A dynamically distorted time warping distance measure between continuous bounded discrete-time series

A method comprising:

• accessing a first data structure that stores observed data describing attributes of an entity during a first time duration;
• accessing a plurality of second data structures that each store historical data describing attributes of another entity, the historical data having been previously obtained during respective second time durations, for each of the other entities, that are each equal in duration to the first time duration;
• filtering the plurality of second data structures to only include those second data structures storing historical data describing attributes of at least one of the other entities that satisfy a similarity threshold, wherein the similarity threshold defines a relationship between the observed data and the historical data based on a distorted distance measure;
• collapsing the remaining second data structures into one or more representative data series that each include representative data attributes that are representative of the historical data describing attributes of one or more of the remaining second data structures;
• and
• for each the one or more representative data series, generating, by the data processing system, a similarity based prediction related to an outcome for the entity based on (i) the observed data and (ii) the representative data attributes in the representative data series.

A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

• accessing a first data structure that stores observed data describing attributes of an entity during a first time duration;
• accessing a plurality of second data structures that each store historical data describing attributes of another entity, the historical data having been previously obtained during respective second time durations, for each of the other entities, that are each equal in duration to the first time duration;
• filtering the plurality of second data structures to only include those second data structures storing historical data describing attributes of at least one of the other entities that satisfy a similarity threshold, wherein the similarity threshold defines a relationship between the observed data and the historical data based on a distorted distance measure;
• collapsing the remaining second data structures into one or more representative data series that each include representative data attributes that are representative of the historical data describing attributes of one or more of the remaining second data structures;
• and
• for each the one or more representative data series, generating, by the data processing system, a similarity based prediction related to an outcome for the entity based on (i) the observed data and (ii) the representative data attributes in the representative data series.