Patent value analysis using support vector machines

Ercan, Seçil; Kayakutlu, Gülgün

doi:10.1007/s00500-013-1059-x

Cited by 23 publications

(3 citation statements)

References 47 publications

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“…Data analysis tools, such as text classification models, can be used to put the data source selected into proper layers of data-driven TRM. Classification models such as support vector machine (SVM) [86], k-nearest neighbor (KNN) [87,88], Hidden Markov [89], and Bayesian [44,90] can be employed.…”

Section: Bidirectional Encoder Representations For Transformers With ...mentioning

confidence: 99%

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

et al. 2022

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Hyperuricemia is a metabolic disease with an increasing incidence in recent years. It is critical to identify potential technology opportunities for hyperuricemia drugs to assist drug innovation. A technology roadmap (TRM) can efficiently integrate data analysis tools to track recent technology trends and identify potential technology opportunities. Therefore, this paper proposes a systematic data-driven TRM approach to identify potential technology opportunities for hyperuricemia drugs. This data-driven TRM includes the following three aspects: layer mapping, content mapping and opportunity finding. First we deal with layer mapping.. The BERT model is used to map the collected literature, patents and commercial hyperuricemia drugs data into the technology layer and market layer in TRM. The SAO model is then used to analyze the semantics of technology and market layer for hyperuricemia drugs. We then deal with content mapping. The BTM model is used to identify the core SAO component topics of hyperuricemia in technology and market dimensions. Finally, we consider opportunity finding. The link prediction model is used to identify potential technological opportunities for hyperuricemia drugs. This data-driven TRM effectively identifies potential technology opportunities for hyperuricemia drugs and suggests pathways to realize these opportunities. The results indicate that resurrecting the pseudogene of human uric acid oxidase and reducing the toxicity of small molecule drugs will be potential opportunities for hyperuricemia drugs. Based on the identified potential opportunities, comparing the DNA sequences from different sources and discovering the critical amino acid site that affects enzyme activity will be helpful in realizing these opportunities. Therefore, this research provides an attractive option analysis technology opportunity for hyperuricemia drugs.

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Section: Bidirectional Encoder Representations For Transformers With ...mentioning

confidence: 99%

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

et al. 2022

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“…Investigating the behavior of the most highly cited patents can draw a predictive picture of the characteristics of possible success, because the higher the technological quality of the patent, the more inventions should be based on the underlying invention, thus increasing the value of the patent's right of exclusion (FISCHER;LEIDINGER, 2014). Another point the literature makes is that the volume of citations demonstrates the value of the quality of the patent as an idea pioneer (ERCAN; KAYAKUTLU, 2014), in addition to demonstrating the patent's importance as a basis for subsequent technological inventions (YANG et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Brazilian green patents

Cativelli

Mañana-Rodríguez

Lascurain-Sánchez

2022

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O objetivo da pesquisa é verificar quais são as variáveis que influenciam o comportamento das patentes que mais recebem citações. A literatura reconhece o número de citações recebidas como um dos indicadores mais importantes para descobrir o valor de uma invenção. Essa alegação é testada em uma população de pesquisa que consiste no conjunto de patentes verdes brasileiras registradas no banco de dados do Global Patent Index. São utilizadas as seguintes variáveis: tipo de requerente, país do requerente, número de inventores, código de classificação internacional de patentes, tamanho da família, renovações, solicitação do Tratado de Cooperação em Matéria de Patentes, família triádica, concessão e número de citações. Essas variáveis são utilizadas para criar uma árvore de decisão e uma regressão logística com o Statistical Package for the Social Sciences, V.21, e o MS Excel. Os resultados mostram que, no comportamento das patentes verdes brasileiras, o tamanho da família e as renovações estão vinculados às patentes mais citadas. Outra variável significativa, mas cujos números não foram significativos o suficiente para colocá-la na árvore de decisão, foi a adesão ao Tratado de Cooperação em Matéria de Patentes.

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“…The basic theory is well understood and applications work successfully in practice. In many applications [2][3][4], SVM has been shown to provide higher performance than traditional learning machines [5] and has been introduced as powerful tools. In this paper, SVM and kernel methods (KMs) are first applied to identify metal bellows welding.…”

Section: Introductionmentioning

confidence: 99%

Use of Support Vector Machines for Defect Detection of Metal Bellows Welding

Park¹,

Byun²,

Kim³

2015

Journal of the Korea Society of Computer and Information

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Typically welded bellows are checked with human eye and microscope, and then go through leakage test of gas. The proposed system alternates these heuristic techniques using support vector machines.Image procedures in the proposed method can cover the irregularity problem induced from human being.To get easy observation through microscope, 3D display system is also exploited. Experimental results from this automatic measurement show the welding detection is done within one tenth of permitted error range.

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Patent value analysis using support vector machines

Cited by 23 publications

References 47 publications

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

Brazilian green patents

Use of Support Vector Machines for Defect Detection of Metal Bellows Welding

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