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OSDI
2004
ACM
16 years 2 days ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
ICWS
2009
IEEE
14 years 9 months ago
A MapReduce-Enabled Scientific Workflow Composition Framework
MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerf...
Xubo Fei, Shiyong Lu, Cui Lin
TKDE
2012
278views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Data Cube Materialization and Mining over MapReduce
—Computing interesting measures for data cubes and subsequent mining of interesting cube groups over massive datasets are critical for many important analyses done in the real wo...
Arnab Nandi, Cong Yu, Philip Bohannon, Raghu Ramak...
IDEAL
2005
Springer
15 years 5 months ago
Combining Influence Maps and Cellular Automata for Reactive Game Agents
Agents make up an important part of game worlds, ranging from the characters and monsters that live in the world to the armies that the player controls. Despite their importance, a...
Penelope Sweetser, Janet Wiles
IJCNN
2008
IEEE
15 years 6 months ago
Lazy Self-Organizing Map and its behaviors
— The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo Kohonen. This study proposes the Lazy SelfOrganizing Map...
Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishi...