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Tag: expert systems

  • Industrial Recommender System: Principles, Technologies and Enterprise Applications

    Industrial Recommender System: Principles, Technologies and Enterprise Applications


    Price: $79.99
    (as of Dec 24,2024 06:59:53 UTC – Details)




    Publisher ‏ : ‎ Springer; 2024th edition (June 1, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 261 pages
    ISBN-10 ‏ : ‎ 9819725801
    ISBN-13 ‏ : ‎ 978-9819725809
    Item Weight ‏ : ‎ 1.3 pounds
    Dimensions ‏ : ‎ 6 x 0.7 x 8.9 inches


    In today’s fast-paced industrial landscape, businesses are constantly seeking innovative ways to improve efficiency, productivity, and decision-making processes. One such solution that has gained traction in recent years is the industrial recommender system.

    Industrial recommender systems leverage algorithms and machine learning techniques to analyze vast amounts of data and provide personalized recommendations to users based on their preferences and behavior. These systems can be used in various industries, including manufacturing, logistics, and supply chain management, to optimize operations and drive business growth.

    In this post, we will explore the principles behind industrial recommender systems, the technologies that power them, and their applications in enterprise settings.

    Principles of Industrial Recommender Systems:

    Industrial recommender systems are built on the principles of collaborative filtering, content-based filtering, and hybrid approaches. Collaborative filtering involves making recommendations based on the preferences and behavior of similar users, while content-based filtering recommends items based on their attributes and features. Hybrid approaches combine these two methods to provide more accurate and diverse recommendations.

    Technologies Powering Industrial Recommender Systems:

    Industrial recommender systems rely on advanced technologies such as machine learning, natural language processing, and big data analytics. Machine learning algorithms, such as matrix factorization and deep learning, are used to analyze data and generate recommendations. Natural language processing techniques are employed to understand user preferences and feedback, while big data analytics helps process large volumes of data quickly and effectively.

    Enterprise Applications of Industrial Recommender Systems:

    Industrial recommender systems can be used in various enterprise applications, including product recommendation, inventory management, and predictive maintenance. In manufacturing, these systems can help optimize production schedules and minimize downtime by recommending the most efficient workflows. In logistics and supply chain management, recommender systems can assist in route optimization and inventory forecasting.

    Overall, industrial recommender systems offer a powerful tool for businesses looking to streamline operations, improve decision-making, and drive growth. By leveraging the principles, technologies, and applications of these systems, enterprises can stay ahead of the competition and adapt to the ever-changing demands of the industrial landscape.
    #Industrial #Recommender #System #Principles #Technologies #Enterprise #Applications

  • Making Knowledge Management Clickable: Knowledge Management Systems Strategy, Design, and Implementation

    Making Knowledge Management Clickable: Knowledge Management Systems Strategy, Design, and Implementation


    Price: $79.99 – $51.25
    (as of Dec 24,2024 06:13:20 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2022 edition (March 15, 2022)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 336 pages
    ISBN-10 ‏ : ‎ 3030923843
    ISBN-13 ‏ : ‎ 978-3030923846
    Item Weight ‏ : ‎ 1.15 pounds
    Dimensions ‏ : ‎ 6.1 x 0.76 x 9.25 inches

    Customers say

    Customers find the book comprehensive and easy to follow, covering knowledge management topics. They appreciate its clear case for the importance of good KM and how to navigate the “everyone knows” terminology. The practical steps provided are easy to understand, with a long-term, strategic, and near-term approach.

    AI-generated from the text of customer reviews


    In today’s fast-paced digital world, the ability to effectively manage and utilize knowledge is crucial for organizations to stay competitive and innovative. Knowledge management systems (KMS) play a key role in enabling organizations to capture, store, share, and utilize knowledge effectively.

    However, simply implementing a KMS is not enough. To truly make knowledge management “clickable” and drive value for the organization, a comprehensive strategy, thoughtful design, and effective implementation are essential.

    A successful knowledge management systems strategy starts with understanding the organization’s goals, objectives, and knowledge needs. This involves identifying key knowledge assets, determining how knowledge flows within the organization, and defining the desired outcomes of the KMS implementation.

    The design of the KMS is also critical to its success. This includes selecting the right technology platform, designing user-friendly interfaces, and creating workflows that facilitate knowledge sharing and collaboration. A well-designed KMS should be intuitive, accessible, and customizable to meet the unique needs of users within the organization.

