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229
Voted
PODS
2009
ACM
130views Database» more  PODS 2009»
16 years 4 months ago
Secondary indexing in one dimension: beyond b-trees and bitmap indexes
Let be a finite, ordered alphabet, and consider a string x = x1x2 . . . xn n . A secondary index for x answers alphabet range queries of the form: Given a range [al, ar] , retu...
Rasmus Pagh, Srinivasa Rao Satti
133
Voted
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 4 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
130
Voted
KDD
2004
ACM
109views Data Mining» more  KDD 2004»
16 years 4 months ago
Identifying early buyers from purchase data
Market research has shown that consumers exhibit a variety of different purchasing behaviors; specifically, some tend to purchase products earlier than other consumers. Identifyin...
Paat Rusmevichientong, Shenghuo Zhu, David Selinge...
170
Voted
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 4 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
141
Voted
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
16 years 4 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
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