Hi, Have you published that work so that I could go through it!
On Monday, February 6, 2017 at 4:39:34 AM UTC+3, Kamal Murthy wrote: > > Hi, > > I Developed a graph model (with time series) from a relational model to > store call detail records (CDR) in nodes, relationships and properties. > Developed Cypher queries to identify calls that were answered, abandoned, > sent to voice mail direct etc., and produced tabular data. Identified the > telephone numbers that never answered the incoming calls along with other > metrics. > > -Kamal > > > On Tuesday, November 1, 2016 at 3:18:20 AM UTC-7, Michael Hunger wrote: >> >> Hey, >> >> we've done a large scale CDR project at a major Telco company. That one >> was mostly around accounting and recommendations. >> >> Fraud detection would require a different model, but my colleague who >> worked on that said if you're interested, feel free to contact us >> officially <https://neo4j.com/contact-us/> for a discussion / evaluation. >> >> In general i would take the entities you mentioned and the questions >> you're asking and draw the whiteboard model that allows you easily to >> answer the questions. >> Then take a months worth of data and import it into the model. The cypher >> queries should mostly look like "query by example" on your model structure >> with some aggregation and ranking. >> >> Michael >> >> On Sun, Oct 30, 2016 at 3:11 PM, Craig Taverner <cr...@amanzi.com> wrote: >> >>> In my previous work I did data modeling of telecoms networks, including >>> modeling various event log data (including CDR data), and building >>> statistics trees on the event logs for later querying. Take a look at the >>> presentation I gave at graphconnect NY 2013 for some ideas of what we did: >>> >>> - Slides: >>> http://www.slideshare.net/craigtaverner/modeling-in-telecoms-2013 >>> (especially slides 27-29 & 32-33) >>> - Video: https://vimeo.com/79390660 >>> >>> While you could just import a CDR log as a long chain of events, what >>> you want to do is connect events into category trees, or time trees, or >>> some other graph structure, at load time (the trees should be built while >>> importing the data), leading to the possiblity to write Cypher queries that >>> simply ask pattern questions (match the trees) to get the answers you want. >>> Some obvious examples from the above: >>> >>> - Connect calls from specific phones to 'phone nodes' (do the same >>> for both caller and callee, see slide 32). >>> - If you have large volumes of data, consider intermediate nodes >>> (for example if you always ask about specific phones within time ranges, >>> then make intermediate nodes time-phone nodes, eg. a single node for >>> each >>> phone on each day/date). >>> - A time tree for time range queries (eg. the very long call query >>> above). >>> >>> I cannot comment on 'simbox' because I don't know what that means. Watch >>> the video and see if you get ideas on how to model it yourself, otherwise >>> ask again. >>> >>> >>> >>> On Sat, Oct 29, 2016 at 4:41 PM, Fares <emsa...@gmail.com> wrote: >>> >>>> Dear all, >>>> >>>> I am trying to use neo4j for anomaly detection in mobile network data >>>> (CDRs). This means that I am trying to detect abnormal customers behavior. >>>> The format of the records may change from company to company but the >>>> most common attributes are: >>>> • Caller and called Identification Number; >>>> • Date and time; >>>> • Type of Service (Voice Call, SMS, etc...) ; >>>> • Duration; • Network access point identifiers; >>>> • Others; >>>> >>>> I am trying to model such data using Neo4j and then use cypher queries >>>> to detect abnormal customers behaviors >>>> Have any one seen or worked with a similar example? >>>> >>>> examples of the scenarios that I am interested in are >>>> 1- a call which is very long >>>> 2- what are the access points which are used by more users compared to >>>> the other access points? >>>> 3- Detect Simbox or interconnect Bypass fraud. How to knows whether the >>>> call is normal call or Simbox? >>>> 4- a phone number (a) which call another phone number (b) more that (x) >>>> times every day? >>>> >>>> Kind regards >>>> >>>> -- >>>> You received this message because you are subscribed to the Google >>>> Groups "Neo4j" group. >>>> To unsubscribe from this group and stop receiving emails from it, send >>>> an email to neo4j+un...@googlegroups.com. >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>> >>> -- >>> You received this message because you are subscribed to the Google >>> Groups "Neo4j" group. >>> To unsubscribe from this group and stop receiving emails from it, send >>> an email to neo4j+un...@googlegroups.com. >>> For more options, visit https://groups.google.com/d/optout. >>> >> >> -- You received this message because you are subscribed to the Google Groups "Neo4j" group. To unsubscribe from this group and stop receiving emails from it, send an email to neo4j+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
