Abstract: Embodiments for intelligent application development by a processor. One or more application code changes may be automatically into one or more application code change groups for a versioning system, wherein the one or more application code groups are logically consistent and self-contained.

Abstract: An information retrieval response may be augmented, based upon a query, with a plurality of selected causality data relating to the query. The information retrieval response may be generated from an information retrieval system.

Abstract: A method for automatically detecting inappropriate content on a computing application is provided. The method may include, in response to detecting an attempt to post content on the computing application, parsing the content to identify parts of the content. The method may further include determining whether the parts of the content comprises inappropriate content by applying algorithms to the parts of the content based on information associated with one or more computing applications and by predicting whether potential viewers of the one or more parts of the content view the one or more parts as inappropriate. The method may further include, in response to determining that the one or more parts of the content includes inappropriate content based on the applied algorithms and the potential viewers, generating and displaying feedback and providing suggestions for editing the inappropriate content on the attempted post.

Abstract: Various embodiments are provided for implementing intelligent backup plan creation by a processor in a computing environment. One or more files or directories managed by one or more file hosting services, cloud computing services, or a combination thereof may be identified from among a plurality of files or directories associated with a backup plan. A backup operation may be performed according to the backup plan by only referencing as opposed to including entire content of the one or more files or directories that are managed by the one or more file hosting services, the cloud computing services, or a combination thereof.

Abstract: Various embodiments are provided for providing intelligent library management in a computing environment by a processor. Application compatibility may be learned from a plurality of projects, repositories, application libraries, data sources, or a combination thereof. A list of recommended application libraries, ordered according to the application compatibility, may be automatically provided for implementation, integration, or replacements of one or more sections of an application library.

Abstract: Embodiments for assisting pronunciation correction are described. A representation of a user pronunciation of an utterance is received. A representation of a target pronunciation of the utterance is identified. The representation of the user pronunciation of the utterance is compared to the representation of the target pronunciation of the utterance. A recommendation associated with correcting the user pronunciation of the utterance is generated based on the comparing of the representation of the user pronunciation of the utterance to the representation of the target pronunciation of the utterance and information associated with the user.

Abstract: Various embodiments are provided for providing causality augmented information in a computing environment by a processor. An information retrieval response may be augmented, based upon a query, with a plurality of selected causality data relating to the query. The information retrieval response may be generated from an information retrieval system.

Abstract: Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models using multidimensional dataset.

Abstract: Embodiments for intelligent application development by a processor. One or more application code changes may be automatically into one or more application code change groups for a versioning system, wherein the one or more application code groups are logically consistent and self-contained.

Abstract: A first client device detects driving of a vehicle. The first client device establishes a passenger operation network connection with a second client device. The first client device receives, based on the established network connection and based on the detected driving of the vehicle, at least one instruction directed towards a first client operation of the first client device. The first client device executes, responsive to the received at least one instruction and based on the established network, the first client operation.

Abstract: Embodiments for intelligent generation of customized questions or questionnaires by a processor. One or more customized questions or questionnaires may be generated according to a user profile, similar profiles of alternative users, one or more historical interactions with the alternative users, one or more goals defined by a domain experts, domain knowledge, historical questions or questionnaires, or a combination thereof using a machine learning operation.

Abstract: Various embodiments are provided for implementing intelligent backup plan creation by a processor in a computing environment. One or more files or directories managed by one or more file hosting services, cloud computing services, or a combination thereof may be identified from among a plurality of files or directories associated with a backup plan. A backup operation may be performed according to the backup plan by only referencing as opposed to including entire content of the one or more files or directories that are managed by the one or more file hosting services, the cloud computing services, or a combination thereof.

Abstract: Techniques that facilitate adaptive anonymization of data using statistical inference are provided. In one example, a system includes an anonymization component and a statistical learning component. The anonymization component applies an anonymization strategy to data associated with an electronic device. The statistical learning component modifies the anonymization strategy to generate an updated anonymization strategy for the data based on a machine learning process associated with a probabilistic model that represents the data.

Abstract: A first client device detects driving of a vehicle. The first client device establishes a passenger operation network connection with a second client device. The first client device receives, based on the established network connection and based on the detected driving of the vehicle, at least one instruction directed towards a first client operation of the first client device. The first client device executes, responsive to the received at least one instruction and based on the established network, the first client operation.

Abstract: Input text containing a plurality of patient information can be annotated for annotations and extracted. One or more annotations are parsed for relevant contextual information. The one or more annotations are assigned a semantic type. The one or more annotations are visually isolated, personalized to a user profile job, and outputted. The one or more extracted annotations are subjected to natural language processing operations.

Abstract: A first client device detects driving of a vehicle. The first client device establishes a passenger operation network connection with a second client device. The first client device receives, based on the established network connection and based on the detected driving of the vehicle, at least one instruction directed towards a first client operation of the first client device. The first client device executes, responsive to the received at least one instruction and based on the established network, the first client operation.

Abstract: Embodiments for intelligent premise security access management by a processor. Identification information of a user requesting access to enter a premise via a premise entry may be authenticated using a knowledge domain of trusted users in an Internet of Things (IoT) computing network. Entry access to the premise may be granted via the premise entry upon authenticating the identification information.

Abstract: Input text containing a plurality of patient information can be annotated for annotations and extracted. One or more annotations are parsed for relevant contextual information. The one or more annotations are assigned a semantic type. The one or more annotations are visually isolated, personalized to a user profile job, and outputted. The one or more extracted annotations are subjected to natural language processing operations.

Abstract: An embodiment of the invention provides a method wherein a database query including a first constraint and additional constraint(s) are received in a first node. Data in the first node that satisfies the first constraint is identified, encoded, and sent to a second node. Encoded data is identified in a mapping table in the second node; and, one or more missing identifiers are identified that include encoded data that is not in the mapping table. The missing identifier is sent to the first node, decoded to retrieve the value of the missing identifier, and mapped to the retrieved value. The mapping of the missing identifier and the retrieved value are sent to the second node. A dictionary in the second node is queried with the retrieved value to identify an identification number for the retrieved value. The missing identifier is mapped to the identification number for the retrieved value.

Abstract: Embodiments for intelligent premise security access management by a processor. Identification information of a user requesting access to enter a premise via a premise entry may be authenticated using a knowledge domain of trusted users in an Internet of Things (IoT) computing network. Entry access to the premise may be granted via the premise entry upon authenticating the identification information.