Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining
出版年份 2020 全文链接
标题
Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining
作者
关键词
-
出版物
Electronics
Volume 9, Issue 1, Pages 100
出版商
MDPI AG
发表日期
2020-01-06
DOI
10.3390/electronics9010100
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Incremental Algorithm for Association Rule Mining under Dynamic Threshold
- (2019) Iyad Aqra et al. Applied Sciences-Basel
- METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models
- (2018) Evelina Di Corso et al. Energies
- An Efficient Incremental Mining Algorithm for Discovering Sequential Pattern in Wireless Sensor Network Environments
- (2018) Xin Lyu et al. SENSORS
- Food safety pre-warning system based on data mining for a sustainable food supply chain
- (2017) Jing Wang et al. FOOD CONTROL
- Mining Human Activity Patterns From Smart Home Big Data for Health Care Applications
- (2017) Abdulsalam Yassine et al. IEEE Access
- Changes in the Aromatic Profile of Espresso Coffee as a Function of the Grinding Grade and Extraction Time: A Study by the Electronic Nose System
- (2015) C. Severini et al. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- Electronic noses for food quality: A review
- (2015) Amy Loutfi et al. JOURNAL OF FOOD ENGINEERING
- How the variance of some extraction variables may affect the quality of espresso coffees served in coffee shops
- (2015) Carla Severini et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- Insight into the Time-Resolved Extraction of Aroma Compounds during Espresso Coffee Preparation: Online Monitoring by PTR-ToF-MS
- (2014) José A. Sánchez-López et al. ANALYTICAL CHEMISTRY
- Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry
- (2013) S.L. Ting et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Incremental association rule mining: a survey
- (2013) B. Nath et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- An incremental mining algorithm for high utility itemsets
- (2012) Chun-Wei Lin et al. EXPERT SYSTEMS WITH APPLICATIONS
- Optimization of espresso machine parameters through the analysis of coffee odorants by HS-SPME–GC/MS
- (2012) Giovanni Caprioli et al. FOOD CHEMISTRY
- Recognition of Coffee Using Differential Electronic Nose
- (2012) Kazimierz Brudzewski et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Evaluation of Coffee Roasting Degree by Using Electronic Nose and Artificial Neural Network for Off-line Quality Control
- (2012) Santina Romani et al. JOURNAL OF FOOD SCIENCE
- Gas Chromatography/Olfactometry and Electronic Nose Analyses of Retronasal Aroma of Espresso and Correlation with Sensory Evaluation by an Artificial Neural Network
- (2010) Tomomi Michishita et al. JOURNAL OF FOOD SCIENCE
- Water quality for Espresso coffee
- (2009) L. Navarini et al. FOOD CHEMISTRY
- Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases
- (2009) C.F. Ahmed et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Electronic Nose for Quality Control of Colombian Coffee through the Detection of Defects in “Cup Tests”
- (2009) Juan Rodríguez et al. SENSORS
- Electronic Nose: Current Status and Future Trends
- (2008) Frank Röck et al. CHEMICAL REVIEWS
- Characterizing network traffic by means of the NetMine framework
- (2008) Daniele Apiletti et al. Computer Networks
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