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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 8 months ago
DOULION: counting triangles in massive graphs with a coin
Counting the number of triangles in a graph is a beautiful algorithmic problem which has gained importance over the last years due to its significant role in complex network analy...
Charalampos E. Tsourakakis, U. Kang, Gary L. Mille...
ISVC
2009
Springer
14 years 1 months ago
Energetic Path Finding across Massive Terrain Data
Throughout history, the primary means of transportation for humans has been on foot. We present a software tool which can help visualize and predict where historical trails might l...
Andrew Tsui, Zoë J. Wood
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
PVLDB
2010
150views more  PVLDB 2010»
13 years 5 months ago
DataGarage: Warehousing Massive Performance Data on Commodity Servers
Contemporary datacenters house tens of thousands of servers. The servers are closely monitored for operating conditions and utilizations by collecting their performance data (e.g....
Charles Loboz, Slawek Smyl, Suman Nath
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
14 years 7 days ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu