receiving a plurality of online log messages from a plurality of computing devices connected to a network, augmenting the plurality of online log messages, and extracting information from the plurality of augmented online log messages to be provided to the alerting engine, the alerting engine configured to approve and enforce the alerting rules automatically generated by the offline analytics processing.

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.

Provided for herein may be a system for optimizing data-driven signals, comprising a database subsystem configured to retrieve rich time-series data, a signal scheduler subsystem configured to trigger a signal generator subsystem time interval, a data aggregator subsystem configured to retrieve and process data from the database subsystem, a signal generator subsystem configured to create a data-driven signal from data aggregated by the data aggregated subsystem, a signal sender subsystem configured to send object data, a data downloader subsystem; and a data analyzer subsystem configured to analyze and provide analysis on data in the database subsystem.

A method and apparatus for generating information are disclosed. An implementation of the method includes: receiving a target text, the target text including an objective and descriptive information of the objective; performing a dependency syntax parsing on the target text to generate a dependency tree of the target text; matching predetermined syntactic structure tree with the dependency tree to obtain at least one triple, a triple including a subject, a predicate, and an object; and determining, based on words contained in a triple among the at least one triple and a predetermined weight of the syntactic structure tree matched to obtain the triple, a target triple among the at least one triple.

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.