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DATAMINE
2007
93views more  DATAMINE 2007»
14 years 11 months ago
Evaluation of ordinal attributes at value level
We propose a novel context sensitive algorithm for evaluation of ordinal attributes which exploits the information hidden in ordering of attributes’ and class’ values and prov...
Marko Robnik-Sikonja, Koen Vanhoof
AAAI
2012
13 years 1 months ago
Adaptive Polling for Information Aggregation
The flourishing of online labor markets such as Amazon Mechanical Turk (MTurk) makes it easy to recruit many workers for solving small tasks. We study whether information elicita...
Thomas Pfeiffer, Xi Alice Gao, Yiling Chen, Andrew...
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 1 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
103
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CORR
2008
Springer
142views Education» more  CORR 2008»
14 years 11 months ago
Social networks that matter: Twitter under the microscope
Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, soc...
Bernardo A. Huberman, Daniel M. Romero, Fang Wu
ACMICEC
2007
ACM
102views ECommerce» more  ACMICEC 2007»
15 years 3 months ago
Learning to trade with insider information
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
Sanmay Das