Applying K-means clustering and technology map in Asia Pacific-semiconductors industry analysis

Fan, Chin-Yuan; Lai, Ming-Fong; Huang, Tiao‐Yuan; Huang, Chin-Hua

doi:10.1109/ieem.2011.6118074

Cited by 7 publications

(3 citation statements)

References 1 publication

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“…Additionally, the loss of semantic information through the translation of high-level data in patent documents into specific design functions or requirements can lead to inaccurate clustering (Fan et al. 2011; Tekic et al. 2012; Abbas et al.…”

Section: Patent Clusteringmentioning

confidence: 99%

The generation of problem-focussed patent clusters: a comparative analysis of crowd intelligence with algorithmic and expert approaches

Wodehouse¹,

Vasantha²,

Corney³

et al. 2017

Des. Sci.

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This paper presents a new crowdsourcing approach to the construction of patent clusters, and systematically benchmarks it against previous expert and algorithmic approaches. Patent databases should be rich sources of inspiration which could lead engineering designers to novel solutions for creative problems. However, the sheer volume and complexity of patent information means that this potential is rarely realised. Rather than the keyword driven searches common in commercial systems, designers need tools that help them to understand patents in the context of the problem they are considering. This paper presents an approach to address this problem by using crowd intelligence for effective generation of patent clusters at lower cost and with greater rationale. A systematic study was carried out to compare the crowd's efficiency with both expert and algorithmic patent clusters, with the results indicating that the crowd was able to create 80% more patent pairs with appropriate rationale.

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Section: Patent Clusteringmentioning

confidence: 99%

The generation of problem-focussed patent clusters: a comparative analysis of crowd intelligence with algorithmic and expert approaches

Wodehouse¹,

Vasantha²,

Corney³

et al. 2017

Des. Sci.

View full text Add to dashboard Cite

show abstract

“…The definitions of [17,18] were then used to identify organizations with similar resources and strategies. Homogeneous data were then grouped together, and the grouping results were used to predict of the position of these countries in the various technological fields to ensure prediction accuracy [14].…”

Section: K-means Clustering Analysismentioning

confidence: 99%

“…In "Applying K-means Clustering and Technology Map in Asia Pacific-Semiconductors Industry Analysis," [14] analyzed and categorized semiconductor patents based on the country of origin and the IPC categorization standard. The number of patents for each country was then converted into its revealed patent advantage (RPA) in a specific field as an indication of each country's relative technical advantage and capability.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Innovative Value of the RFID Industry

Fan

Tsao

Liaw

2013

AUSMT

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Nearly every industry is increasingly reliant on patent protections, and the future of entire industries and even countries can be analyzed and predicted based on patent development. Countries are responding to the rapid development of RFID applications by aggressively protecting pursuing and protecting RFID innovations. This study examines a number of patent indicators to predict and explain future technological developments in the RFID industry, thus providing insights for economic planning at the national scale. Patent indicators such as the number of patent applications and Patent Cooperation Treaties (PCTs) are used to analyze technological development trends in the context of overall development for Europe, Asia, and America, and to identify valuable technological development directions. Distributions of RFID patents are then used with the Revealed Patent Advantage (RPA) to conduct cluster analysis of K-means, thus providing insight into relative regional technological advantages in RFID development. Finally we discuss the future creative value of the Taiwanese market and its development direction.

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