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With over 1,500 prioritized requirements, solutions, benefits, results, and real-life case studies and use cases, our dataset has everything you need to start and run your business with ease and efficiency.
What sets us apart from our competitors and alternatives? Our Patent Search and Entrepreneur′s Toolkit is designed specifically for the professionals, providing them with the tools and resources they need to succeed in today′s ever-evolving business landscape.
Unlike other products that may require expensive consultant fees or complicated software, our product is DIY and affordable, empowering you to take control of your own business journey.
But don′t just take our word for it.
Let′s dive into the details of our product.
Our Patent Search and Entrepreneur′s Toolkit consists of a product type that is easy to use and understand, making it accessible for anyone looking to start their own business.
It′s also a perfect alternative to expensive consulting services or complicated technology.
The toolkit offers a detailed overview of its specifications, giving you a clear understanding of the product and how it can benefit your business.
Unlike semi-related product types that may only cover one aspect of starting a business, our toolkit covers everything from patent search to using technology and tools to run your business effectively.
Speaking of benefits, our toolkit has numerous advantages for your business.
From saving time and money on extensive research to reducing the risk of costly legal complications, our product has been carefully crafted to provide you with the support and guidance you need to succeed.
Our team has done extensive research to ensure that our dataset is up-to-date and relevant in today′s fast-paced business world.
We have also curated specific information for businesses, making our product a valuable asset for all types of enterprises.
And the best part? All of this comes at an affordable cost, allowing even small businesses and startups to access our resources.
Of course, like any product, there are pros and cons to consider.
Our patent search and entrepreneur′s toolkit may not be a one-size-fits-all solution for every business, but it provides a solid foundation for any entrepreneur looking to navigate the complexities of starting and running a business.
Our product does not guarantee overnight success, but it arms you with the knowledge and tools to set your business on the right track.
In short, our Patent Search and Entrepreneur′s Toolkit is more than just a product – it′s a complete guide that can help turn your business dreams into a reality.
With its user-friendly design, comprehensive resources, and affordable cost, it′s the ultimate tool for any aspiring entrepreneur.
So why wait? Get your hands on our toolkit today and start building the business of your dreams.
Can the problems faced in patent search and analysis be alleviated by visual analytics techniques?
Patent Search
Yes, visual analytics techniques can alleviate patent search and analysis problems by simplifying complex data, revealing patterns, and improving understanding.
Solution: Yes, visual analytics techniques can alleviate patent search problems.
Benefits:
1. Improved data understanding.
2. Faster identification of trends and patterns.
3. Simplified complex data analysis.
4. Enhanced decision-making.
5. Reduced time and effort in patent search.
CONTROL QUESTION: Can the problems faced in patent search and analysis be alleviated by visual analytics techniques?
Big Hairy Audacious Goal (BHAG) for 10 years from now: In 10 years, the goal for patent search and analysis should be to provide intuitive, interactive, and visually-driven solutions that significantly alleviate the challenges faced by patent examiners, researchers, and innovators. The aim is to create a patent search and analysis platform that:
1. Integrates advanced visual analytics techniques: Leverages state-of-the-art visual analytics methodologies, such as machine learning, natural language processing, and network analysis, to present complex patent data in an easily comprehensible and actionable format.
2. Enhances search precision and recall: Dramatically improves the accuracy and comprehensiveness of search results, reducing the time and effort required for patent examiners and researchers to arrive at relevant information.
3. Streamlines the examination process: Reduces the average time spent on a single patent examination by 50%, allowing patent offices to process a higher volume of applications and maintain a more efficient and agile review process.
4. Encourages data-driven collaboration: Provides an innovative, user-friendly interface for patent examiners, researchers, and innovators to collaborate and share insights, fostering an environment of collective intelligence and continuous improvement.
5. Increases transparency: Offers a transparent view of the patent landscape, allowing researchers and inventors to better understand the prior art and make informed decisions about their inventions and potential intellectual property.
6. Promotes informed decision-making: Empowers patent examiners, researchers, and innovators with the tools and insights needed to make informed decisions in a timely and confident manner.
7. Supports lifelong learning: Integrates with professional development resources to ensure that patent professionals and researchers can continuously expand their knowledge of emerging trends, technologies, and best practices in the patent ecosystem.
8. Establishes a global standard: Positions the patent search and analysis platform as the global leader in visual analytics for patent data, providing unparalleled value to patent offices, research institutions, and corporations worldwide.
