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» New Data Structures for Orthogonal Range Searching
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AI
2003
Springer
15 years 9 months ago
Efficient Mining of Indirect Associations Using HI-Mine
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An
SIGMOD
2000
ACM
143views Database» more  SIGMOD 2000»
15 years 8 months ago
Closest Pair Queries in Spatial Databases
This paper addresses the problem of finding the K closest pairs between two spatial data sets, where each set is stored in a structure belonging in the R-tree family. Five diffe...
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
CVPR
2012
IEEE
13 years 6 months ago
The inverted multi-index
A new data structure for efficient similarity search in very large datasets of high-dimensional vectors is introduced. This structure called the inverted multi-index generalizes ...
Artem Babenko, Victor S. Lempitsky
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 4 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
SOSP
2009
ACM
16 years 1 months ago
Improving application security with data flow assertions
RESIN is a new language runtime that helps prevent security vulnerabilities, by allowing programmers to specify application-level data flow assertions. RESIN provides policy obje...
Alexander Yip, Xi Wang, Nickolai Zeldovich, M. Fra...