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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
EDM
2009
125views Data Mining» more  EDM 2009»
14 years 7 months ago
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collabo...
Antonio R. Anaya, Jesus Boticario
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 3 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
86
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SBACPAD
2007
IEEE
121views Hardware» more  SBACPAD 2007»
15 years 3 months ago
DTA-C: A Decoupled multi-Threaded Architecture for CMP Systems
One way to exploit Thread Level Parallelism (TLP) is to use architectures that implement novel multithreaded execution models, like Scheduled DataFlow (SDF). This latter model pro...
Roberto Giorgi, Zdravko Popovic, Nikola Puzovic
EDBT
2006
ACM
191views Database» more  EDBT 2006»
15 years 9 months ago
Parallelizing Skyline Queries for Scalable Distribution
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...