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KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 9 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
SIGMETRICS
2005
ACM
102views Hardware» more  SIGMETRICS 2005»
14 years 2 months ago
A statistical framework for efficient monitoring of end-to-end network properties
Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide measures ...
David B. Chua, Eric D. Kolaczyk, Mark Crovella
BMCBI
2007
123views more  BMCBI 2007»
13 years 8 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
TIME
1994
IEEE
14 years 29 days ago
An Algebraic Formulation of Temporal Knowledge for Reasoning about Recurring Events
We formulate an algebra of binary temporal relations between events the number of occurrences of which is unknown, but which are known to recur in time. Ontologically, we view the...
Robert A. Morris, William D. Shoaff, Lina Khatib
WWW
2008
ACM
14 years 9 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi