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Yong Shi

    Towards Efficient Fuzzy Information Processing
    Advances in Big Data Analytics
    Data mining and knowledge management
    Advances in Multiple Criteria Decision Making and Human Systems Management
    • Edited as a Festschrift in honor of Prof Milan Zeleny, this volume reflects and emulates his unmistakable legacy: the essential multidimensionality of human and social affairs. It contains papers dealing with: Multiple Criteria Decision Making; Social and Human System Management; and Information, Knowledge and Wisdom Management.

      Advances in Multiple Criteria Decision Making and Human Systems Management
    • Data mining and knowledge management

      • 263 Seiten
      • 10 Lesestunden
      4,0(2)Abgeben

      This book constitutes the thoroughly refereed post-proceedings of the Chinese Academy of Sciences Symosium on Data Mining and Knowledge Discovery CASDMKD 2004, held in Beijing, China in July 2004. The 25 revised full papers presented together with 3 invited keynote papers were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on data mining methodology, practical issues, data mining for bioinformatics, data mining applications, enterprise knowledge management, risk management and integration of data mining and knowledge management

      Data mining and knowledge management
    • Advances in Big Data Analytics

      Theory, Algorithms and Practices

      • 744 Seiten
      • 27 Lesestunden

      Focusing on the transformative impact of big data, this book offers a thorough exploration of big data analytics, detailing concepts such as multi-criteria optimization, support vector machines, and various analysis techniques. It highlights practical applications in business, engineering, and healthcare, sharing valuable lessons learned from real-world implementations. Additionally, the text delves into advanced topics, including the development of intelligence-quotient tests for artificial intelligence, making it a vital resource for understanding the future of data science.

      Advances in Big Data Analytics
    • Towards Efficient Fuzzy Information Processing

      Using the Principle of Information Diffusion

      • 396 Seiten
      • 14 Lesestunden

      The book explores the challenges of understanding behavior from limited information, emphasizing the principle of information diffusion developed in China over the past 15 years. This principle allows for the transformation of precise observations into fuzzy sets, enhancing the recognition of relationships between inputs and outputs. It has proven effective in estimating probability density functions and demonstrates the applicability of fuzzy set theory in both soft and hard sciences, highlighting its versatility and practical benefits in various fields.

      Towards Efficient Fuzzy Information Processing