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ICPADS
2010
IEEE
13 years 6 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
ICSE
2001
IEEE-ACM
14 years 1 months ago
Supporting Program Comprehension Using Semantic and Structural Information
The paper focuses on investigating the combined use of semantic and structural information of programs to support the comprehension tasks involved in the maintenance and reenginee...
Jonathan I. Maletic, Andrian Marcus
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 3 months ago
Clustering Uncertain Data with Possible Worlds
The topic of managing uncertain data has been explored in many ways. Different methodologies for data storage and query processing have been proposed. As the availability of manag...
Peter Benjamin Volk, Frank Rosenthal, Martin Hahma...
DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 10 months ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
CCGRID
2008
IEEE
14 years 3 months ago
Optimized Distributed Data Sharing Substrate in Multi-core Commodity Clusters: A Comprehensive Study with Applications
Distributed applications tend to have a complex design due to issues such as concurrency, synchronization and communication. Researchers in the past have proposed abstractions to ...
Karthikeyan Vaidyanathan, Ping Lai, Sundeep Narrav...