Paper at CIKM/CloudDB’12

Large-scale graphs, such as social networks, are highly dynamic and the ability to mine them in real time can enable better services, such as timely friend and content recommendation on social networks. In this paper, we present the basic concept behind our real-time graph mining system. We show how the technique of memoization can be used to transparently compute graph algorithms in an incremental fashion, speeding up the computation when the input graph changes.

Our paper at the CICM/CloudDB’12 workshop presents an initial study and some early results on our approach. Find a copy here.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s