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» Large Scale Data Mining: Challenges and Responses
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ICMCS
2009
IEEE
147views Multimedia» more  ICMCS 2009»
15 years 3 months ago
Not all tags are created equal: Learning flickr tag semantics for global annotation
Large collaborative datasets offer the challenging opportunity of creating systems capable of extracting knowledge in the presence of noisy data. In this work we explore the abili...
Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjuna...
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
15 years 4 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
ICDE
2004
IEEE
116views Database» more  ICDE 2004»
16 years 7 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
ICDE
2008
IEEE
120views Database» more  ICDE 2008»
16 years 17 days ago
Rethinking the design of distributed stream processing systems
In this paper, we present a novel architecture to support large scale stream processing services in a widely distributed environment. The proposed system, COSMOS, distinguishes it...
Yongluan Zhou, Karl Aberer, Ali Salehi, Kian-Lee T...
PVLDB
2008
107views more  PVLDB 2008»
15 years 5 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald