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ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
13 years 9 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
TKDE
2008
117views more  TKDE 2008»
13 years 11 months ago
Competitor Mining with the Web
This paper is concerned with the problem of mining competitors from the Web automatically. Nowadays, the fierce competition in the market necessitates every company to know not onl...
Shenghua Bao, Rui Li, Yong Yu, Yunbo Cao
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
14 years 11 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
JCP
2007
148views more  JCP 2007»
13 years 11 months ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
COMPSEC
2010
122views more  COMPSEC 2010»
13 years 9 months ago
Taming role mining complexity in RBAC
In this paper we address the problem of reducing the role mining complexity in RBAC systems. To this aim, we propose a three steps methodology: first, we associate a weight to rol...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...