Realizing these ambitious goals will require significant investment in research, development, and collaboration between various stakeholders, including patent offices, research institutions, and technology companies. By working together, we can unlock the potential of visual analytics in patent search and analysis, driving innovation and progress for the benefit of all.
"The creators of this dataset deserve a round of applause. The prioritized recommendations are a game-changer for anyone seeking actionable insights. It has quickly become an essential tool in my toolkit."
Synopsis:
In today′s hypercompetitive business landscape, intellectual property (IP) rights have emerged as critical assets for companies striving to maintain their market edge. Patents, in particular, play a pivotal role in protecting the innovations and technological advancements of businesses. However, managing patents remains a daunting task for many organizations, given the sheer volume of patent applications filed each year. To address this challenge, our client - a multinational technology corporation - sought our expertise in exploring the potential of visual analytics techniques to streamline their patent search and analysis processes. This case study delves into the client′s situation, our consulting methodology, deliverables, implementation challenges, and key performance indicators (KPIs) to assess the impact of visual analytics on patent search and analysis.
Client Situation:
Our client operates in the highly competitive technology sector, where innovation is the cornerstone of business success. The company files numerous patent applications annually, aiming to protect its inventions and maintain its competitive advantage. However, managing such a vast patent portfolio is fraught with challenges. These include:
1. Identifying and monitoring relevant patent applications and granted patents across numerous technology domains and jurisdictions
2. Analyzing the patent landscape to discern emerging trends, potential threats, and collaboration opportunities
3. Evaluating the strength and scope of patent portfolios through comprehensive infringement, validity, and freedom-to-operate assessments
4. Communicating complex patent-related insights to various stakeholders, including management, legal teams, and researchers, in a clear and engaging manner
Given the intricacies of patent search and analysis, our client approached us to explore the application of visual analytics techniques to augment their existing processes and mitigate the aforementioned challenges.
Consulting Methodology:
Our consulting methodology consisted of the following stages:
1. Information Gathering and Understanding the Client′s Needs: We commenced by conducting workshops and interviews with key stakeholders within the client′s organization to gain a comprehensive understanding of their patent search and analysis requirements.
2. Market Research and Best Practice Analysis: We analyzed relevant whitepapers, academic business journals, and market research reports to identify emerging trends and best practices in visual analytics for patent search and analysis.
3. Visual Analytics Framework Development: We synthesized our findings to design a tailored visual analytics framework, incorporating advanced data visualization techniques, machine learning algorithms, and natural language processing (NLP) tools.
4. Proof-of-Concept Implementation: We developed a prototype visual analytics platform, leveraging open-source and commercial tools, and conducted a pilot implementation to demonstrate the potential benefits of the proposed solution.
5. Validation and Knowledge Transfer: We evaluated the effectiveness of the visual analytics platform through a series of workshops, focus groups, and interviews. We subsequently refined the solution based on the feedback received and facilitated knowledge transfer to enable the client to manage the platform independently.
Deliverables:
Our deliverables encompassed:
1. Comprehensive reports on the state of the art in visual analytics for patent search and analysis, including case studies, best practices, and key vendor landscape insights
2. A tailored visual analytics framework, integrating data visualization techniques, machine learning algorithms, and NLP tools
3. A proof-of-concept implementation of a visual analytics platform
4. Training materials and workshops to facilitate independent management and adaptation of the platform
Implementation Challenges:
Implementing the visual analytics platform involved several challenges, including:
1. Data quality and standardization: Given the disparate sources and formats of patent data, ensuring consistent quality and standardization proved challenging
2. Integration of diverse technologies: Integrating data visualization tools, machine learning algorithms, and NLP techniques demanded a robust and adaptable architecture
3. Change management and user adoption: Encouraging stakeholders to embrace a new way of working and navigating the learning curve associated with the visual analytics platform
Key Performance Indicators (KPIs):
To evaluate the effectiveness of the visual analytics platform, we established the following KPIs:
1. Time savings: Reduction in the time taken to complete patent search and analysis tasks
2. Increased accuracy: Improvement in the precision and recall of search results
3. User satisfaction: Feedback from stakeholders regarding the usability, effectiveness, and value of the visual analytics platform
4. Actionable insights: Identification of strategic patent-related opportunities and threats
Conclusion:
The utilization of visual analytics techniques has significantly improved our client′s patent search and analysis capabilities. By deploying advanced data visualization tools, machine learning algorithms, and NLP techniques, the client has experienced enhanced efficiency, accuracy, and stakeholder engagement. This case study has demonstrated that, when implemented effectively, visual analytics can alleviate the challenges associated with managing complex patent portfolios, ultimately contributing to improved business outcomes and competitive advantage.
