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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 8 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
VLDB
2004
ACM
152views Database» more  VLDB 2004»
14 years 8 months ago
Balancing energy efficiency and quality of aggregate data in sensor networks
In-network aggregation has been proposed as one method for reducing energy consumption in sensor networks. In this paper, we explore two ideas related to further reducing energy co...
Mohamed A. Sharaf, Jonathan Beaver, Alexandros Lab...
VLDB
2007
ACM
138views Database» more  VLDB 2007»
14 years 8 months ago
CADS: Continuous Authentication on Data Streams
We study processing and authentication of long-running queries on outsourced data streams. In this scenario, a data owner (DO) constantly transmits its data to a service provider ...
Stavros Papadopoulos, Yin Yang, Dimitris Papadias
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
14 years 8 months ago
Robust and efficient algorithms for rank join evaluation
In the rank join problem we are given a relational join R1 1 R2 and a function that assigns numeric scores to the join tuples, and the goal is to return the tuples with the highes...
Jonathan Finger, Neoklis Polyzotis