[經(jīng)濟(jì)學(xué)]applicationsandtrendsindatamining-資料下載頁(yè)
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【正文】 clude data visualization, mining result visualization, mining process visualization and interactive visual mining ? There are many other scientific and statistical data mining methods developed but not covered in this book ? Also, it is important to study theoretical foundations of data mining ? Intelligent query answering can be integrated with mining ? It is important to watch privacy and security issues in data mining 2022年 3月 13日星期日 Data Mining: Concepts and Techniques 48 References (1) ? M. Ankerst, C. Elsen, M. Ester, and . Kriegel. Visual classification: An interactive approach to decision tree construction. KDD39。99, San Diego, CA, Aug. 1999. ? P. Baldi and S. Brunak. Bioinformatics: The Machine Learning Approach. MIT Press, 1998. ? S. Benninga and B. Czaczkes. Financial Modeling. MIT Press, 1997. ? L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification and Regression Trees. Wadsworth International Group, 1984. ? M. Berthold and D. J. Hand. Intelligent Data Analysis: An Introduction. SpringerVerlag, 1999. ? M. J. A. Berry and G. Linoff. Mastering Data Mining: The Art and Science of Customer Relationship Management. John Wiley amp。 Sons, 1999. ? A. Baxevanis and B. F. F. Ouellette. Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins. John Wiley amp。 Sons, 1998. ? Q. Chen, M. Hsu, and U. Dayal. A datawarehouse/OLAP framework for scalable telemunication tandem traffic analysis. ICDE39。00, San Diego, CA, Feb. 2022. ? W. Cleveland. Visualizing Data. Hobart Press, Summit NJ, 1993. ? S. Chakrabarti, S. Sarawagi, and B. Dom. Mining surprising patterns using temporal description length. VLDB39。98, New York, NY, Aug. 1998. 2022年 3月 13日星期日 Data Mining: Concepts and Techniques 49 References (2) ? J. L. Devore. Probability and Statistics for Engineering and the Science, 4th ed. Duxbury Press, 1995. ? A. J. Dobson. An Introduction to Generalized Linear Models. Chapman and Hall, 1990. ? B. Gates. Business @ the Speed of Thought. New York: Warner Books, 1999. ? M. Goebel and L. Gruenwald. A survey of data mining and knowledge discovery software tools. SIGKDD Explorations, 1:2033, 1999. ? D. Gusfield. Algorithms on Strings, Trees and Sequences, Computer Science and Computation Biology. Cambridge University Press, New York, 1997. ? J. Han, Y. Huang, N. Cercone, and Y. Fu. Intelligent query answering by knowledge discovery techniques. IEEE Trans. Knowledge and Data Engineering, 8:373390, 1996. ? R. C. Higgins. Analysis for Financial Management. Irwin/McGrawHill, 1997. ? C. H. Huberty. Applied Discriminant Analysis. New York: John Wiley amp。 Sons, 1994. ? T. Imielinski and H. Mannila. A database perspective on knowledge discovery. Communications of ACM, 39:5864, 1996. ? D. A. Keim and . Kriegel. VisDB: Database exploration using multidimensional visualization. Computer Graphics and Applications, pages 4049, Sept. 94. 2022年 3月 13日星期日 Data Mining: Concepts and Techniques 50 References (3) ? J. M. Kleinberg, C. Papadimitriou, and P. Raghavan. A microeconomic view of data mining. Data Mining and Knowledge Discovery, 2:311324, 1998. ? H. Mannila. Methods and problems in data mining. ICDT39。99 Delphi, Greece, Jan. 1997. ? R. Mattison. Data Warehousing and Data Mining for Telemunications. Artech House, 1997. ? R. G. Miller. Survival Analysis. New York: Wiley, 1981. ? G. A. Moore. Crossing the Chasm: Marketing and Selling HighTech Products to Mainstream Customers. Harperbusiness, 1999. ? R. H. Shumway. Applied Statistical Time Series Analysis. Prentice Hall, 1988. ? E. R. Tufte. The Visual Display of Quantitative Information. Graphics Press, Cheshire, CT, 1983. ? E. R. Tufte. Envisioning Information. Graphics Press, Cheshire, CT, 1990. ? E. R. Tufte. Visual Explanations : Images and Quantities, Evidence and Narrative. Graphics Press, Cheshire, CT, 1997. ? M. S. Waterman. Introduction to Computational Biology: Maps, Sequences, and Genomes (Interdisciplinary Statistics). CRC Press, 1995. 2022年 3月 13日星期日 Data Mining: Concepts and Techniques 5
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