anomaly-detector | Detect anomaly in call detail records

anomaly-detector is a JavaScript library. anomaly-detector has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This dataset provides information about the telecommunication activity over the city. The dataset is the result of a computation over the Call Detail Records (CDRs) generated by the Telecom Italia cellular network over the city. CDRs log the user activity for billing purposes and network management. There are many types of CDRs, for the generation of this dataset we considered those related to the following activities: Received SMS: a CDR is generated each time a user receives an SMS Sent SMS: a CDR is generated each time a user sends an SMS Incoming Calls: a CDR is generated each time a user receives a call Outgoing Calls: CDR is generated each time a user issues a call Internet: a CDR is generate each time a user starts an internet connection a user ends an internet connection during the same connection one of the following limits is reached:​ 15 minutes from the last generated CDR 5 MB from the last generated CDR By aggregating the aforementioned records it was created this dataset that provides SMSs, calls and Internet traffic activity. It measures the level of interaction of the users with the mobile phone network; for example the higher is the number of SMS sent by the users, the higher is the activity of the sent SMS. Measurements of call and SMS activity have the same scale (therefore are comparable); those referring to Internet traffic do not. Files are in tsv format. If no activity was recorded for a field specified in the schema above then the corresponding value is missing from the file. For example, if for a given combination of the Square id s, the Time interval i and the Country code c no SMS was sent the corresponding record looks as follows: s \t i \t c \t \t SMSout \t Callin \t Callout \t Internettraffic where \t corresponds to the tab character, SMSout is the value corresponding to the SMS-out activity, Callin is the value corresponding to the Call-in activity, Callout is the value corresponding to the Call-out activity and internettraffic is the value corresponding to the Internet traffic activity. Moreover, if for a given combination of the Square id s, the Time interval i and the Country code c no activity is recorded the corresponding record is missing from the dataset. This means that records of the following type s \t i \t c \t \t \t \t \t are not stored in the dataset.