Abstract: An apparatus and method are provided for ensemble transfer learning. One or more first (machine learning) projects that are similar to a second (machine learning) project are identified by comparing metadata of the one or more first projects and the second project, where the metadata comprises a plurality of characteristics and the characteristics of the first projects are compared to the characteristic of the second project to identify the one or more first projects. One or more (machine learning) models associated with the one or more first projects are selected as a plurality of models that each share a common feature set with the second project. Each model in the plurality of models is applied to input data for the second project to generate a set of results. Output data corresponding to the input data is produced for the second project based on the set of results.

Abstract: A system, computer-readable medium, and method are provided for tracking modeling of datasets. The method includes the steps of executing an exploration operation to generate a result and storing an entry in a database that correlates an exploration operation configuration for the exploration operation with at least one performance metric. Each performance metric in the at least one performance metric is a value used to evaluate the result. The exploration operation utilizes a machine learning algorithm to process the dataset, and the exploration operation may be executed using at least one node in a computing cluster.

Abstract: Various videolization solutions are provided. A method for generating video is provided according to an example. The method includes obtaining one or more data portions and generating a customizable video using the one or more data portions and using one or more video generation templates; determining one or more selectable objects in the customizable video using one or more object definitions; receiving an indication indicating a user selection of at least one selectable object corresponding to an object definition; obtaining additional data portions related to the at least one selectable object corresponding to the indication; and regenerating the customizable video using the additional data portions and the one or more data portions corresponding to the indication.

Abstract: A method includes receiving an original feature-set for training a machine learning system, the feature-set including multiple records each having a set of original features with original feature values and a result, querying a knowledge base based on the set of original features, receiving a set of knowledge features with knowledge feature values responsive to the querying of the knowledge base, generating a first augmented feature-set that includes the multiple records of the original feature set and the knowledge features for the multiple records, and training the machine learning system based on the first augmented feature-set.

Abstract: Various videolization solutions are provided. A method for generating video is provided according to an example. The method includes obtaining one or more data portions and generating a customizable video using the one or more data portions and using one or more video generation templates; determining one or more selectable objects in the customizable video using one or more object definitions; receiving an indication indicating a user selection of at least one selectable object corresponding to an object definition; obtaining additional data portions related to the at least one selectable object corresponding to the indication; and regenerating the customizable video using the additional data portions and the one or more data portions corresponding to the indication.

Abstract: An apparatus comprises a data acquisition module configured to extract raw data, and aggregate the raw data to form aggregated data, a data curation module coupled to the data acquisition module and configured to perform curation of the aggregated data to form curated data, and transform the curated data into structured format data, and a transmitter coupled to the data curation module and configured to transmit the structured format data. A method comprises receiving an instruction to perform at least a portion of videolization for a topic, extracting raw data in response to the instruction, aggregating the raw data to form aggregated data, performing curation of the aggregated data to form curated data, transforming the curated data into structured format data, and transmitting the structured format data.

Abstract: A method for building and managing a user-customizable knowledge base, the method comprising acquiring data related to a plurality of entities from a plurality of heterogeneous data sources based on a customized acquisition configuration, wherein the customized acquisition configuration specifies a distinct data wrapper for each of the data sources, extracting entity-related information from the data to form a number of graph databases, and integrating the graph databases by mapping relationships between the entities to create an entity-centric knowledge base.

Abstract: A method, interface, and apparatus for expressing data objects is described.

Abstract: A client device comprising a search module configured to receive a search instruction from a federated search server, query one or more search services based on the search instruction, receive a first search result that comprises one or more search results from one or more search services, send the first search result to the federated search server, and receive a second search result from the federated search server. Also disclosed is a federated search server comprising a search instruction generator configured to send a search instruction to a client device, and a search result consolidator configured to receive a first search result from the client device, wherein the first search result comprises one or more search results and is obtained by the client device from one or more search services.

Abstract: A client device comprising a search module configured to receive a search instruction from a federated search server, query one or more search services based on the search instruction, receive a first search result that comprises one or more search results from one or more search services, send the first search result to the federated search server, and receive a second search result from the federated search server. Also disclosed is a federated search server comprising a search instruction generator configured to send a search instruction to a client device, and a search result consolidator configured to receive a first search result from the client device, wherein the first search result comprises one or more search results and is obtained by the client device from one or more search services.

Abstract: A method, interface, and apparatus for expressing data objects is described.

Abstract: A large-scale metasearch engine is provided. The engine has three main components. A discovery component examines web page content to discover and identify search engines. A connection component connects the metasearch engine to each search engine that has been identified. A search result extraction component extracts useful information from each result page returned from said search engines for any particular query. A method for a query of internet pages by use of the novel metasearch engine is also provided.