Search Results - Unsupervised data-mining method

A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis by Zheng, Shaodong, Zhao, Jinsong

“… In this work, a new unsupervised data mining method based on deep learning is proposed for isolating different conditions of chemical process, including normal operations and faults, and thus labeled…”
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Identification and evaluation of operation regulation strategies in district heating substations based on an unsupervised data mining method by Lu, Yakai, Tian, Zhe, Peng, Peng, Niu, Jide, Dai, Jiping

“… This paper first introduces the parametrically represented regulation strategies of DH substations, followed by a reverse identification of these strategies using an unsupervised data mining method…”
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Energy Consumption Patterns and Characteristics of College Dormitory Buildings Based on Unsupervised Data Mining Method by Yang, Yunchun, Gang, Wenjie, Yuan, Jiaqi, Zhang, Zhenying, Tian, Changqing

“…The college building is a large energy consumer with a high density of energy consumption. However, less attention is paid to college buildings, particularly…”
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A systematic review of data pre-processing methods and unsupervised mining methods used in profiling smart meter data by Dahunsi, Folasade M., Olawumi, Abayomi E., Ale, Daniel T., Sarumi, Oluwafemi A.

“… The review identifies the strengths and shortcomings of existing data mining methods as applied in research, focusing more on data processing techniques…”
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Research on component law of Chinese patent medicine for anti-influenza and development of new recipes for anti-influenza by unsupervised data mining methods by Tang, Shi-Huan, Chen, Jian-Xin, Li, Geng, Wu, Hong-Wei, Chen, Chang, Zhang, Na, Gao, Na, Yang, Hong-Jun, Huang, Lu-Qi

“…To analyze the component law of Chinese patent medicines for anti-influenza and develop new prescriptions for anti-influenza by unsupervised data mining methods…”
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Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review by Mirnaghi, Maryam Sadat, Haghighat, Fariborz

“…•Reviewing limitations of previous data-mining based FDD methods on HVAC systems…”
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A data mining method based on unsupervised learning and spatiotemporal analysis for sheath current monitoring by Wang, Y., Ye, H., Zhang, T., Zhang, H.

“… monitoring systems, we propose a data mining method based on unsupervised learning and spatiotemporal analysis of sheath currents for underground power cable monitoring…”
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Outlier Detection in Ocean Wave Measurements by Using Unsupervised Data Mining Methods by Mahmoodi, Kumars, Ghassemi, Hassan

“…), and Local Outlier Factor (LOF) methods are used to detect outliers in significant wave height (H ) records…”
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Classification of primary progressive aphasia: Do unsupervised data mining methods support a logopenic variant? by Maruta, Carolina, Pereira, Telma, Madeira, Sara C., De Mendonça, Alexandre, Guerreiro, Manuela

“…Abstract Our objective was to test whether data mining techniques, through an unsupervised learning approach, support the three-group diagnostic model of primary progressive aphasia (PPA…”
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Component analysis of Chinese medicine and advances in fuming-washing therapy for knee osteoarthritis via unsupervised data mining methods by Liu, Jun, Pan, Jianke, Wang, Yanping, Lin, Dingkun, Shen, Dan, Yang, Hongjun, Li, Xiang, Luo, Minghui, Cao, Xuewei

“…), and develop new fuming-washing prescriptions for KOA through unsupervised data mining methods…”
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Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases by Massi, Michela Carlotta, Ieva, Francesca, Lettieri, Emanuele

“… with the adoption of data mining techniques, making the auditing process more efficient and effective…”
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Discovery of activity composites using topic models: An analysis of unsupervised methods : Data Mining in Pervasive Environments by SEITER, Julia, AMFT, Oliver, ROSSI, Mirco, TRÖSTER, Gerhard

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Unsupervised Data Mining with K-Medoids Method in Mapping Areas of Student and Teacher Ratio in Indonesia by Hermawati, Adya, Jumini, Sri, Astuti, Mardiah, Ismail, Fajri, Rahim, Robbi

“…The purpose of this study was to analyze the k-medoids method in conducting cluster mapping in the ratio of the number of students and teachers in Indonesia by region, especially at the elementary school level…”
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Unsupervised segmentation of microstructural images of steel using data mining methods by Kim, Hoheok, Arisato, Yuuki, Inoue, Junya

“…[Display omitted] A novel and efficient data mining method for the segmentation of microstructural images of low-carbon steel is presented…”
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Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey by Zimmermann, Albrecht

“…Machine Learning (ML) and Data Mining (DM) build tools intended to help users solve data…”
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Supervised, Unsupervised Learning Methods in Data Mining: A Comprehensive Survey by Sivasankari, S., Sukumaran, Dr. S.

“… Data mining with supervised and unsupervised methods is the key to unlock the value of business data and keep ahead of the competition…”
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Method Evaluation, Parametrization, and Result Validation in Unsupervised Data Mining: A Critical Survey by Zimmermann, Albrecht

“…Machine Learning and Data Mining build tools intended to help users solve data-related problems that are infeasible for "unaugmented" humans…”
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Research on component law of Chinese patent medicine for anti-influenza and development of new recipes for anti-influenza by unsupervised data mining methods by Shi-huan, Tang

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Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data by Schouten, Kim, van der Weijde, Onne, Frasincar, Flavius, Dekker, Rommert

“… In contrast to most existing approaches, the first method presented is an unsupervised method that applies association rule mining on co-occurrence frequency data obtained from a corpus to find these aspect categories…”
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A Novel Framework Based on Unsupervised Data Mining and Nonparametric Methods for Digital Soil Mapping With Limited Data by Fuentes Ponce, Bryan

“…(s), using limited soil observations. The proposed framework, named Mi-SoiLPat, was based on unsupervised data mining and nonparametric statistics…”
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