Citations:
1. Chen, H., u0026 Chang, C. (2014). A survey of data visualization techniques in patent analysis. Journal of Information Science, 40(3), 275-291.
2. Lee, Y., u0026 Lee, S. (2017). A visualization-based patent analysis system using topic modeling. Expert Systems with Applications, 89, 16-27.
3. Martinez, A., u0026 Torres, J. (2016). Patent Similarity Search using Text Mining Techniques. International Journal of Software Engineering u0026 Knowledge Engineering, 26(5), 863-883.
4. Rouers, Q., u0026 Gath, I. (2016). Data Visualization and Patent Analytics. In Patent Analytics (pp. 39-54). Springer, Cham.
5. Sivaraman, V., u0026 Park, Y. (2016). A visualization tool for patent landscape analysis. Technological Forecasting and Social Change, 119, 245-258.
6. Wang, W., u0026 Trappey, A. (2017). Integrating clustering with visualization for patent landscape analysis. Expert Systems with Applications, 84, 214-224.
7. Yang, Y., u0026 Huang, X. (2016). A patent visualization and analysis system based on Latent Dirichlet Allocation. Journal of Ambient Intelligence and Humanized Computing, 7(3), 363-375.
8. Zhao, Y., u0026 Li, X. (2018). Patent network analysis via visual analytics. Journal of Informetrics, 12(1), 273-288.
Our Patent Search and Entrepreneur′s Toolkit is here to help you every step of the way.
This all-in-one toolkit is a comprehensive knowledge base consisting of the most important questions to ask in order to get the best results for your business, categorized by urgency and scope.
With over 1,500 prioritized requirements, solutions, benefits, results, and real-life case studies and use cases, our dataset has everything you need to start and run your business with ease and efficiency.
What sets us apart from our competitors and alternatives? Our Patent Search and Entrepreneur′s Toolkit is designed specifically for the professionals, providing them with the tools and resources they need to succeed in today′s ever-evolving business landscape.
Unlike other products that may require expensive consultant fees or complicated software, our product is DIY and affordable, empowering you to take control of your own business journey.
But don′t just take our word for it.
Let′s dive into the details of our product.
Our Patent Search and Entrepreneur′s Toolkit consists of a product type that is easy to use and understand, making it accessible for anyone looking to start their own business.
It′s also a perfect alternative to expensive consulting services or complicated technology.
The toolkit offers a detailed overview of its specifications, giving you a clear understanding of the product and how it can benefit your business.
Unlike semi-related product types that may only cover one aspect of starting a business, our toolkit covers everything from patent search to using technology and tools to run your business effectively.
Speaking of benefits, our toolkit has numerous advantages for your business.
From saving time and money on extensive research to reducing the risk of costly legal complications, our product has been carefully crafted to provide you with the support and guidance you need to succeed.
Our team has done extensive research to ensure that our dataset is up-to-date and relevant in today′s fast-paced business world.
We have also curated specific information for businesses, making our product a valuable asset for all types of enterprises.
And the best part? All of this comes at an affordable cost, allowing even small businesses and startups to access our resources.
Of course, like any product, there are pros and cons to consider.
Our patent search and entrepreneur′s toolkit may not be a one-size-fits-all solution for every business, but it provides a solid foundation for any entrepreneur looking to navigate the complexities of starting and running a business.
Our product does not guarantee overnight success, but it arms you with the knowledge and tools to set your business on the right track.
In short, our Patent Search and Entrepreneur′s Toolkit is more than just a product – it′s a complete guide that can help turn your business dreams into a reality.
With its user-friendly design, comprehensive resources, and affordable cost, it′s the ultimate tool for any aspiring entrepreneur.
So why wait? Get your hands on our toolkit today and start building the business of your dreams.
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1576 prioritized Patent Search requirements. - Extensive coverage of 202 Patent Search topic scopes.
- In-depth analysis of 202 Patent Search step-by-step solutions, benefits, BHAGs.
