Fractals text mining using bibliometrics and database tomography

Fractals

Volumn 12, Issue 1, 2004, Pages 1-16

  Kostoff, Ronald N ^a   Shlesinger, Michael F ^a   Malpohl, Guido ^b  

^a OFFICE OF NAVAL RESEARCH   (United States)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

Bibliometrics; Computational Linguistics; Fractals; Multi fractal; Self organized criticality; Self similarity; Text mining

Indexed keywords

ALGORITHMS; COMPUTATIONAL LINGUISTICS; DATA REDUCTION; DATABASE SYSTEMS; TOMOGRAPHY;

BIBLIOMETRICS; CRITICALITY; MULTI-FRACTAL; SELF-ORGANIZED; SELF-SIMILARITY; TEXT-MINING;

FRACTALS;

EID: 1442285648     PISSN: 0218348X     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218348X04002343     Document Type: Article

References (28)

1. R. N. Kostoff, "Database Tomography for Technical Intelligence," Compet. Intell. Rev. 4(1), 38-43 (1993).
2. R. N. Kostoff, "Database Tomography: Origins and Applications," Compet. Intell. Rev. Special Issue Technol. 5(1), 48-55 (1994).
3. R. N. Kostoff et al., System and Method for Database Tomography US Patent Number 5440481.
4. R. N. Kostoff, H. J. Eberhart and D. R. Toothman, "Database Tomography for Information Retrieval," J. Inf. Sci. 23(4), 301-311 (1997a).
5. R. N. Kostoff, D. R. Toothman, H. J. Eberhart and J. A. Humenik, "Text Mining Using Database Tomography and Bibliometrics: A Review," Technol. Forecast. Social Change 68(3), 223-253 (2001).
6. R. N. Kostoff, H. J. Eberhart and D. R. Toothman, "Hypersonic and Supersonic Flow Roadmaps Using Bibliometrics and Database Tomography," JASIS 50(5), 427-447 (1999).
7. R. N. Kostoff, H. J. Eberhart and D. R. Toothman, "Database Tomography for Technical Intelligence: A Roadmap of the Near-Earth Space Science and Technology Literature," Inf. Process. Manage. 34(1), 69-85 (1998a).
8. R. N. Kostoff, H. J. Eberhart, D. R. Toothman and R. Pellenbarg, "Database Tomography for Technical Intelligence: Comparative Roadmaps of the Research Impact Assessment Literature and the Journal of the American Chemical Society," Scientometrics 40(1), 103-138 (1997b).
9. R. N. Kostoff, T. Braun, A. Schubert, D. R. Toothman and J. A. Humenik, "Fullerene Roadmaps Using Bibliometrics and Database Tomography," J. Chem. Inf. Comput. Sci. 40(1), 19-39 (2000a).
10. R. N. Kostoff, K. A. Green, D. R. Toothman and J. A. Humenik, "Database Tomography Applied to an Aircraft Science and Technology Investment Strategy," J. Aircraft 37(4), 727-730 (2000b).
11. R. N. Kostoff, R. Tshiteya, K. M. Pfeil and J. A. Humenik, "Electrochemical Power Source Roadmaps Using Bibliometrics and Database Tomography," J. Power Sources 110(1), 163-176 (2002).
12. R. N. Kostoff, M. F. Shlesinger and R. Tshiteya, "Nonlinear Dynamics Roadmaps Using Bibliometrics and Database Tomography," Int. J. Bifur. Chaos, in press (2003a).
13. M. J. Wise, String Similarity via Greedy String Tiling and Running Karb-Rabin Matching, Department of Computer Science, University of Sydney (ftp://ftp.cs.su.oz.au/michaelw/doc/RKR_GST.ps).
14. SCI: Science Citation Index (Institute for Scientific Information, Philadelphia, 2002).
15. R. N. Kostoff, "The Underpublishing of Science and Technology Results," Scientist 14(9), 6-6 (2000c).
16. E. Garfield, "History of Citation Indexes for Chemistry - A Brief Review," JCICS 25(3), 170-174 (1985).
17. R. N. Kostoff, "The Use and Misuse of Citation Analysis in Research Evaluation," Scientometrics 43(1), 27-43 (1998b).
18. M. H. MacRoberts and B. R. MacRoberts, "Problems of Citation Analysis," Scientometrics 36(3), 435-444 (1996).
19. R. N. Kostoff, M. F. Shlesinger and G. Malpohl, "Fractals Roadmaps Using Bibliometrics and Database Tomography," SSC San Diego SDONR 477 (Space and Naval Warfare Systems Center, San Diego, CA, June 2003).
20. P. Willet, "Recent Trends in Hierarchical Document Clustering: A Critical Review," Inf. Process. Manage. 24, 577-597 (1998).
21. E. Rasmussen, "Clustering Algorithms," in Information Retrieval Data Structures and Algorithms, eds. W. B. Frakes and R. Baeza-Yates (Prentice Hall, New Jersey, 1992).
22. D. R. Cutting, D. R. Karger, J. O. Pedersen and J. W. Tukey, "Scatter/Gather: A Cluster-Based Approach to Browsing Large Document Collections," in Proceedings of the 15th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'92), 1992, pp. 318-329.
23. S. Guha, R. Rastogi and K. Shim, "CURE: An Efficient Clustering Algorithm for Large Databases," in Proceedings of the ACM-SIGMOD 1998 International Conference on Management of Data (SIGMOD'98), 1998, pp. 73-84.
24. M. A. Hearst, "The Use of Categories and Clusters in Information Access Interfaces," in Natural Language Information Retrieval, ed. T. Strzalkowski, (Kluwer Academic Publishers, 1998).
25. O. Zamir and O. Etzioni, "Web Document Clustering: A Feasibility Demonstration," in Proceedings of the 19th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98), 1998, pp. 46-54.
26. G. Karypis, E.-H. Han and V. Kumar, "Chameleon: A Hierarchical Clustering Algorithm Using Dynamic Modeling," IEEE Comput. Special Issue Data Anal. Mining 32(8), 68-75 (1999).
27. M. Steinbach, G. Karypis and V. Kumar, A Comparison of Document Clustering Techniques, Technical Report #00-034, Department of Computer Science and Engineering, University of Minnesota, 2000.
28. L. Prechelt, G. Malpohl and M. Philippsen, "Finding Plagiarisms Among a Set of Programs with JPlag," J. Univ. Comput. Sci. 8(11), 1016-1038 (2002).