Knowledge-Based Clustering : From Data to Information Granules
来源:互联网 发布:模仿软件 编辑:程序博客网 时间:2024/06/05 10:04
版权声明:原创作品,允许转载,转载时请务必以超链接形式标明文章原始出版、作者信息和本声明。否则将追究法律责任。http://blog.csdn.net/topmvp - topmvp
Discover the latest powerful tools in knowledge management Knowledge-Based Clustering demonstrates how to design navigational platforms that enable information seekers to make sense of and better exploit highly diverse and heterogeneous sets of data. Moving beyond fuzzy clustering, the author shows how the promising new paradigm of knowledge-based clustering can reveal more meaningful data structure and enable society to better cope with the ever-growing flood of data and information. With this book, readers come to understand the fundamentals of knowledge-based clustering and its associated algorithms, and then learn to apply their knowledge to system modeling and design. The book begins with an introduction to the field and a discussion of fuzzy clustering and granular computing. Then, the author delves into logic-based neurons and ensuing neural networks. The core part of the book consists of nine chapters in which highly diversified methodologies of knowledge-based clustering are presented and analyzed. The third section of the book is devoted to models, beginning with a discussion of the hyperbox architectures and then moving on to granular mappings and linguistic models. All the tools and guidance needed to understand and master this exciting new field are provided: Numerous practical examples illustrating key concepts Reproducible experiments that offer readers the opportunity for hands-on experience Comprehensive coverage of prerequisites that set the foundation for complex algorithms and modeling Conclusion section at the end of each chapter that emphasizes the key points needed to move forward in the text References plus an extensive bibliography leading to further avenues of exploration on specialized topics This is must reading for researchers, professionals, and students interested in clustering, fuzzy clustering, unsupervised learning, neural networks, fuzzy sets, pattern recognition, and system modeling. With the author's emphasis on mastering the prerequisites, coupled with carefully constructed practical examples and experiments, readers will be well on their way to becoming knowledge-based clustering experts themselves.
http://rapidshare.com/files/51094772/0471469661.rar
Discover the latest powerful tools in knowledge management Knowledge-Based Clustering demonstrates how to design navigational platforms that enable information seekers to make sense of and better exploit highly diverse and heterogeneous sets of data. Moving beyond fuzzy clustering, the author shows how the promising new paradigm of knowledge-based clustering can reveal more meaningful data structure and enable society to better cope with the ever-growing flood of data and information. With this book, readers come to understand the fundamentals of knowledge-based clustering and its associated algorithms, and then learn to apply their knowledge to system modeling and design. The book begins with an introduction to the field and a discussion of fuzzy clustering and granular computing. Then, the author delves into logic-based neurons and ensuing neural networks. The core part of the book consists of nine chapters in which highly diversified methodologies of knowledge-based clustering are presented and analyzed. The third section of the book is devoted to models, beginning with a discussion of the hyperbox architectures and then moving on to granular mappings and linguistic models. All the tools and guidance needed to understand and master this exciting new field are provided: Numerous practical examples illustrating key concepts Reproducible experiments that offer readers the opportunity for hands-on experience Comprehensive coverage of prerequisites that set the foundation for complex algorithms and modeling Conclusion section at the end of each chapter that emphasizes the key points needed to move forward in the text References plus an extensive bibliography leading to further avenues of exploration on specialized topics This is must reading for researchers, professionals, and students interested in clustering, fuzzy clustering, unsupervised learning, neural networks, fuzzy sets, pattern recognition, and system modeling. With the author's emphasis on mastering the prerequisites, coupled with carefully constructed practical examples and experiments, readers will be well on their way to becoming knowledge-based clustering experts themselves.
http://rapidshare.com/files/51094772/0471469661.rar
- Knowledge-Based Clustering : From Data to Information Granules
- Data-Information-Knowledge-Wisdom Pyramid
- Building customer models from business data: an automatic approach based on fuzzy clustering maching
- The Differences Between Data, Information and Knowledge
- IJCAI13 Web and Knowledge-based Information Systems概述(1)
- To develop knowledge-based system for my research topic
- Attention-based Extraction of Structured Information from Street View Imagery
- Discovering Knowledge in Data: An Introduction to Data Mining
- Mining the Web: Discovering Knowledge from Hypertext Data
- #Paper Reading# Lifelong aspect extraction from big data knowledge engineering
- Knowledge-based system
- 【Summary】From Biology to Information Technology
- density based clustering algorithm,
- how to become a data scientist - see knowledge graph
- 论文阅读:Knowledge Based Segmentation for Fast 3D Dental Reconstruction from CBCT
- Ask Me Anything:Free-form Visual Question Answering Based on Knowledge from External Sources
- #Paper Reading# Online Knowledge-Based Model for Big Data Topic Extraction
- GIS的发展(from geographic information system to geographic information service,from static to dynamic )
- Object-Oriented Programming: From Problem Solving to Java
- Linux Network Security
- Essential SourceSafe
- Office 2003 Application Development All-in-One Desk Reference For Dummies
- Access Database Design and Programming
- Knowledge-Based Clustering : From Data to Information Granules
- The Hands-On Project Office: Guaranteeing ROI and On-Time Delivery
- Expert Oracle9i Database Administration
- .NET Framework Solutions: In Search of the Lost Win32 API
- Linux for Embedded and Real-Time Applications
- Fast and Efficient Context-Aware Services (Wiley Series on Communications Networking & Distributed S
- Refactoring in Large Software Projects : Performing Complex Restructurings Successfully
- Semantic Web Technologies : Trends and Research in Ontology-based Systems
- Linux All-in-One Desk Reference For Dummies