What to do with the Social Networks in your Customer Data?
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  Jans Aasman   Jans Aasman
Franz Inc


Tuesday, April 30, 2013
10:20 AM - 11:10 AM

Level:  Introductory

Enterprises have collected large bodies of data that describe interactions between their customers. Consider the graph of telephone calls and SMS for a Telco, connections within emails and P2P services for an internet service provider, and links between payments by customers of financial institutions.

Relational databases are fundamentally unfit to explore the graph within a social network and Big Data solutions (Hadoop, etc) are usually not meant to work with sparse graphs. The maturing capabilities of Graph Databases have made them the optimal approach to mine these social networks.

During this presentation, we will discuss applications of graph mining using two datasets.

One data set contains 2 million telephone users over a period of 30 days. The data consists of telephone calls and SMS. In addition we have for each person their physical location for most of the day. We will show how we analyze the social, geospatial and temporal information to create deep insights into the customer’s behavior.

The second dataset is anonymized information from an on-line bank in Asia. The data includes all payments from account to account along with details about links to each other through IP addresses, goods traded, location, etc. We will show how we can detect, in real time, whether an account executing a transaction is part of a group of accounts that is somehow linked to fraudulent activity.

Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004, he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans is currently the CEO of Franz Inc., the leading supplier of commercial, persistent, and scalable RDF database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Semantic Web applications.

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