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» Challenges for Data Mining in Distributed Sensor Networks
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CLOUD
2010
ACM
14 years 1 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
ICDCS
2012
IEEE
11 years 11 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
ASPLOS
1998
ACM
14 years 1 months ago
A Cost-Effective, High-Bandwidth Storage Architecture
This paper describes the Network-Attached Secure Disk (NASD) storage architecture, prototype implementations of NASD drives, array management for our architecture, and three files...
Garth A. Gibson, David Nagle, Khalil Amiri, Jeff B...
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 4 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
ICNP
1998
IEEE
14 years 1 months ago
Darwin: Customizable Resource Management for Value-Added Network Services
The Internet is rapidly changing from a set of wires and switches that carry packets into a sophisticated infrastructure that delivers a set of complex value-added services to end...
Prashant R. Chandra, Allan Fisher, Corey Kosak, T....