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AAAI
2007
13 years 9 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash
PAKDD
1998
ACM
103views Data Mining» more  PAKDD 1998»
13 years 11 months ago
Discovering Case Knowledge Using Data Mining
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
ICANN
2003
Springer
14 years 19 days ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung
ACSC
2002
IEEE
14 years 11 days ago
Bandwidth Reservation Strategies for Mobility Support of Wireless Connections with QoS Guarantees
This paper examines QoS guarantees for bandwidth in mobile wireless networks, with a focus on reducing dropped connections on handoff. We can achieve this by reserving bandwidth f...
R. Hutchens, S. Singh
IPCCC
2006
IEEE
14 years 1 months ago
dRamDisk: efficient RAM sharing on a commodity cluster
Recent work on distributed RAM sharing has largely focused on leveraging low-latency networking technologies to optimize remote memory access. In contrast, we revisit the idea of ...
Vassil Roussev, Golden G. Richard III, Daniel Ting...