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 Out-of-Core and Distributed Algorithms for Dense Subtensor Mining
 Authors: Kijung Shin, Bryan Hooi, Jisu Kim, and Christos Faloutsos

 Version: 2.0
 Date: September 4, 2017
 Main Contact: Kijung Shin (kijungs@cs.cmu.edu)

 This software is free of charge under research purposes.
 For commercial purposes, please contact the author.

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D-Cube (Disk-based Dense-block Detection) is an algorithm for detecting dense blocks in web-scale tensors. 
D-Cube has the following properties:
 - scalable: D-Cube handles large data not fitting in memory or even on a disk.
 - fast: Even when data fit in memory, D-Cube outperforms its competitors in terms of speed.
 - accurate: D-Cube gives high accuracy in real-world data as well as theoretical accuracy guarantees.

For detailed information, see 'user_guide.pdf'

For demo, type 'make'
