Abstract: A system and method for identifying a location using image recognition. STR listing images are analyzed and assigned an archetype. Optionally, STR listing images are analyzed with an object detection model and associated with archetypes. The STR dwelling unit type may be determined from the combination of STR image archetypes. A location for the STR listing may then be determined by comparing to images of dwelling units retrieved from databases.

Abstract: A case based reasoning system and method for determining a root cause of a problem case. A case database stores case data correlated to a plurality of cases. The plurality of cases includes at least one solved case, and at least one trigger case. Each solved case in the case database includes root cause data, and each trigger case comprises a data link to at least one fault isolation manual process for determining a root cause. A processor determines a list of at least one potential case selected from said plurality of cases by comparing the at least one problem attribute value to the set of attribute values for each of the plurality of cases.

Abstract: A case based reasoning system and method for matching a problem case to at least one solved case. A solved case database stores solved case data correlated to a plurality of solved cases. An attribute database stores a set of attributes and observation cost data corresponding to each of the attributes, such that the observation cost data corresponding to an attribute is correlated to a cost of determining an attribute value corresponding to the attribute. A set of potential solved cases is determined. A set of relevant attributes for which at least one potential solved case has an attribute value and for which no corresponding problem attribute value has been input is determined and ranked based on the observation cost data for each relevant attribute.

Abstract: A case based reasoning system and method for determining a root cause of a problem case. A case database stores case data correlated to a plurality of cases. The plurality of cases includes at least one solved case, and at least one trigger case. Each solved case in the case database includes root cause data, and each trigger case comprises a data link to at least one fault isolation manual process for determining a root cause. A processor determines a list of at least one potential case selected from said plurality of cases by comparing the at least one problem attribute value to the set of attribute values for each of the plurality of cases.

Abstract: A case based reasoning system and method for matching a problem case to at least one solved case. A solved case database stores solved case data correlated to a plurality of solved cases. An attribute database stores a set of attributes and observation cost data corresponding to each of the attributes, such that the observation cost data corresponding to an attribute is correlated to a cost of determining an attribute value corresponding to the attribute. A set of potential solved cases is determined. A set of relevant attributes for which at least one potential solved case has an attribute value and for which no corresponding problem attribute value has been input is determined and ranked based on the observation cost data for each relevant attribute.