Mining User-Generated Content in an Online Smoking Cessation Community to Identify Smoking Status: A Machine Learning Approach [0.03%]
基于机器学习的方法挖掘线上戒烟社区用户生成内容以识别吸烟状态
Xi Wang,Kang Zhao,Sarah Cha et al.
Xi Wang et al.
Online smoking cessation communities help hundreds of thousands of smokers quit smoking and stay abstinent each year. Content shared by users of such communities may contain important information that could enable more effective and persona...
Matt Winkler,Alan S Abrahams,Richard Gruss et al.
Matt Winkler et al.
Toy-related injuries account for a significant number of childhood injuries and the prevention of these injuries remains a goal for regulatory agencies and manufacturers. Text-mining is an increasingly prevalent method for uncovering the si...
Saike He,Xiaolong Zheng,Daniel Zeng
Saike He
The prevalence of social media has greatly catalyzed the dissemination and proliferation of online memes (e.g., ideas, topics, melodies, tags, etc.). However, this information abundance is exceeding the capability of online users to consume...
Andriy Temko,William Marnane,Geraldine Boylan et al.
Andriy Temko et al.
Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present different ways to visualize the output of a neonatal seizure detection system and analyse th...
A comparison of representations for discrete multi-criteria decision problems [0.03%]
离散多准则决策问题的表示方法比较研究
Johannes Gettinger,Elmar Kiesling,Christian Stummer et al.
Johannes Gettinger et al.
Discrete multi-criteria decision problems with numerous Pareto-efficient solution candidates place a significant cognitive burden on the decision maker. An interactive, aspiration-based search process that iteratively progresses toward the ...
Xiao-Bai Li,Srinivasan Raghunathan
Xiao-Bai Li
Organizations today regularly share their customer data with their partners to gain competitive advantages. They are also often requested or even required by a third party to provide customer data that are deemed sensitive. In these circums...
Methodological Guidelines for Reducing the Complexity of Data Warehouse Development for Transactional Blood Bank Systems [0.03%]
事务性血库系统数据仓库开发复杂度降低的方法指南
Pedro L Takecian,Marcio K Oikawa,Kelly R Braghetto et al.
Pedro L Takecian et al.
Over time, data warehouse (DW) systems have become more difficult to develop because of the growing heterogeneity of data sources. Despite advances in research and technology, DW projects are still too slow for pragmatic results to be gener...
Shall we dance? - The effect of information presentations on negotiation processes and outcomes [0.03%]
我们来跳舞吧——信息呈现对谈判过程及结果的影响
Johannes Gettinger,Sabine T Koeszegi,Mareike Schoop
Johannes Gettinger
The way information is presented influences human decision making and is consequently highly relevant to electronically supported negotiations. The present study analyzes in a controlled laboratory experiment how information presentation in...
Network Sampling and Classification:An Investigation of Network Model Representations [0.03%]
网络抽样与分类：关于网络模型表示的研究
Edoardo M Airoldi,Xue Bai,Kathleen M Carley
Edoardo M Airoldi
Methods for generating a random sample of networks with desired properties are important tools for the analysis of social, biological, and information networks. Algorithm-based approaches to sampling networks have received a great deal of a...
An Entropy Approach to Disclosure Risk Assessment: Lessons from Real Applications and Simulated Domains [0.03%]
基于实际应用和模拟数据域的披露风险评估的熵方法及启示
Edoardo M Airoldi,Xue Bai,Bradley A Malin
Edoardo M Airoldi
We live in an increasingly mobile world, which leads to the duplication of information across domains. Though organizations attempt to obscure the identities of their constituents when sharing information for worthwhile purposes, such as ba...