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New directions in computational, combinational and structural creativity
This paper examines how new and creative relationships in datasets, not easily revealed by conventional information retrieval methods …
Bruce Garvey
,
陈柳青
,
Feng Shi
,
Ji Han
,
Peter RN Childs
Cite
DOI
Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven
Creativity is a crucial element of design. The aim of this study is to investigate the driving forces behind combinational creativity. …
Ji Han
,
Dongmyung Park
,
Feng Shi
,
陈柳青
,
Min Hua
,
Peter RN Childs
Cite
DOI
A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining
As a branch of computational creativity, Creative Knowledge Discovery (CKD) aims to search for valuable, previously unknown, or …
陈柳青
,
Feng Shi
,
Ji Han
,
Peter RN Childs
Cite
DOI
Implicit Knowledge Discovery in Design Semantic Network by Applying Pythagorean Means on Shortest Path Searching
With the advent of the big-data era, massive textual information stored in electronic and digital documents have become valuable …
Feng Shi
,
陈柳青
,
Ji Han
,
Peter RN Childs
Cite
DOI
A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval
With the advent of the big-data era, massive information stored in electronic and digital forms on the internet become valuable …
Feng Shi
,
陈柳青
,
Ji Han
,
Peter Childs
Cite
DOI
The Analogy Retriever – an idea generation tool
Idea generation plays a vital role in design, but coming up with ideas, especially creative ideas, is often challenging. Analogy is …
Ji Han
,
Feng Shi
,
陈柳青
,
Peter RN Childs
Cite
Three driven approaches to combinational creativity
Creativity is a crucial element of design, and a human attribute that has aroused significant attention. However, few studies have …
Ji Han
,
Dongmyung Park
,
Feng Shi
,
陈柳青
,
Peter RN Childs
Cite
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