Spec guidance for engineering design based on data mining and neural networks

Park, Seyoung; Joung, Junegak; Kim, Hyung Min

doi:10.1016/j.compind.2022.103790

Cited by 9 publications

(2 citation statements)

References 34 publications

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“…Wang et al, (2011) exploited UGC to estimate customers' preferences and created models for the design selection of a physical product (considering a smartphone as an example). Park et al, (2023) proposed a neural network model to automatically analyse online data to identify smartphone specification configurations preferred by customers and to support companies in the design process. Recently, researchers elaborated on the warranting theory to explain the trust of people in online reviews, highlighting that people are more likely to choose and evaluate positively a given product or service when they are confident about the fact that actual customers share the online reviews (DeAndrea et al, 2018).…”

Section: Helpfulness and Reliability Of Ugcmentioning

confidence: 99%

What Users Want: A Natural Language Processing Approach to Discover Users' Needs From Online Reviews

et al. 2023

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Digital media are a means to deliver products and services, but also a channel to interact with consumers and a source of information on users’ preferences. Data shared by customers on the web, the User-Generated Content (UGC), can give entrepreneurs a detailed perspective of the market. This work examines an application of Natural Language Processing techniques on UGC to discover insights on users' opinions. We collected more than 13.000 reviews of software from digital stores and review website to gather information on the customers’ perspective and their response to a given marketing strategy in two case studies on digital product's launch. The objective is to give support to two Italian companies in the process of business model development through data-driven evidence. We aim to discover who are the users and which are their needs using a lexicon-based approach to mine unstructured text. The results provide qualitative and quantitative descriptions of the market segments. We propose a method to examine UGC and to explore customers’ behavior on social media. The findings helped managers for the development of their business model, enhancing an informed decision-making process.

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Section: Helpfulness and Reliability Of Ugcmentioning

confidence: 99%

What Users Want: A Natural Language Processing Approach to Discover Users' Needs From Online Reviews

et al. 2023

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“…Data mining is a hot issue in the field of artificial intelligence and databases. The key data evolution of various complex models can usually be obtained by data mining [1][2][3]. The anisotropy of coal is a key issue that affects the effectiveness of crushing and support in the field of coal production.…”

Section: Introductionmentioning

confidence: 99%

A Data Mining Method for Constitutive Model of Hard Brittle Coal

Qiang Zhang

2024

jes

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Data mining is an effective way to solve various types of complex nonlinear problems. And the anisotropy of the mechanical characteristics of coal is a typical nonlinear problem. Hard coal seam are usually characterized by brittleness, which makes them difficult to be crushed efficiently. It is important to improve the efficiency of hard coal crushing by the brittleness characterization method of hard coal is clarified. So the constitutive model and damage mechanism of hard brittle coal was studied in this paper. Damage model of hard brittle coal based on Weibull distribution was established. The damage transition point concept was proposed based on the deformation stage characteristics of hard brittle coal. And effective damage intervals for hard brittle coals can be determined based on the damage transition point. Uniaxial compression experiments of hard brittle coal were simulated using EDEM. The characterization of the effect of discrete elemental eigenstructural parameters on the brittleness of coal was analyzed. And quantitative relationships between shear modulus and brittleness, brittleness and damage transition point were fitted by Matlab. A discrete elemental constitutive model for hard brittle coals was obtained. Finally, the correctness of discrete elemental constitutive model was verified by comparing uniaxial compression experiments with other specimens. The results of this paper were expected to provide a theoretical basis for the crushing technology of hard brittle coal. And the numerical theoretical basis for data mining of the intrinsic model of hard and brittle coal was provided.

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Personalized tourism product design focused on tourist expectations and online reviews: An integrated MCDM method

Liu,

Li,

et al. 2024

Computers & Industrial Engineering

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Spec guidance for engineering design based on data mining and neural networks

Cited by 9 publications

References 34 publications

What Users Want: A Natural Language Processing Approach to Discover Users' Needs From Online Reviews

What Users Want: A Natural Language Processing Approach to Discover Users' Needs From Online Reviews

A Data Mining Method for Constitutive Model of Hard Brittle Coal

Personalized tourism product design focused on tourist expectations and online reviews: An integrated MCDM method

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