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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 11 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
15 years 11 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
15 years 11 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
VLDB
2004
ACM
128views Database» more  VLDB 2004»
15 years 11 months ago
Operator scheduling in data stream systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or realtime query responses in su...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
SIGMOD
2005
ACM
119views Database» more  SIGMOD 2005»
15 years 11 months ago
Update-Pattern-Aware Modeling and Processing of Continuous Queries
A defining characteristic of continuous queries over on-line data streams, possibly bounded by sliding windows, is the potentially infinite and time-evolving nature of their input...
Lukasz Golab, M. Tamer Özsu