Knowledge discovery by means of inductive methods in wastewater treatment plant data

Joaquim Comas; Saso Dzeroski; Karina Gibert

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Knowledge discovery by means of inductive methods in wastewater treatment plant data

机译：通过归纳法在废水处理厂数据中发现知识

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摘要

Artificial intelligence techniques, including machine learn- ing methods, and statistical techniques have shown promis- ing results as decision support tools, because of their capabil- ities of knowledge discovery, heuristic reasoning and work- ing with uncertain and qualitative information.

机译：人工智能技术，包括机器学习方法和统计技术，由于其知识发现，启发式推理和处理不确定性和定性信息的能力而已显示出可作为决策支持工具的良好结果。

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来源
《AI communications》 |2001年第1期|p.45-62|共18页
作者
Joaquim Comas; Saso Dzeroski; Karina Gibert;
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作者单位

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类人工智能理论;
关键词
Knowledge discovery; machine learning; decision trees;

机译：知识发现;机器学习决策树;

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1. Analysis of empirical methods for the quantification of N_2O emissions in wastewater treatment plants: Comparison of emission results obtained from the IPCC Tier 1 methodology and the methodologies that integrate operational data [J] . Monserrat Ramirez-Melgarejo, A.D. Reyes-Figueroa, Santiago Gasso-Domingo, Science of the total environment . 2020,第Deca10期

机译：废水处理厂N_2O排放量化的实证方法分析：从IPCC三级方法获得的发射结果和整合运营数据的方法
2. Prediction of wastewater quality indicators at the inflow to the wastewater treatment plant using data mining methods [J] . Bartosz Szel?g, Krzysztof Barbusiński, Jan Studziński, E3S Web of Conferences . 2017,第10期

机译：利用数据采矿方法预测废水处理厂流入的废水质量指标
3. Rethinking micropollutant removal assessment methods for wastewater treatment plants - how to get more robust data? [J] . Choubert Jean-Marc, Ruel Samuel Martin, Miege Cecile, Water Science and Technology . 2017,第11a12期

机译：重新思考污水处理厂的微量润肤剂去除评估方法 - 如何获得更强大的数据？
4. DATA MINING AND KNOWLEDGE DISCOVERY FOR MONITORING AND INTELLIGENT CONTROL OF A WASTEWATER TREATMENT PLANT [C] . S. Manesis, V. Deligiannis, M. Koutri International Conference on Informatics in Control, Automation and Robotics . 2004

机译：用于监测和智能控制污水处理厂的数据挖掘和知识发现
5. Application of statistical methods and process models for the design and analysis of activated sludge wastewater treatment plants (WWTPs). [D] . Huo, Jinsheng. 2005

机译：统计方法和过程模型在活性污泥废水处理厂（WWTP）的设计和分析中的应用。
6. Knowledge Discovery in Variant Databases Using Inductive Logic Programming [O] . Hoan Nguyen, Tien-Dao Luu, Olivier Poch, 2013

机译：使用归纳逻辑编程的变体数据库中的知识发现
7. A Knowledge Discovery Assistance Method Using Multivariate Statistics for Efficient Wastewater Treatment Plant Operation [O] . Osamu YAMANAKA, Akihiro NAGAIWA, Yukio HIRAOKA, 2012

机译：一种知识发现辅助方法，采用高效污水处理厂运行的多元统计
8. Endocrine Active Chemicals, Pharmaceuticals, and Other Chemicals of Concern in Surface Water, Wastewater-Treatment Plant Effluent, and Bed Sediment, and Biological Characteristics in Selected Streams, Minnesota Design, Methods, and Data, 2009 [R] . Lee, K. E., Langer, S. K., Barber, L. B., 2010

机译：内分泌活性化学品，制药和其他关注地表水，废水处理厂污水和床沉积物的化学品，以及选定流中的生物特征，明尼苏达州设计，方法和数据，2009年

Knowledge discovery by means of inductive methods in wastewater treatment plant data

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