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KDD
2006
ACM
143views Data Mining» more  KDD 2006»
14 years 5 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...
SIGMOD
2008
ACM
111views Database» more  SIGMOD 2008»
14 years 5 months ago
Discovering bucket orders from full rankings
Discovering a bucket order B from a collection of possibly noisy full rankings is a fundamental problem that relates to various applications involving rankings. Informally, a buck...
Jianlin Feng, Qiong Fang, Wilfred Ng
EURODAC
1995
IEEE
112views VHDL» more  EURODAC 1995»
13 years 8 months ago
On implementation choices for iterative improvement partitioning algorithms
Iterative improvement partitioning algorithms such as the FM algorithm of Fiduccia and Mattheyses 8 , the algorithm of Krishnamurthy 13 , and Sanchis's extensions of these al...
Lars W. Hagen, Dennis J.-H. Huang, Andrew B. Kahng
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
13 years 9 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
VLDB
2004
ACM
119views Database» more  VLDB 2004»
14 years 5 months ago
Evaluating holistic aggregators efficiently for very large datasets
Indatawarehousingapplications,numerousOLAP queries involve the processing of holistic aggregators such as computing the "top n," median, quantiles, etc. In this paper, we...
Lixin Fu, Sanguthevar Rajasekaran