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University of Wisconsin-Milwaukee
(3 results)-
White Papers
Finding Diamonds in Data: Reflections on Teaching Data Mining From the Coal Face
May 21, 2009, 12:00am PDT
Making sense of the exponentially expanding sources of structured electronic data collected by organizations is increasingly difficult. Data mining is the extraction of implicit, previously...
Provided by University of Wisconsin-Milwaukee
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White Papers
A Heuristic Using GOSST With 2 Connecting Strategies for Minimum Construction Cost of Network
December 1, 2006, 12:00am PST
The goal of this research is to devise a heuristic to solve the GOSST (Grade Of Services Steiner Minimum Tree) problem that could apply to the design of communication networks. GOSST problem is to...
Provided by University of Wisconsin-Milwaukee
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White Papers
Behaviors Of Individual Analysts' Earnings Forecasts: Asymmetric Irrationality And Firm Effects
January 16, 2007, 12:00am PST
In this paper the authors reexamine individual analysts' rationality in earnings forecasts using a two-way (analyst versus firm) fixed effect analysis on parameters of an AR(1) model that...
Provided by University of Wisconsin-Milwaukee
-
White Papers
Behaviors Of Individual Analysts' Earnings Forecasts: Asymmetric Irrationality And Firm Effects
January 16, 2007, 12:00am PST
In this paper the authors reexamine individual analysts' rationality in earnings forecasts using a two-way (analyst versus firm) fixed effect analysis on parameters of an AR(1) model that...
Provided by University of Wisconsin-Milwaukee
-
White Papers
A Heuristic Using GOSST With 2 Connecting Strategies for Minimum Construction Cost of Network
December 1, 2006, 12:00am PST
The goal of this research is to devise a heuristic to solve the GOSST (Grade Of Services Steiner Minimum Tree) problem that could apply to the design of communication networks. GOSST problem is to...
Provided by University of Wisconsin-Milwaukee
-
White Papers
Finding Diamonds in Data: Reflections on Teaching Data Mining From the Coal Face
May 21, 2009, 12:00am PDT
Making sense of the exponentially expanding sources of structured electronic data collected by organizations is increasingly difficult. Data mining is the extraction of implicit, previously...
Provided by University of Wisconsin-Milwaukee
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