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» Efficient Discovery of Confounders in Large Data Sets
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IPPS
1999
IEEE
15 years 10 months ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
VLDB
2007
ACM
197views Database» more  VLDB 2007»
16 years 6 months ago
Indexable PLA for Efficient Similarity Search
Similarity-based search over time-series databases has been a hot research topic for a long history, which is widely used in many applications, including multimedia retrieval, dat...
Qiuxia Chen, Lei Chen 0002, Xiang Lian, Yunhao Liu...
KDD
2007
ACM
144views Data Mining» more  KDD 2007»
16 years 6 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
ICDE
2006
IEEE
146views Database» more  ICDE 2006»
16 years 7 months ago
Query Selection Techniques for Efficient Crawling of Structured Web Sources
The high quality, structured data from Web structured sources is invaluable for many applications. Hidden Web databases are not directly crawlable by Web search engines and are on...
Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma
PLDI
2009
ACM
16 years 7 months ago
Efficiently and precisely locating memory leaks and bloat
Inefficient use of memory, including leaks and bloat, remain a significant challenge for C and C++ developers. Applications with these problems become slower over time as their wo...
Gene Novark, Emery D. Berger, Benjamin G. Zorn