Event Log Visualizer with Pattern Search and Process Map Creation

The problem of exploring large amounts of data is popular nowadays. In current project system for exploring large event logs is presented. The system is client-server and allows scientist to use powerful server for computations while working on weak computer. “Job subsystem” was implemented to handle heavy tasks that require a lot of resources and time. Also this software can create one of the most important log analysis report – process map. For its creation map-reduce approach and aggregation pipelines in Mongo database were used. While free analogs can handle only small logs, this system can handle logs with size of several gigabytes. Both client and server applications were developed with Microsoft .NET and C# language. MongoDB was used to store and handle data. The paper contains 51 pages, 3 sections, 40 illustrations, 25 bibliography items, 1 appendix. Keywords: log analysis, log visualization, big data, process mining, client-server, process map, Mongo database.