{"id":627879,"date":"2018-07-12T09:00:11","date_gmt":"2018-07-12T16:00:11","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=627879"},"modified":"2019-12-18T16:08:25","modified_gmt":"2019-12-19T00:08:25","slug":"transaction-analyzer-using-graph-oriented-data-structures","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/transaction-analyzer-using-graph-oriented-data-structures\/","title":{"rendered":"Transaction Analyzer Using Graph-Oriented Data Structures"},"content":{"rendered":"

Techniques described herein relate to generating graph-oriented data structures based on cross-channel multi-user transaction and\/or interaction data from one or more data sources, Additional techniques relate to analyzing and processing transactions using the graph-oriented data structures. Transaction data may be received from various data sources, and analyzed to determine subsets of the transaction data relating to interactions between specific pairs of users. Graph-oriented data structures may be generated based on the subsets of transaction data relating to the specific pairs of users, and may be used to analyze and process transaction requests.<\/p>\n","protected":false},"excerpt":{"rendered":"

Techniques described herein relate to generating graph-oriented data structures based on cross-channel multi-user transaction and\/or interaction data from one or more data sources, Additional techniques relate to analyzing and processing transactions using the graph-oriented data structures. Transaction data may be received from various data sources, and analyzed to determine subsets of the transaction data relating 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