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[1] Shaoning Pang,et al. Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[2] Gerhard Schwabe,et al. The Focus Problem in Mobile Learning , 2006 .
[3] Sachin Gupta,et al. A Direct Approach to Predicting Discretized Response in Target Marketing , 2004 .
[4] Marcus A. Maloof,et al. Dynamic weighted majority: a new ensemble method for tracking concept drift , 2003, Third IEEE International Conference on Data Mining.
[5] Xueming Luo,et al. Contextual Marketing and Customer-Orientation Strategy for E-Commerce: An Empirical Analysis , 2003, Int. J. Electron. Commer..
[6] F. F. Reichheld,et al. Zero defections: quality comes to services. , 1990, Harvard business review.
[7] Filippo Menczer,et al. Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms , 2005, Manag. Sci..
[8] Udo Bankhofer,et al. Data Mining und seine betriebswirtschaftliche Relevanz , 2005 .
[9] J. Hagel,et al. Net gain: Expanding markets through virtual communities , 1999 .
[10] Jonathan N. Crook,et al. Credit Scoring and Its Applications , 2002, SIAM monographs on mathematical modeling and computation.
[11] Ralf Klinkenberg,et al. Boosting classifiers for drifting concepts , 2007, Intell. Data Anal..
[12] Gerhard Schwabe,et al. Objekte der Gruppenarbeit: ein Konzept für das Computer aided Team , 1995 .
[13] Rainer Kuhlen,et al. Was bedeutet informationelle Autonomie oder wie kann Vertrauen in elektronische Dienste in offenen Informationsmärkten gesichert werden , 1999 .
[14] Marco Prestipino,et al. Supporting Collaborative Information Spaces for Tourists , 2004, MuC.
[15] Guoping Wang,et al. Learning with progressive transductive Support Vector Machine , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[16] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[17] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[18] Gerhard Schwabe,et al. Mobile learning with a mobile game: design and motivational effects , 2005, J. Comput. Assist. Learn..
[19] Antônio de Pádua Braga,et al. An evolutionary approach to transduction in support vector machines , 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).
[20] Michael J. A. Berry,et al. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management , 2004 .
[21] Wagner A. Kamakura,et al. Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models , 2006 .
[22] Yoram Singer,et al. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers , 2000, J. Mach. Learn. Res..
[23] Francesco Ricci,et al. DIETORECS: Travel Advisory for Multiple Decision Styles , 2003, ENTER.
[24] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[25] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[26] Dale Goodhue,et al. Task-Technology Fit and Individual Performance , 1995, MIS Q..
[27] David J. Hand,et al. A survey of the issues in consumer credit modelling research , 2005, J. Oper. Res. Soc..
[28] Jan Marco Leimeister,et al. Success factors of virtual communities from the perspective of members and operators: an empirical study , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.
[29] Ayhan Demiriz,et al. Semi-Supervised Support Vector Machines , 1998, NIPS.
[30] Stefan Voß,et al. Grundlagen der Wirtschaftsinformatik , 2001 .
[31] Dimitrios Buhalis. Strategic use of information technologies in the tourism industry , 1998 .
[32] Peter Mertens,et al. Geschichte und ausgewählte Gegenwartsprobleme der Wirtschaftsinformatik , 1999 .
[33] D. Fesenmaier,et al. Defining the virtual tourist community: implications for tourism marketing , 2002 .
[34] Gunther Schiefer,et al. m-Advertising: Werbung mit mobilen Endgeräten - ein Überblick , 2006, MMS.
[35] Rich Caruana,et al. Data mining in metric space: an empirical analysis of supervised learning performance criteria , 2004, ROCAI.
[36] Ian Witten,et al. Data Mining , 2000 .
[37] Gerhard Schwabe,et al. Requirements for mobile learning games shown on a mobile game prototype , 2004 .
[38] V. Vapnik. Estimation of Dependences Based on Empirical Data , 2006 .
[39] Howard Rheingold,et al. The Virtual Community: Homesteading on the Electronic Frontier , 2000 .
[40] Dirk Van den Poel,et al. Customer attrition analysis for financial services using proportional hazard models , 2004, Eur. J. Oper. Res..
[41] Jason Weston,et al. Transductive Inference for Estimating Values of Functions , 1999, NIPS.
[42] Helmut Krcmar,et al. Piloting a sociotechnical innovation , 2000 .
[43] Dale Goodhue,et al. Understanding user evaluations of information systems , 1995 .
[44] Padhraic Smyth,et al. From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..
[45] Wei Jiang,et al. Data Mining Methods and Applications , 2006 .
[46] Alan R. Hevner,et al. Design Science in Information Systems Research , 2004, MIS Q..