Carnegie Mellon University
10-603/15-826 Multimedia Databases and Data Mining
Spring 2002 - C. Faloutsos
Reading List
Required text
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[Textbook] C. Faloutsos Searching Multimedia Databases
by Content, Kluwer Academic Press, 1996. Evaluation
draft (gzipped - internal to CMU).
Recommended text
A. Multimedia Indexing
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Transparencies of lectures in
ppt
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Primary key access methods
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Secondary key and spatial access methods
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A. Guttman R-Trees:
a Dynamic Index Structure for Spatial Searching, Proc. ACM SIGMOD,
June 1984, pp. 47-57, Boston, Mass.
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J. Orenstein, Spatial
Query Processing in an Object-Oriented Database System, Proc. ACM
SIGMOD, May, 1986, pp. 326-336, Washington D.C..
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Textbook, chapters 4 and 5.
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Fractals
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Ibrahim Kamel and Christos Faloutsos, Hilbert R-tree: An improved R-tree
using fractals Proc. of VLDB Conference, Santiago, Chile, Sept. 12-15,
1994, pp. 500-509. (postscript
here)
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Christos Faloutsos and Ibrahim Kamel, Beyond Uniformity and Independence:
Analysis of R-trees Using the Concept of Fractal Dimension, Proc. ACM
SIGACT-SIGMOD-SIGART PODS, May 1994, pp. 4-13, Minneapolis, MN, (postscript
here)
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Text and LSI
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Textbook, chapter 6
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Peter W. Foltz and Susan T. Dumais, Personalized Information Delivery:
an Analysis of Information Filtering Methods, Comm. of ACM (CACM),
35, 12, Dec. 1992, pp. 51-60. (hard copy - in reserve)
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SVD: In PTVF ch. 2.6; Textbook Appendix
D
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Time sequences
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DSP and image databases
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Myron Flickner, Harpreet Sawhney, Wayne Niblack, Jon Ashley, Qian Huang,
Byron Dom, Monika Gorkani, Jim Hafner, Denis Lee, Dragutin Petkovic, David
Steele and Peter Yanker Query by Image and Video Content: the QBIC System
IEEE Computer 28, 9, Sep. 1995, pp. 23-32. (hard copy - in reserve)
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Journal
of Intelligent Inf. Systems, 3, 3/4, pp. 231-262, 1994 An earlier,
more technical version of the IEEE Computer '95 paper.
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FastMap: Textbook chapter 11; Also in: C. Faloutsos and
K.I. Lin FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization
of Traditional and Multimedia Datasets ACM SIGMOD 95, pp. 163-174 postscript
of paper
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DFT/DCT: In PTVF ch. 12.1, 12.3, 12.4; in Textbook
Appendix B.
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Wavelets: In PTVF ch. 13.10; in Textbook
Appendix C
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Karhunen-Loeve: in Textbook Appendix D.
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JPEG: Gregory K. Wallace, The JPEG Still Picture Compression Standard,
CACM, 34, 4, April 1991, pp. 31-44 (hard copy - in reserve)
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MPEG: D. Le Gall, MPEG: a Video Compression Standard for Multimedia
Applications CACM, 34, 4, April 1991, pp. 46-58 (hard copy - in
reserve)
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Fractal compression: M.F. Barnsley and A.D. Sloan, A Better Way to Compress
Images, BYTE, Jan. 1988, pp. 215-223, (hard copy - in reserve)
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Textbook, chapter 9
B. Data mining
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Statistics background: In PTVF pp. 620-621 and ch. 14.4-14.5;
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AI background / Classification
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[HK] chapter 7.3
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Rakesh Agrawal, Sakti Ghosh, Tomasz Imielinski, Bala Iyer and Arun Swami
An
Interval Classifier for Database Mining Applications VLDB Conf.
Proc. Vancouver, BC, Canada, Aug. 1992, pp. 560-573.
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M. Mehta, R. Agrawal and J. Rissanen, `SLIQ: A Fast Scalable Classifier
for Data Mining', Proc. of the Fifth Int'l Conference on Extending
Database Technology, Avignon, France, March 1996 (postscript)
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Data Mining in Databases:
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Data warehouses, OLAP and DataCubes: [HK], ch. 2.
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Data reduction: [HK] chapter 3.4
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Association Rules:
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Cluster analysis: [HK] chapter 8.
RECOMMENDED OPTIONAL READING
Additional, optional citations, that may be useful for your project:
Multimedia indexing
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Spatial access methods:
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N. Beckmann, H.-P. Kriegel, R. Schneider B. Seeger The R*-Tree: an Efficient
and Robust Access Method for Points and Rectangles ACM SIGMOD, May
1990, pp. 322-331 Atlantic City, NJ. (Deferred splitting in R-trees)
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Fractals
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B. Mandelbrot Fractal Geometry of Nature W.H. Freeman, 1977. (The
classic book on fractals).
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Manfred Schroeder, Fractals, Chaos, Power Laws: Minutes From an Infinite
Paradise W.H. Freeman and Company, 1991. (An excellent introduction
to fractals)
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Time sequences
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George E.P. Box, Gwilym M. Jenkins and Gregory C. Reinsel, Time Series
Analysis: Forecasting and Control Prentice Hall, 1994 (3rd Edition).
(Time series forecasting - the classic approach. It also has the algorithms
for linear predictive coding.)
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Andreas S. Weigend and Neil A. Gerschenfeld, Time Series Prediction:
Forecasting the Future and Understanding the Past Addison Wesley, 1994.
(Time series forecasting: the latest approaches)
Data mining
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Tom Mitchell, Machine Learning,
McGraw Hill, 1997.
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John Ross Quinlan C4.5: Programs for Machine Learning Morgan Kaufmann
Publishers Inc., 1993. (Introduction to data mining, with source code)
created 1/13/2002; fixed dead links 2/20/2002 - by christos@cs.cmu.edu