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Journal Articles

Identifying High-Potential Work Areas in Engineering for Global Development: Linking Industry Sectors to the Human Development Index

Daniel O. Smith, Christopher A. Mattson, Eric C. Dahlin

J. Mech. Des. June 2021, 143(6): 061404.

Paper No: MD-20-1395

DOI: https://doi.org/10.1115/1.4048746

Published Online: December 14, 2020

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Topics: Developing nations, Education, Feature selection, Manufacturing, Public utilities, Transportation systems, Regression models, Mining, Natural resources, Filters

Journal Articles

Organizing Tagged Knowledge: Similarity Measures and Semantic Fluency in Structure Mining

Thurston Sexton, Mark Fuge

J. Mech. Des. March 2020, 142(3): 031111.

Paper No: MD-19-1432

DOI: https://doi.org/10.1115/1.4045686

Published Online: January 13, 2020

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Topics: Design, Maintenance, Mining, Modeling, Probability, Trenching machinery

Journal Articles

Mining and Representing the Concept Space of Existing Ideas for Directed Ideation

Yuejun He, Bradley Camburn, Haowen Liu, Jianxi Luo, Maria Yang, Kristin Wood

J. Mech. Des. December 2019, 141(12): 121101.

Paper No: MD-19-1172

DOI: https://doi.org/10.1115/1.4044399

Published Online: September 27, 2019

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Topics: Computers, Design, Natural language processing, Transportation systems, Creativity, Mining

Journal Articles

Mining Changes in User Expectation Over Time From Online Reviews

Tianjun Hou, Bernard Yannou, Yann Leroy, Emilie Poirson

J. Mech. Des. September 2019, 141(9): 091102.

Paper No: MD-18-1734

DOI: https://doi.org/10.1115/1.4042793

Published Online: April 18, 2019

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Topics: Design, Flow (Dynamics), Mining, Natural language processing, Preferences, Product design, Arches

Journal Articles

Learning From the Past: Uncovering Design Process Models Using an Enriched Process Mining

Lijun Lan, Ying Liu, Wen Feng Lu

J. Mech. Des. April 2018, 140(4): 041403.

Paper No: MD-17-1245

DOI: https://doi.org/10.1115/1.4039200

Published Online: February 27, 2018

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Topics: Design, Mining, Workflow

Journal Articles

Mining Process Heuristics From Designer Action Data via Hidden Markov Models

Christopher McComb, Jonathan Cagan, Kenneth Kotovsky

J. Mech. Des. November 2017, 139(11): 111412.

Paper No: MD-17-1161

DOI: https://doi.org/10.1115/1.4037308

Published Online: October 2, 2017

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Topics: Cooling systems, Design, Topology, Trusses (Building), Emissions, Mining

Journal Articles

Predicting Future Importance of Product Features Based on Online Customer Reviews

Huimin Jiang, C. K. Kwong, K. L. Yung

J. Mech. Des. November 2017, 139(11): 111413.

Paper No: MD-17-1173

DOI: https://doi.org/10.1115/1.4037348

Published Online: October 2, 2017

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Topics: Time series, Mining, Weight (Mass)

Journal Articles

A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data

Sunghoon Lim, Conrad S. Tucker

J. Mech. Des. June 2016, 138(6): 061403.

Paper No: MD-15-1456

DOI: https://doi.org/10.1115/1.4033238

Published Online: April 20, 2016

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Topics: Algorithms, Errors, Feature extraction, Information retrieval, Probability, Sampling methods, Product design, Machinery, Machine learning, Mining

Journal Articles

Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

Suppawong Tuarob, Conrad S. Tucker

J. Mech. Des. July 2015, 137(7): 071402.

Paper No: MD-14-1611

DOI: https://doi.org/10.1115/1.4030049

Published Online: July 1, 2015

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Topics: Algorithms, Data collection, Feature extraction, Mining, Product development, Design, Preferences

Journal Articles

A Data-Driven Network Analysis Approach to Predicting Customer Choice Sets for Choice Modeling in Engineering Design

Mingxian Wang, Wei Chen

J. Mech. Des. July 2015, 137(7): 071410.

Paper No: MD-14-1553

DOI: https://doi.org/10.1115/1.4030160

Published Online: July 1, 2015

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Topics: Engineering design, Modeling, Network analysis, Vehicles, Mining

Journal Articles

Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews

Feng Zhou, Roger Jianxin Jiao, Julie S. Linsey

J. Mech. Des. July 2015, 137(7): 071401.

Paper No: MD-14-1525

DOI: https://doi.org/10.1115/1.4030159

Published Online: July 1, 2015

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Topics: Algorithms, Construction, Data collection, Databases, Design, Fire, Preferences, Support vector machines, Semantics, Redundancy (Engineering)

Journal Articles

Continuous Preference Trend Mining for Optimal Product Design With Multiple Profit Cycles

Jungmok Ma, Harrison M. Kim

J. Mech. Des. June 2014, 136(6): 061002.

Paper No: MD-13-1226

DOI: https://doi.org/10.1115/1.4026937

Published Online: April 11, 2014

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Topics: Algorithms, Cycles, Design, Mining, Preferences, Product design

Journal Articles

Formalizing and Exploring the Transferability of Inclusive Design Rules

Shraddha Sangelkar, Daniel A. McAdams

J. Mech. Des. September 2013, 135(9): 091004.

Paper No: MD-12-1491

DOI: https://doi.org/10.1115/1.4024725

Published Online: July 2, 2013

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Topics: Design, Mining

Journal Articles

Adapting ADA Architectural Design Knowledge for Universal Product Design Using Association Rule Mining: A Function Based Approach

Shraddha Sangelkar, Daniel A. McAdams

J. Mech. Des. July 2012, 134(7): 071003.

DOI: https://doi.org/10.1115/1.4006738

Published Online: June 8, 2012

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Topics: Design, Mining

Journal Articles

Trend Mining for Predictive Product Design

Conrad S. Tucker, Harrison M. Kim

J. Mech. Des. November 2011, 133(11): 111008.

DOI: https://doi.org/10.1115/1.4004987

Published Online: November 11, 2011

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Topics: Mining, Modeling, Product design, Time series, Design, Data mining, Preferences

Journal citation

NARROW

Identifying High-Potential Work Areas in Engineering for Global Development: Linking Industry Sectors to the Human Development Index

Organizing Tagged Knowledge: Similarity Measures and Semantic Fluency in Structure Mining

Mining and Representing the Concept Space of Existing Ideas for Directed Ideation

Mining Changes in User Expectation Over Time From Online Reviews

Learning From the Past: Uncovering Design Process Models Using an Enriched Process Mining

Mining Process Heuristics From Designer Action Data via Hidden Markov Models

Predicting Future Importance of Product Features Based on Online Customer Reviews

A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data

Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

A Data-Driven Network Analysis Approach to Predicting Customer Choice Sets for Choice Modeling in Engineering Design

Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews

Continuous Preference Trend Mining for Optimal Product Design With Multiple Profit Cycles

Formalizing and Exploring the Transferability of Inclusive Design Rules

Adapting ADA Architectural Design Knowledge for Universal Product Design Using Association Rule Mining: A Function Based Approach

Trend Mining for Predictive Product Design

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