- Detailed examination of 202 Patent Search case studies and use cases.
- Digital download upon purchase.
- Enjoy lifetime document updates included with your purchase.
- Benefit from a fully editable and customizable Excel format.
- Trusted and utilized by over 10,000 organizations.
- Covering: Automation Tools, Disaster Recovery Solutions, Logistics Solutions, Investor Relations, Brand Development, Blockchain Technologies, Strategic Partnerships, Cybersecurity Measures, Angel Investors, Mobile App Development, Freelance Platforms, Serverless Architectures, Multilingual Solutions, Copyright Law, Web Hosting Services, Time Tracking, Smart Home Devices, Productivity Tools, Accounting Services, User Interface Design, User Interface, Employee Engagement, Legal Software, Patent Law, Prescriptive Analytics, CRM Integrations, Password Managers, Affiliate Marketing, SEO Techniques, Crowdfunding Platforms, AI Chatbots, Small Business Administration, Intrusion Detection Systems, DevOps Practices, Website Design, Invoicing Systems, Licensing Agreements, Cloud Storage, Email Campaigns, Data Streaming, Testing Frameworks, Scalability Planning, CRM Software, Business Plan Software, Mind Mapping Software, Containers And Microservices, Serverless Functions, Co Working Spaces, Customer Relationship Management, Strategic Alliances, Project Management, Cultural Sensitivity, Board Of Directors, Booking Systems, Video Editing, Freelance Hiring, Scaling Strategies, Augmented Reality, Patent Search, Product Management, Frontend Development, Data Replication, Testing Tools, Design Tools, Mentors And Advisors, Data Analysis, Loan Applications, Cloud Security, Legal Compliance, AI Assistants, Product Development, Project Management Tools, Sustainable Technologies, Data Warehouse, Data Backup Solutions, Localization Services, Note Taking Apps, Legal Consultation, Funnel Analysis, Outsourcing Solutions, Customer Feedback, Distributed Databases, Competitor Analysis, Venture Capital Firms, B2B Platforms, Crowd Equity Funding, Affiliate Programs, Credit Scores, Return On Ad Spend, Franchise Opportunities, Payment Gateways, Joint Venture Partnerships, Graphic Design, Legal Documents, Local SEO, Branding Strategies, Chatbot Analytics, User Experience Design, Appointment Scheduling, Pop Up Building, Identity Management, Access Control, Distributed Systems, Encryption Technologies, Data Migration, Landing Page Testing, Focus Group Management, Artificial Intelligence, Online Reputation Management, Robotic Process Automation, Virtual Events, Commerce Platforms, Invoicing Tools, Online Education, Business Continuity, Financial Projections, Digital Advertising, Performance Optimization, Sentiment Analysis, Sales Funnel Tools, Payroll Software, Fraud Detection, Exit Planning, Market Research Tools, Influencer Marketing, Predictive Analytics, License Applications, Cross Platform Development, Dark Web Monitoring, Data Driven Design, Data Visualization, Business Plan Templates, Risk Management, Net Promoter Score, Trademark Registration, Productivity Apps, Content Creation, Domain Name Systems, Business Intelligence, Thought Leadership, Analytics Platforms, Quantum Computing, Natural Language Processing, Remote Team Collaboration, Professional Networking, IP Protection, Encryption Tools, Data Mining, Investor Pitches, Data Lake, Manufacturing Partners, Calendar Management, Legal Advice, Task Management, Industry Associations, Full Stack Development, Yelp Management, Feedback Collection, Business Incubation, Data Synchronization, Social Media Marketing, Lifetime Customer Value, Media Outreach, Data Science, Backend Development, Payment Processing, Open Source Licensing, Logo Design, Voice Assistants, Economic Development Agencies, Design Thinking, Virtual Reality, Mergers And Acquisitions, Inventory Control, Competitive Intelligence, Server Clusters, Remote Work Tools, Tax Preparation, Data Partitioning, Funding Options, Budgeting Tools, Wearable Devices, Git And Version Control, Mobile First Design, Data Ethics, Fraud Prevention, Domain Registration, Load Balancers, User Behavior Analysis, Wearable Technology, Brand Guidelines, Incubators And Accelerators, Trademark Law, Analytics Tools, Cloud Storage Services, Video Production, Credit Score Management, Brainstorming Techniques, Server Management, Content Delivery Networks, User Experience Testing, Cloud Computing
Patent Search Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Patent Search
Yes, visual analytics techniques can alleviate patent search and analysis problems by simplifying complex data, revealing patterns, and improving understanding.