    Finally, the implementation of the KMS requires careful planning, communication, and training. It is important to involve key stakeholders throughout the process, address any resistance to change, and provide ongoing support and training to ensure successful adoption and utilization of the KMS.

    In conclusion, making knowledge management “clickable” requires a strategic approach to KMS that encompasses strategy, design, and implementation. By investing time and resources in these areas, organizations can unlock the full potential of their knowledge assets and drive innovation, efficiency, and competitive advantage.
    #Making #Knowledge #Management #Clickable #Knowledge #Management #Systems #Strategy #Design #Implementation

  • Building Expert Systems: A Tutorial

    Building Expert Systems: A Tutorial


    Price: $68.00 – $61.50
    (as of Dec 24,2024 05:27:49 UTC – Details)




    Publisher ‏ : ‎ Prentice Hall (January 1, 1988)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 400 pages
    ISBN-10 ‏ : ‎ 0130862401
    ISBN-13 ‏ : ‎ 978-0130862402
    Item Weight ‏ : ‎ 2.03 pounds


    Building Expert Systems: A Tutorial

    Are you interested in learning how to create expert systems? Expert systems are AI-powered systems that mimic the decision-making abilities of a human expert in a specific domain. In this tutorial, we will walk you through the steps of building your own expert system from scratch.

    Step 1: Define the Problem Domain
    The first step in building an expert system is to define the problem domain. This involves identifying the specific area in which the expert system will operate and the types of decisions it will need to make.

    Step 2: Gather Knowledge
    Next, you will need to gather the knowledge that the expert system will use to make decisions. This knowledge can come from subject matter experts, existing data sources, or other sources of information relevant to the problem domain.

    Step 3: Represent Knowledge
    Once you have gathered the necessary knowledge, you will need to represent it in a format that the expert system can understand. This typically involves creating a knowledge base that contains rules, facts, and other information that the system will use to make decisions.

    Step 4: Implement Inference Engine
    The inference engine is the component of the expert system that processes the knowledge base to make decisions. This involves using algorithms and logic to infer conclusions from the available data.

    Step 5: Test and Refine
    Finally, you will need to test your expert system to ensure that it is functioning correctly. This may involve running test cases, conducting user testing, and refining the system based on feedback.

    By following these steps, you can build your own expert system and take advantage of the power of AI to make complex decisions in a specific domain. Good luck!
    #Building #Expert #Systems #Tutorial

  • The Expert System’s Champion (The Expert System’s Brother Book 2)

    The Expert System’s Champion (The Expert System’s Brother Book 2)


    Price: $9.99
    (as of Dec 24,2024 04:42:19 UTC – Details)




    ASIN ‏ : ‎ B088Q8RZ18
    Publisher ‏ : ‎ Tordotcom (January 26, 2021)
    Publication date ‏ : ‎ January 26, 2021
    Language ‏ : ‎ English
    File size ‏ : ‎ 2452 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Enabled
    Word Wise ‏ : ‎ Enabled
    Print length ‏ : ‎ 194 pages

    Customers say

    Customers praise the book for its imaginative storyline, complex and nuanced plot, and engaging adventure. They find the world-building fascinating and the author’s descriptions of foreign concepts easy to understand. The book explores the power over fear and how it can be used as a tool.

    AI-generated from the text of customer reviews


    Are you ready for the next thrilling installment in The Expert System’s Brother series? Get ready for The Expert System’s Champion, where secrets are revealed, alliances are tested, and the fate of the universe hangs in the balance.

    In this highly anticipated sequel, our hero must navigate a dangerous world filled with political intrigue, technological marvels, and ancient prophecies. With the help of his trusty AI companion, he must uncover the truth behind a mysterious conspiracy that threatens to tear their world apart.

    As the champion of the Expert System, our hero must use all of his skills and cunning to outsmart his enemies and protect those he cares about. But will his efforts be enough to save the galaxy from destruction?

    Join us on this epic journey through a world of artificial intelligence, cybernetic enhancements, and interstellar conflict. The Expert System’s Champion is a gripping sci-fi adventure that will keep you on the edge of your seat until the very last page.

