Method for Defining and Computing Analytic Features
A system, method, and computer-readable medium are disclosed for constructing a distribution of interrelated event features. In various embodiments constructing the distribution includes: receiving a stream of events, the stream of events comprising a plurality of events; generating a query relating to the plurality of events, the query comprising condition information, the condition information defining a subset of query relevant events; processing the query relating to the plurality of events, extracting features from the plurality of events based upon the query; constructing a distribution of the features from the plurality of events based upon the query; and, analyzing the distribution of the features from the plurality of events based upon the query.
1 . A computer-implementable method for constructing a distribution of interrelated event features, comprising:
receiving a stream of events, the stream of events comprising a plurality of events;
generating a query relating to the plurality of events, the query comprising condition information, the condition information defining a subset of query relevant events;
processing the query relating to the plurality of events,
extracting features from the plurality of events based upon the query;
constructing a distribution of the features from the plurality of events based upon the query; and,
analyzing the distribution of the features from the plurality of events based upon the query.
2 . The method of claim 1 , wherein:
the query comprises a domain specific language (DSL) query.
3 . The method of claim 2 , wherein:
the DSL query comprises a plurality of Boolean predicates.
4 . The method of claim 3 , wherein:
the plurality of Boolean predicates comprise a matching query predicate and a conditioning query predicate.
5 . The method of claim 4 , wherein:
the analyzing the distribution of features is performed by a DSL query processing module.
6 . The method of claim 5 , wherein:
the conditioning query is implemented to cause the DSL query processing module to identify a subset of conditions of analytic utility.
7 . A system comprising:
a processor;
a data bus coupled to the processor; and
a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
receiving a stream of events, the stream of events comprising a plurality of events;
generating a query relating to the plurality of events, the query comprising condition information, the condition information defining a subset of query relevant events;
processing the query relating to the plurality of events,
extracting features from the plurality of events based upon the query;
constructing a distribution of the features from the plurality of events based upon the query; and,
analyzing the distribution of the features from the plurality of events based upon the query.
8 . The system of claim 7 , wherein:
the query comprises a domain specific language (DSL) query.
9 . The system of claim 8 , wherein:
the DSL query comprises a plurality of Boolean predicates.
10 . The system of claim 9 , wherein:
the plurality of Boolean predicates comprise a matching query predicate and a conditioning query predicate.
11 . The system of claim 10 , wherein:
the analyzing the distribution of features is performed by a DSL query processing module.
12 . The system of claim 11 , wherein:
the conditioning query is implemented to cause the DSL query processing module to identify a subset of conditions of analytic utility.
13 . A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
receiving a stream of events, the stream of events comprising a plurality of events;
generating a query relating to the plurality of events, the query comprising condition information, the condition information defining a subset of query relevant events;
processing the query relating to the plurality of events,
extracting features from the plurality of events based upon the query;
constructing a distribution of the features from the plurality of events based upon the query; and,
analyzing the distribution of the features from the plurality of events based upon the query.
14 . The non-transitory, computer-readable storage medium of claim 13 , wherein:
the query comprises a domain specific language (DSL) query.
15 . The non-transitory, computer-readable storage medium of claim 14 , wherein:
the DSL query comprises a plurality of Boolean predicates.
16 . The non-transitory, computer-readable storage medium of claim 15 , wherein:
the plurality of Boolean predicates comprise a matching query predicate and a conditioning query predicate.
17 . The non-transitory, computer-readable storage medium of claim 16 , wherein:
the analyzing the distribution of features is performed by a DSL query processing module.
18 . The non-transitory, computer-readable storage medium of claim 17 , wherein:
the conditioning query is implemented to cause the DSL query processing module to identify a subset of conditions of analytic utility.
19 . The non-transitory, computer-readable storage medium of claim 13 , wherein the computer executable instructions are deployable to a client system from a server system at a remote location.
20 . The non-transitory, computer-readable storage medium of claim 13 , wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.