Abstract: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.

Abstract: Embodiments for providing clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be automatically generated according for one or more cohorts using evidence data and patient data from one or more data sources.

Abstract: Embodiments for implementing intelligent ranking of sections of clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be identified and analyzed. A score may be assigned to one or more sections of the CPGs according evidential data identified in one or more data sources. The one or more sections of the CPGs may be ranked according to the scoring.

Abstract: Embodiments for implementing intelligent recommendations of convenient event opportunities by a processor. A group of entities may be identified for one or more event opportunities or the one or more event opportunities may be identified for the group of entities according to one or more entity selection criteria and one or more event criteria. The one or more event opportunities and the group of entities may be matched according to a level of convenience for attending the one or more event opportunities of the group of entities. The one or more matching event opportunities may be ranked and suggested to the group of entities.

Abstract: Various embodiments are provided for providing intelligent policy coverage optimization in a computing environment by a processor. One or more policy coverage gaps in one or more operational rules defined by one or more rules, policies, or a combination thereof and associated with one or more non-compliant policy claims associated with the one or more policy coverage gaps may be identified. The one or more policy coverage gaps may be ranked according to one or more selected criteria.

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: Techniques are described for extracting structured information from unstructured documents based on validation of the structured information as applied to a domain problem associated with the unstructured documents. In one embodiment, a computer program product for automated information extraction is provided. The computer program product comprising a computer readable storage medium having program executable by a processing component to cause the processing component to extract structured candidate interpretations of a rule from unstructured information that defines a plurality of rules intended to control operations of a system, and determine measures of validity of the structured candidate interpretations based on application of the candidate policy interpretations to historical operational data for the system that represents operations performed by the system.

Abstract: Embodiments for intelligent learning for explaining anomalies to a user by a processor. One or more anomalous records may be identified in a knowledge base. A list of ranked candidate explanations may be generated for the one or more anomalous records. An active learning dialog may be initiated with one or more users to increase accuracy of the knowledge base, a domain knowledge, and each of the ranked candidate explanations.

Abstract: Various embodiments are provided for providing intelligent policy coverage optimization in a computing environment by a processor. One or more policy coverage gaps in one or more operational rules defined by one or more rules, policies, or a combination thereof and associated with one or more non-compliant policy claims associated with the one or more policy coverage gaps may be identified. The one or more policy coverage gaps may be ranked according to one or more selected criteria.

Abstract: Embodiments for implementing intelligent ranking of sections of clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be identified and analyzed. A score may be assigned to one or more sections of the CPGs according evidential data identified in one or more data sources. The one or more sections of the CPGs may be ranked according to the scoring.

Abstract: Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.

Abstract: Embodiments for providing clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be automatically generated according for one or more cohorts using evidence data and patient data from one or more data sources.

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: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: Various embodiments are provided for correcting policy data in a computing environment by a processor. Incorrect data of one or more rules extracted from one or more segments of text data may be revised to maintain accuracy and correctness of the policy data source according to an active learning operation.

Abstract: Embodiments for implementing intelligent recommendations of convenient event opportunities by a processor. A group of entities may be identified for one or more event opportunities or the one or more event opportunities may be identified for the group of entities according to one or more entity selection criteria and one or more event criteria. The one or more event opportunities and the group of entities may be matched according to a level of convenience for attending the one or more event opportunities of the group of entities. The one or more matching event opportunities may be ranked and suggested to the group of entities.

Abstract: Techniques are described for extracting structured information from unstructured documents based on validation of the structured information as applied to a domain problem associated with the unstructured documents. In one embodiment, a computer program product for automated information extraction is provided. The computer program product comprising a computer readable storage medium having program executable by a processing component to cause the processing component to extract structured candidate interpretations of a rule from unstructured information that defines a plurality of rules intended to control operations of a system, and determine measures of validity of the structured candidate interpretations based on application of the candidate policy interpretations to historical operational data for the system that represents operations performed by the system.

Abstract: Embodiments for intelligent learning for explaining anomalies to a user by a processor. One or more anomalous records may be identified in a knowledge base. A list of ranked candidate explanations may be generated for the one or more anomalous records. An active learning dialog may be initiated with one or more users to increase accuracy of the knowledge base, a domain knowledge, and each of the ranked candidate explanations.