Solution: Yes, visual analytics techniques can alleviate patent search problems.
Benefits:
1. Improved data understanding.
2. Faster identification of trends and patterns.
3. Simplified complex data analysis.
4. Enhanced decision-making.
5. Reduced time and effort in patent search.
CONTROL QUESTION: Can the problems faced in patent search and analysis be alleviated by visual analytics techniques?
Big Hairy Audacious Goal (BHAG) for 10 years from now: In 10 years, the goal for patent search and analysis should be to provide intuitive, interactive, and visually-driven solutions that significantly alleviate the challenges faced by patent examiners, researchers, and innovators. The aim is to create a patent search and analysis platform that:
1. Integrates advanced visual analytics techniques: Leverages state-of-the-art visual analytics methodologies, such as machine learning, natural language processing, and network analysis, to present complex patent data in an easily comprehensible and actionable format.
2. Enhances search precision and recall: Dramatically improves the accuracy and comprehensiveness of search results, reducing the time and effort required for patent examiners and researchers to arrive at relevant information.
3. Streamlines the examination process: Reduces the average time spent on a single patent examination by 50%, allowing patent offices to process a higher volume of applications and maintain a more efficient and agile review process.
4. Encourages data-driven collaboration: Provides an innovative, user-friendly interface for patent examiners, researchers, and innovators to collaborate and share insights, fostering an environment of collective intelligence and continuous improvement.
5. Increases transparency: Offers a transparent view of the patent landscape, allowing researchers and inventors to better understand the prior art and make informed decisions about their inventions and potential intellectual property.
6. Promotes informed decision-making: Empowers patent examiners, researchers, and innovators with the tools and insights needed to make informed decisions in a timely and confident manner.
7. Supports lifelong learning: Integrates with professional development resources to ensure that patent professionals and researchers can continuously expand their knowledge of emerging trends, technologies, and best practices in the patent ecosystem.
8. Establishes a global standard: Positions the patent search and analysis platform as the global leader in visual analytics for patent data, providing unparalleled value to patent offices, research institutions, and corporations worldwide.
Realizing these ambitious goals will require significant investment in research, development, and collaboration between various stakeholders, including patent offices, research institutions, and technology companies. By working together, we can unlock the potential of visual analytics in patent search and analysis, driving innovation and progress for the benefit of all.
Customer Testimonials:
"The creators of this dataset deserve a round of applause. The prioritized recommendations are a game-changer for anyone seeking actionable insights. It has quickly become an essential tool in my toolkit."
"Thank you for creating this amazing resource. You`ve made a real difference in my business and I`m sure it will do the same for countless others."
"I am impressed with the depth and accuracy of this dataset. The prioritized recommendations have proven invaluable for my project, making it a breeze to identify the most important actions to take."
Patent Search Case Study/Use Case example - How to use:
Title: Leveraging Visual Analytics Techniques to Optimize Patent Search and Analysis: A Case StudySynopsis:
In today′s hypercompetitive business landscape, intellectual property (IP) rights have emerged as critical assets for companies striving to maintain their market edge. Patents, in particular, play a pivotal role in protecting the innovations and technological advancements of businesses. However, managing patents remains a daunting task for many organizations, given the sheer volume of patent applications filed each year. To address this challenge, our client - a multinational technology corporation - sought our expertise in exploring the potential of visual analytics techniques to streamline their patent search and analysis processes. This case study delves into the client′s situation, our consulting methodology, deliverables, implementation challenges, and key performance indicators (KPIs) to assess the impact of visual analytics on patent search and analysis.
Client Situation:
Our client operates in the highly competitive technology sector, where innovation is the cornerstone of business success. The company files numerous patent applications annually, aiming to protect its inventions and maintain its competitive advantage. However, managing such a vast patent portfolio is fraught with challenges. These include:
1. Identifying and monitoring relevant patent applications and granted patents across numerous technology domains and jurisdictions
2. Analyzing the patent landscape to discern emerging trends, potential threats, and collaboration opportunities
3. Evaluating the strength and scope of patent portfolios through comprehensive infringement, validity, and freedom-to-operate assessments
4. Communicating complex patent-related insights to various stakeholders, including management, legal teams, and researchers, in a clear and engaging manner
Given the intricacies of patent search and analysis, our client approached us to explore the application of visual analytics techniques to augment their existing processes and mitigate the aforementioned challenges.