    Don’t miss out on this thrilling sequel – pick up your copy of The Expert System’s Champion today!
    #Expert #Systems #Champion #Expert #Systems #Brother #Book

  • The Expert Systems Champion – Paperback By Tchaikovsky, Adrian – GOOD

    The Expert Systems Champion – Paperback By Tchaikovsky, Adrian – GOOD



    The Expert Systems Champion – Paperback By Tchaikovsky, Adrian – GOOD

    Price : 5.63 – 4.39

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    Are you looking for a comprehensive guide to expert systems and artificial intelligence? Look no further than “The Expert Systems Champion” by Adrian Tchaikovsky. This paperback book is a must-have for anyone interested in delving deeper into the world of expert systems.

    Tchaikovsky expertly breaks down complex concepts in a way that is easy to understand, making this book accessible to both beginners and experts in the field. With practical examples and real-world applications, you’ll be able to apply what you learn to your own projects and work.

    Whether you’re a student studying AI, a professional looking to expand your knowledge, or simply curious about the potential of expert systems, this book is a valuable resource. Don’t miss out on the opportunity to learn from the best – pick up your copy of “The Expert Systems Champion” today!
    #Expert #Systems #Champion #Paperback #Tchaikovsky #Adrian #GOOD

  • Artificial Intelligence and Expert Systems

    Artificial Intelligence and Expert Systems


    Price: $49.95 – $35.74
    (as of Dec 24,2024 03:54:44 UTC – Details)



    Artificial Intelligence and Expert Systems: Revolutionizing the Future

    Artificial Intelligence (AI) and Expert Systems are rapidly transforming the way we live, work, and interact with technology. These cutting-edge technologies have the potential to revolutionize industries across the board, from healthcare and finance to transportation and customer service.

    AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Expert Systems, on the other hand, are specialized computer programs that mimic the decision-making abilities of a human expert in a specific domain. When combined, these technologies can create powerful solutions that can solve complex problems and make informed decisions in real-time.

    One of the key benefits of AI and Expert Systems is their ability to analyze vast amounts of data quickly and accurately, leading to improved efficiency and productivity. For example, in the healthcare industry, AI-powered diagnostic tools can help doctors make more accurate diagnoses and treatment plans, ultimately saving lives.

    In the financial sector, AI algorithms can analyze market trends and predict stock prices with a high degree of accuracy, helping investors make informed decisions and maximize their returns. Additionally, in customer service, chatbots powered by AI can provide instant support to customers, improving satisfaction and reducing response times.

    However, as with any emerging technology, there are also concerns about the ethical implications of AI and Expert Systems. Issues such as data privacy, bias in algorithms, and job displacement are hotly debated topics that need to be addressed as these technologies continue to evolve.

    In conclusion, Artificial Intelligence and Expert Systems have the potential to revolutionize industries and improve our lives in countless ways. By harnessing the power of these technologies responsibly and ethically, we can create a future that is smarter, more efficient, and more connected than ever before.
    #Artificial #Intelligence #Expert #Systems

  • Expert Systems in Education and Training

    Expert Systems in Education and Training



    Expert Systems in Education and Training

    Price : 48.74

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    Expert Systems in Education and Training

    Expert systems, also known as knowledge-based systems, are computer programs that emulate the decision-making abilities of a human expert in a specific domain. In the field of education and training, these systems have the potential to revolutionize the way students learn and teachers impart knowledge.

    One of the key advantages of expert systems in education is their ability to provide personalized and adaptive learning experiences. By analyzing a student’s performance and learning preferences, an expert system can tailor its content and delivery to meet the individual needs of each student. This not only enhances student engagement and motivation but also improves learning outcomes.

    In addition, expert systems can assist teachers in designing and delivering effective instruction. These systems can provide educators with real-time feedback on student progress, suggest personalized learning strategies, and even automate routine tasks such as grading and assessment. This frees up teachers to focus on more meaningful interactions with their students and helps improve overall teaching quality.

    Furthermore, expert systems can also be used for training purposes in various industries and professions. By capturing the knowledge and expertise of experienced practitioners, these systems can help trainees acquire essential skills and knowledge in a more efficient and effective manner. This can be particularly beneficial in fields where hands-on experience is limited or costly, such as healthcare or aerospace.

    Overall, expert systems have the potential to transform education and training by providing personalized, adaptive, and efficient learning experiences. As technology continues to advance, it is likely that these systems will play an increasingly important role in shaping the future of education and professional development.
    #Expert #Systems #Education #Training

  • Expert Systems and Probabilistic Network Models (Monographs in Computer science)

    Expert Systems and Probabilistic Network Models (Monographs in Computer science)



    Expert Systems and Probabilistic Network Models (Monographs in Computer science)

    Price : 32.00

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    Expert Systems and Probabilistic Network Models (Monographs in Computer Science)

    Are you interested in learning more about expert systems and probabilistic network models in computer science? Look no further than this comprehensive monograph, which delves into the intricacies of these advanced technologies.

