Next Generation of Data Mining
eBook - PDF

Next Generation of Data Mining

  1. 601 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Next Generation of Data Mining

Book details
Table of contents
Citations

About This Book

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di

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Yes, you can access Next Generation of Data Mining by Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar, Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Ciencias computacionales general. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2008
ISBN
9781420085877
Edition
1
Topic
Ciencia de la computación
Subtopic
Ciencias computacionales general

Table of contents

  1. Front cover
  2. Dedication
  3. Contents
  4. Preface
  5. Acknowledgments
  6. Editors
  7. Contributors
  8. Part I: Data Mining in e-Science and Engineering
  9. Chapter 1. Research Challenges for Data Mining in Science and Engineering
  10. Chapter 2. Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining
  11. Chapter 3. Efficient Data-Mining Methods Enabling Genome-Wide Computing
  12. Chapter 4. Mining Frequent Approximate Sequential Patterns
  13. Chapter 5. Scientific Data Mining in Astronomy
  14. Part II: Ubiquitous, Distributed, and High Performance Data Mining
  15. Chapter 6. Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining
  16. Chapter 7. Research Challenges in Ubiquitous Knowledge Discovery
  17. Chapter 8. High-Performance Distributed Data Mining
  18. Chapter 9. User-Centered Biological Information Location by Combining User Profiles and Domain Knowledge
  19. Chapter 10. Issues and Challenges in Learning from Data Streams
  20. Chapter 11. Service-Oriented Architectures for Distributed and Mobile Knowledge Discovery
  21. Chapter 12. Discovering Emergent Behavior from Network Packet Data: Lessons from the Angle Project
  22. Chapter 13. Architecture Conscious Data Mining: Current Progress and Future Outlook
  23. Part III: The Web, Semantics, and Text Data Mining
  24. Chapter 14. Web 2.0 Mining: Analyzing Social Media
  25. Chapter 15. Searching for "Familiar Strangers" on Blogosphere
  26. Chapter 16. Toward Semantics-Enaled Infrastructure for Knowledge Acquisition from Distributed Data
  27. Chapter 17. Nonnegative Matrix Factorization for Document Classification
  28. Part IV: Data mining in Security, Surveillance, and Privacy Protection
  29. Chapter 18. Is Privacy Still an Issue for Data Mining?
  30. Chapter 19. Analysis of Social Networks and Group Dynamics from Electronic Communication
  31. Chapter 20. Challenges for Dynamic Heterogeneous Networks in Observational Sciences
  32. Chapter 21. Privacy-Preserving Data Analysis on Graphs and Social Networks
  33. Part V: Medicine, Social Science, Finance, and Spatial Data Mining
  34. Chapter 22. Risk Mining as New Trends in Hospital Management
  35. Chapter 23. Challenges for Information Discovery on Electronic Medical Records
  36. Chapter 24. Market-Based Profile Infrastructure: Giving Back to the User
  37. Chapter 25. Challenges in Mining Financial Data
  38. Chapter 26. Spatial and Spatiotemporal Data Mining: Recent Advances
  39. Index
  40. Back cover