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Titlebook: Behavior Computing; Modeling, Analysis, Longbing Cao,Philip S. Yu Book 2012 Springer-Verlag London 2012 Behavior Impact Analysis.Behavior

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楼主: whiplash
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Blood Ties and the Immunitary Bioeconomy,ing the feedback data is repeatable and customizable. In this chapter, we describe a simple yet effective approach for creating simulated feedback. We evaluated our system using clickthrough data of a set of real world users and achieved 65% accuracy in generating click-through data of those users.
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P-SERS: Personalized Social Event Recommender Systemopularity of the target item respectively. P-SERS evaluates each candidate social event by these social measures and produces a recommendation list. In addition, explanations and the grouping function are provided to improve the recommendation. Finally, we examine P-SERS by recommending group buying
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A Fast Algorithm for Mining High Utility Itemsetsaper, we present an efficient algorithm for mining high utility itemsets. Our algorithm is based on a tree structure in which a part of utilities for the items are recorded. A mechanism is proposed to reduce the mining space and make our algorithm can directly generate high utility itemsets from the
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https://doi.org/10.1057/978-1-137-55247-1with 656 respondents. We find that the demographic (indirect) questions can be almost as successful as risk-related (direct) questions in predicting risk preference classes of respondents. Using a decision-tree based classification model, we discuss how one can generate actionable business rules based on the findings.
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Per Brandtzaeg,Finn-Eirik Johansenough the re-mining of colored association graphs that represent item associations. The methodology is described and mathematically formalized, and is demonstrated in a case study related with retail industry.
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