Abstract: A head-mounted display (HMD) determines whether a set of criteria is satisfied based on eye-related readings collected by a camera of the HMD and wirelessly transmits a set of messages in response to a determination that the set of criteria is satisfied. An attachment includes a set of light-emitting diodes (LEDs) and activates the set of LEDs to emit the light at the bleaching intensity in response to receiving the set of messages.

Abstract: Implementations are directed to receiving a plurality of data samples comprising a first set of data samples associated with respective labels and a second set of data samples to be labeled; generating a random forest structure comprising a set of decisions trees, each decision tree including nodes corresponding to the first set of data samples; adding the second set of data samples into each decision tree as additional nodes of each decision tree; merging the set of decision trees to obtain a universal graph, wherein each node corresponds to a data sample; extracting, using a graph embedding algorithm, an embedding feature for each data sample that corresponds to each node included in the universal graph; determining a distance between any pair of two data samples using respective embedding features of the two data samples; and determining a label for each of the second set of data samples using the distance.

Abstract: A data quality management system includes a rules repository configured to store profiling data quality rules, cleansing data quality rules, and linking data that links profiling data quality rules to cleansing data quality rules. The data quality management system also includes a rules management module configured to manage the rules repository. The data quality management system further includes a data quality job management module configured to migrate data quality rules from the rules repository to a data quality processing system and manage a data quality process performed by the data quality processing system using the migrated data quality rules.

Abstract: A data quality management system includes a rules repository configured to store profiling data quality rules, cleansing data quality rules, and linking data that links profiling data quality rules to cleansing data quality rules. The data quality management system also includes a rules management module configured to manage the rules repository. The data quality management system further includes a data quality job management module configured to migrate data quality rules from the rules repository to a data quality processing system and manage a data quality process performed by the data quality processing system using the migrated data quality rules.

Abstract: A data quality management system includes a rules repository configured to store profiling data quality rules, cleansing data quality rules, and linking data that links profiling data quality rules to cleansing data quality rules. The data quality management system also includes a rules management module configured to manage the rules repository. The data quality management system further includes a data quality job management module configured to migrate data quality rules from the rules repository to a data quality processing system and manage a data quality process performed by the data quality processing system using the migrated data quality rules.

Abstract: A data quality management system includes a rules repository configured to store profiling data quality rules, cleansing data quality rules, and linking data that links profiling data quality rules to cleansing data quality rules. The data quality management system also includes a rules management module configured to manage the rules repository. The data quality management system further includes a data quality job management module configured to migrate data quality rules from the rules repository to a data quality processing system and manage a data quality process performed by the data quality processing system using the migrated data quality rules.

Abstract: A data quality management system includes a rules repository configured to store profiling data quality rules, cleansing data quality rules, and linking data that links profiling data quality rules to cleansing data quality rules. The data quality management system also includes a rules management module configured to manage the rules repository. The data quality management system further includes a data quality job management module configured to migrate data quality rules from the rules repository to a data quality processing system and manage a data quality process performed by the data quality processing system using the migrated data quality rules.

Abstract: A data quality management system includes a rules repository configured to store profiling data quality rules, cleansing data quality rules, and linking data that links profiling data quality rules to cleansing data quality rules. The data quality management system also includes a rules management module configured to manage the rules repository. The data quality management system further includes a data quality job management module configured to migrate data quality rules from the rules repository to a data quality processing system and manage a data quality process performed by the data quality processing system using the migrated data quality rules.