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CIKM
2011
Springer
13 years 11 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 2 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
114
Voted
ECOOP
2012
Springer
13 years 2 months ago
Static Detection of Loop-Invariant Data Structures
As a culture, object-orientation encourages programmers to create objects, both short- and long-lived, without concern for cost. Excessive object creation and initialization can ca...
Guoqing (Harry) Xu, Dacong Yan, Atanas Rountev
EDBT
2012
ACM
228views Database» more  EDBT 2012»
13 years 2 months ago
Towards scalable data integration under constraints
In this paper we consider the problem of answering queries using views, with or without ontological constraints, which is important for data integration, query optimization, and d...
George Konstantinidis, José Luis Ambite
WWW
2007
ACM
16 years 9 days ago
Netprobe: a fast and scalable system for fraud detection in online auction networks
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? This paper describes the design and implemen...
Shashank Pandit, Duen Horng Chau, Samuel Wang, Chr...
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