Service Now -Cherwell Integration
In this Rest based Service Now-Cherwell integration ,Once Incident ticket is created in service now, generate corresponding incident ticket in Cherwell and once service now ticket is closed then related incident ticket in Cherwell need to be closed.
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Service Now -Jira Integration
In this Rest based Service Now-Jira integration ,once the Incident ticket is created in Service Now, a corresponding Jira bug is created in Jira. Also this integration has feature to add comments and update status of Jira bug, based on incident updated in Service Now.
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Creating Incident ticket using email engine in Service Now
In this Scenario, create incident ticket based on rule configured in Service Now. For this scenario we’ll do outbound email and inbound email configurations. Inbound email will parse the incoming email and generate incident ticket in Service Now based on field mapping. Outbound email will send notification to requester/caller of the ticket.
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Incremental Temporal Mining in JAVA
In this Scenario,Incremental temporal mining which refers to the issue of maintaining the discovered patterns over time in the presence of more items being added into the database. Because of the mostly append only nature of updating time-series data, incremental mining would be very effective and efficient. For extremely large data sets, non-incremental algorithms may not be applicable at all. We apply proposed algorithms to real datasets to make the comparison of Incremental temporal mining and non-Incremental temporal mining.
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Closed+ high Utility item sets Discovery Using Hadoop Technology in JAVA
In this Scenario, we do mine a high utility item sets from a database. Algorithm named CHUD (Closed+ high Utility item sets Discovery) to find concise representation is further enhanced by implementing the CHUD based on pattern generated from FP growth in Hadoop. A DAHU (Drive All High Utility Itemstes) method is introduce to retrieve all HUIs from set of CHUIs without accessing original databases.Using Hadoop technology the system with less data set which required more memory can be analyzed in low memory based system with the help of distributed file system.
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