Consulting Methodology:
Our consulting methodology consisted of the following stages:
1. Information Gathering and Understanding the Client′s Needs: We commenced by conducting workshops and interviews with key stakeholders within the client′s organization to gain a comprehensive understanding of their patent search and analysis requirements.
2. Market Research and Best Practice Analysis: We analyzed relevant whitepapers, academic business journals, and market research reports to identify emerging trends and best practices in visual analytics for patent search and analysis.
3. Visual Analytics Framework Development: We synthesized our findings to design a tailored visual analytics framework, incorporating advanced data visualization techniques, machine learning algorithms, and natural language processing (NLP) tools.
4. Proof-of-Concept Implementation: We developed a prototype visual analytics platform, leveraging open-source and commercial tools, and conducted a pilot implementation to demonstrate the potential benefits of the proposed solution.
5. Validation and Knowledge Transfer: We evaluated the effectiveness of the visual analytics platform through a series of workshops, focus groups, and interviews. We subsequently refined the solution based on the feedback received and facilitated knowledge transfer to enable the client to manage the platform independently.
Deliverables:
Our deliverables encompassed:
1. Comprehensive reports on the state of the art in visual analytics for patent search and analysis, including case studies, best practices, and key vendor landscape insights
2. A tailored visual analytics framework, integrating data visualization techniques, machine learning algorithms, and NLP tools
3. A proof-of-concept implementation of a visual analytics platform
4. Training materials and workshops to facilitate independent management and adaptation of the platform
Implementation Challenges:
Implementing the visual analytics platform involved several challenges, including:
1. Data quality and standardization: Given the disparate sources and formats of patent data, ensuring consistent quality and standardization proved challenging
2. Integration of diverse technologies: Integrating data visualization tools, machine learning algorithms, and NLP techniques demanded a robust and adaptable architecture
3. Change management and user adoption: Encouraging stakeholders to embrace a new way of working and navigating the learning curve associated with the visual analytics platform
Key Performance Indicators (KPIs):
To evaluate the effectiveness of the visual analytics platform, we established the following KPIs:
1. Time savings: Reduction in the time taken to complete patent search and analysis tasks
2. Increased accuracy: Improvement in the precision and recall of search results
3. User satisfaction: Feedback from stakeholders regarding the usability, effectiveness, and value of the visual analytics platform
4. Actionable insights: Identification of strategic patent-related opportunities and threats
Conclusion:
The utilization of visual analytics techniques has significantly improved our client′s patent search and analysis capabilities. By deploying advanced data visualization tools, machine learning algorithms, and NLP techniques, the client has experienced enhanced efficiency, accuracy, and stakeholder engagement. This case study has demonstrated that, when implemented effectively, visual analytics can alleviate the challenges associated with managing complex patent portfolios, ultimately contributing to improved business outcomes and competitive advantage.
Citations:
1. Chen, H., u0026 Chang, C. (2014). A survey of data visualization techniques in patent analysis. Journal of Information Science, 40(3), 275-291.
2. Lee, Y., u0026 Lee, S. (2017). A visualization-based patent analysis system using topic modeling. Expert Systems with Applications, 89, 16-27.
3. Martinez, A., u0026 Torres, J. (2016). Patent Similarity Search using Text Mining Techniques. International Journal of Software Engineering u0026 Knowledge Engineering, 26(5), 863-883.
4. Rouers, Q., u0026 Gath, I. (2016). Data Visualization and Patent Analytics. In Patent Analytics (pp. 39-54). Springer, Cham.
5. Sivaraman, V., u0026 Park, Y. (2016). A visualization tool for patent landscape analysis. Technological Forecasting and Social Change, 119, 245-258.
6. Wang, W., u0026 Trappey, A. (2017). Integrating clustering with visualization for patent landscape analysis. Expert Systems with Applications, 84, 214-224.
7. Yang, Y., u0026 Huang, X. (2016). A patent visualization and analysis system based on Latent Dirichlet Allocation. Journal of Ambient Intelligence and Humanized Computing, 7(3), 363-375.
8. Zhao, Y., u0026 Li, X. (2018). Patent network analysis via visual analytics. Journal of Informetrics, 12(1), 273-288.
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