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» Large Scale Data Mining: Challenges and Responses
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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
VLDB
1998
ACM
94views Database» more  VLDB 1998»
15 years 10 months ago
Issues in Developing Very Large Data Warehouses
The size of The Boeing Company posts some stringent requirements on data warehouse design and implementation. We summarize four interesting and challenging issues in developing ve...
Lyman Do, Pamela Drew, Wei Jin, Vish Jumani, David...
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
16 years 20 days ago
Online System Problem Detection by Mining Patterns of Console Logs
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
KDD
2006
ACM
107views Data Mining» more  KDD 2006»
16 years 6 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...
IPPS
1996
IEEE
15 years 10 months ago
Study of Scalable Declustering Algorithms for Parallel Grid Files
Efficient storage and retrieval of large multidimensional datasets is an important concernfor large-scale scientific computations such as long-running time-dependent simulations w...
Bongki Moon, Anurag Acharya, Joel H. Saltz