عنوان

Data mining for scientific and engineering applications

شابک

1402000332

شابک

1402001142

شابک

9781402000331

شابک

9781402001147

شماره

b545455

عنوان اصلي

Data mining for scientific and engineering applications

نام عام مواد

[Book]

نام نخستين پديدآور

edited by Robert L. Grossman ... [et al.].

محل نشرو پخش و غیره

Dordrecht ; Boston ; London

نام ناشر، پخش کننده و غيره

Kluwer Academic, cop.

تاریخ نشرو بخش و غیره

2001

نام خاص و کميت اثر

XX, 605 str. : ilustr. ; 24 cm.

عنوان فروست

Massive computing, vol. 2.

متن يادداشت

Foreword. List of Contributors. List of Reviewers. Preface. 1. On Mining Scientific Datasets; C. Kamath. 2. Understanding High Dimensional and Large Data Sets: Some Mathematical Challenges and Opportunities; J. Chandra. 3. Data Mining at the Interface of Computer Science and Statistics; P. Smyth. 4. Mining Large Image Collections; M.C. Burl. 5. Mining Astronomical Databases; R.M. Humphreys, et al. 6. Searching for Bent-Double Galaxies in the First Survey; C. Kamath, et al. 7. A Dataspace Infrastructure for Astronomical Data; R. Grossman, et al. 8. Data Mining Applications in Bioinformatics; N. Ramakrishnan, A.Y. Grama. 9. Mining Residue Contacts in Proteins; M.J. Zaki, C. Bystroff. 10. KDD Services at the Goodard Earth Sciences Distributed Archive Center; C. Lynnes, R. Mack. 11. Data Mining in Integrated Data Access and Data Analysis Systems; R. Yang, et al. 12. Spatial Data Mining for Classification, Visualisation and Interpretation with Artmap Neural Network; W. Liu, et al. 13. Real Time Feature Extraction for the Analysis of Turbulent Flows; I. Marusic, et al. 14. Data Mining for Turbulent Flows; E.-H. Han, et al. 15. Evita-Efficient Visualization and Interrogation of Tera-Scale Data; R. Machiraju, et al. 16. Towards Ubiquitous Mining of Distributed Data; H. Kargupta, et al. 17. Decomposable Algorithms for Data Mining; R. Bhatnagar. 18. HDDI (R): Hierarchical Distributed Dynamic Indexing; W.M. Pottenger, et al.19. Parallel Algorithms for Clustering High-Dimensional Large-Scale Datasets; H. Nagesh, et al. 20. Efficient Clustering of Very Large Document Collections; I.S. Dhillon, et al. 21. A Scalable Hierarchical Algorithm for Unsupervised Clustering; D. Boley. 22. High-Performance Singular Value Decomposition; D.B. Skillicorn, X. Yang. 23. Mining High-Dimensional Scientific Data Sets Using Singular Value Decomposition; E. Maltseva, et al. 24. Spatial Dependence in Data Mining; J.P. LeSage, R.K. Pace. 25. Sparc: Spatial Association Rule-Based Classification; J. Han, et al. 26. What's Spatial About Spatial Data Mining: Three Case Studies; S. Shekhar, et al. 27. Predicting Failures in Event Sequences; M.J. Zaki, et al. 28. Efficient Algorithms for Mining Long Patterns in Scientific Data Sets; R.C. Agarwal, C.C. Aggarwal. 29. Probabilistic Estimation in Data Mining; E.P.D. Pednault, C. Apte. 30. Classification Using Association Rules: Weaknesses and Enhancements; B. Liu, et al.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

rudarjenje podatkov -- umetna inteligenca -- algoritmi

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

edited by Robert L. Grossman ... [et al.].

مستند نام اشخاص تاييد نشده

et al

مستند نام اشخاص تاييد نشده

Robert L Grossman

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y