    Expert systems are AI systems that mimic the decision-making abilities of a human expert in a specific domain. These systems use knowledge bases and inference engines to provide expert-level advice and recommendations. Probabilistic network models, on the other hand, are used to represent and reason about uncertainty in a system. By combining these two technologies, researchers and practitioners can create powerful tools for solving complex problems in various domains.

    This monograph covers the theoretical foundations of expert systems and probabilistic network models, as well as practical applications in areas such as healthcare, finance, and cybersecurity. It also explores cutting-edge research in the field, highlighting the latest advancements and future directions.

    Whether you are a seasoned professional looking to expand your knowledge or a student interested in exploring the cutting-edge of computer science, this monograph is a must-read. Get your copy today and unlock the potential of expert systems and probabilistic network models in your work.
    #Expert #Systems #Probabilistic #Network #Models #Monographs #Computer #science

  • Expert Systems in Prolog

    Expert Systems in Prolog


    Price: $9.99
    (as of Dec 24,2024 03:06:09 UTC – Details)




    Publisher ‏ : ‎ Independently published (May 22, 2017)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 239 pages
    ISBN-10 ‏ : ‎ 1723821861
    ISBN-13 ‏ : ‎ 978-1723821868
    Item Weight ‏ : ‎ 13.4 ounces
    Dimensions ‏ : ‎ 6 x 0.6 x 9 inches


    Expert Systems in Prolog

    Expert systems are computer programs that mimic the decision-making capabilities of a human expert in a specific domain. These systems are designed to solve complex problems by reasoning through a set of rules and knowledge about the domain.

    Prolog, a logic programming language, is well-suited for implementing expert systems due to its ability to represent knowledge in the form of logical rules and facts. In Prolog, knowledge is represented as a set of rules and facts that are used to infer new knowledge.

    Expert systems in Prolog typically consist of a knowledge base, which contains rules and facts about the domain, and an inference engine, which uses these rules and facts to make decisions. The inference engine in Prolog works by matching the input data against the rules in the knowledge base and deriving new information based on the rules.

    One of the key advantages of using Prolog for expert systems is its declarative nature, which allows for easy representation and manipulation of knowledge. Additionally, Prolog’s pattern matching capabilities make it well-suited for handling complex decision-making tasks.

    Overall, Prolog is a powerful tool for implementing expert systems, providing a flexible and efficient way to represent and reason about knowledge in a domain-specific manner.
    #Expert #Systems #Prolog

  • Fuzzy Expert Systems and Fuzzy Reasoning

    Fuzzy Expert Systems and Fuzzy Reasoning



    Fuzzy Expert Systems and Fuzzy Reasoning

    Price : 116.41

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    Fuzzy Expert Systems and Fuzzy Reasoning: Exploring the World of Uncertainty

    In the realm of artificial intelligence, expert systems have long been used to mimic the decision-making processes of human experts in specific domains. However, traditional expert systems rely on crisp, binary logic to make decisions, which can be limiting when faced with uncertain or imprecise information.

    Enter fuzzy expert systems and fuzzy reasoning, a branch of AI that deals with uncertainty by allowing for degrees of truth rather than strict true/false values. This approach is particularly useful in situations where information is vague, incomplete, or ambiguous.

    Fuzzy expert systems use fuzzy logic to model human reasoning patterns and make decisions based on fuzzy rules and linguistic variables. By incorporating fuzzy sets, fuzzy membership functions, and fuzzy inference mechanisms, these systems can handle uncertainty and imprecision in a more natural and flexible way.

    Fuzzy reasoning, a key component of fuzzy expert systems, allows for the gradual transition between different degrees of truth, enabling the system to make decisions based on fuzzy rules and linguistic variables. This allows for more nuanced and context-sensitive decision-making, particularly in complex and uncertain environments.

    Overall, fuzzy expert systems and fuzzy reasoning offer a powerful tool for dealing with uncertainty in AI applications. By embracing the fuzziness of real-world data and knowledge, these systems can better model human reasoning processes and provide more accurate and robust decision-making capabilities.
    #Fuzzy #Expert #Systems #Fuzzy #Reasoning