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Emotional Perceptions on Environmental Elements:A Case Study on Traditional Villages Based on Online Reviews and Machine Learning

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China City Planning Review 2024年第4期33卷 35-43页

作者： Feng Jia Chen Xiaojian Zheng Xili Liu Jian(Proofread) College of Architecture Xi’an University of Architecture and TechnologyXi'anP.R.China 不详

For traditional villages,evaluating one’s emotional perceptions on their environment is of great significance for promoting their sustainable *** a case study on traditional villages in China,this research developed a quantitative approach for studying the influence of environmental elements on emotional perceptions in a wide scope.76 traditional villages across China were selected as cases and the online reviews on these villages were *** natural language processing,the emotional perceptions expressed in these reviews were qualified,the environmental elements mentioned in these reviews were extracted,and a lexicon of 14 environmental elements classified into the three categories of settlement,nature,and culture was *** correlation between environmental elements and emotional perceptions was then evaluated by measuring perception frequency and perception *** in-depth analysis shows that people generally have a positive attitude toward traditional *** elements,such as“house”and“public building,”are more frequently perceived than natural and cultural elements,while the latter ones play a positive influence on the emotional perception of reviewers on traditional *** methods developed in this research can be used to support the policy-making of protecting and revitalizing traditional villages to balance heritage protection and village development.

关键词： emotional perceptions environmental elements textual data processing machine learning traditional villages

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Ant-inspired Algorithms in Health Information System data Mining, Classification and Visualization 14th

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14th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON)

作者： Bursa, M. Lhotska, L. Czech Tech Univ Czech Inst Informat Robot & Cybernet CR-16635 Prague Czech Republic

ISBN: (纸本)9783319327037;9783319327013

In the paper we describe the process of cardiotocography (CTG) record clustering and the effort that was taken to retrieve information from an old (approx. 15 yrs) hospital information system. It consisted of retrieving data from DB tables in the form of unstructured text attributes. Information retrieval had to be performed for complementing cardiotocography signals with additional information. This was needed for further rule discovery mining and automated processing as the main goal was asphyxia prediction during delivery A graph-based visualization technique has been designed and developed. Together with experts it helped to handle and efficiently process great amount of unstructured (or semistructured data). Of course, we have used and tested several approaches: automated, semi-automated and manual clustering of the records. In the (semi-) automated experiments we have used k-means, self-organizing map and self-organizing approach inspired by ant-colonies. The overview obtained was consulted with medical experts and served for further mining and information retrieval from the database. Furthermore, an evaluation of CTG signal classification was carried out using multiple methods. These methods used different classification approaches (Naive Bayes, rule and tree based classifiers, etc.). We conducted ten-fold crossvalidation and for each experiment we have gathered multiple quantitative objective measures that have been statistically evaluated. As the best-performing method we have identified the ant-inspired ACO DTree algorithm that performed significantly better and provided comprehensible results.

关键词： data Mining textual data processing data Visualization Ant Colony Optimization Decision Tree Induction

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Applying Ant-Inspired Methods in Childbirth Asphyxia Prediction 7th

Applying Ant-Inspired Methods in Childbirth Asphyxia Predict...

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7th International Conference on Information Technology in Bio- and Medical Informatics (ITBAM)

作者： Bursa, Miroslav Lhotska, Lenka Czech Tech Univ Czech Inst Informat Robot & Cybernet EU Prague Czech Republic

ISBN: (纸本)9783319439495;9783319439488

In the today’s world we witness an impact of the ‘Big data’ phenomenon. Although there are many definitions and different scientists view the problem from their perspectives (web, IoT, smartphones, security, GIS, HIS, cloud systems, networks, ...), there is still need for efficient, robust and scalable algorithms that ease processing of such data.

关键词： data mining textual data processing data visualization Ant colony optimization Hospital information system Decision tree induction

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The second generation of ecological economics: How far has the apple fallen from the tree?

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ECOLOGICAL ECONOMICS 2014年 107卷 457-468页

作者： Plumecocq, Gael INRA UMR AGIR F-31326 Castanet Tolosan France LEREPS F-31042 Toulouse France

This paper examines the discourse produced in the academic journal Ecological Economics from its inception in 1989, and compares this discourse with that of the field of environmental economics. I used methods for discourse analysis (Alceste and Iramuteq) on 6308 abstracts of papers published in four journals namely Ecological Economics, theJournal of Environmental Economics and Management, Environmental Values, and Environmental and Resource Economics, published between 1989 and 2013. The results suggest that the discourses of ecological economics and environmental economics have grown closer over time. The semantic classification of co-occurrent terms used in Ecological Economics indicates increasing significance of the notions of ecosystem services and of monetary valuation. I argue that this trend is parallel to Costanza's career-path, which suggests the rise of a tacit recognition of the New Environmental Pragmatic scientific approach. I conclude with some of the implications for EE of promoting this kind of discourse to such an extent. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Discourse analysis Ecological economics Environmental economics Editorial choices textual data processing

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