Carnegie Mellon University
10-603/15-826 Multimedia Databases and Data Mining
Spring 2002 - C. Faloutsos
Final Exam study guide
Details
-
All aids allowed, except internet connection
-
The exam is comprehensive, but most of the emphasis will be on the
material after the midterm
-
Time and place: Tue. May 14 08:30a.m.-11:30a.m. WEH 5403
-
Office hours:
-
We 5/8, 12noon-2pm
-
Th 5/9, 2-4pm
-
or by appointment
-
Reading list: Identical to the original one at http://www-2.cs.cmu.edu/~christos/courses/826.S02/readinglist.html
Repeated
below, for your convenience
-------------------Reading list - identical to the original one ----------------------
Required text
-
[Textbook] C. Faloutsos Searching Multimedia Databases
by Content, Kluwer Academic Press, 1996. Evaluation
draft (gzipped - internal to CMU).
Recommended text
A. Multimedia Indexing
-
Transparencies of lectures in
ppt
-
Primary key access methods
-
Secondary key and spatial access methods
-
A. Guttman R-Trees:
a Dynamic Index Structure for Spatial Searching, Proc. ACM SIGMOD,
June 1984, pp. 47-57, Boston, Mass.
-
J. Orenstein, Spatial
Query Processing in an Object-Oriented Database System, Proc. ACM
SIGMOD, May, 1986, pp. 326-336, Washington D.C..
-
Textbook, chapters 4 and 5.
-
Fractals
-
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)
-
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)
-
Text and LSI
-
Textbook, chapter 6
-
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)
-
SVD: In PTVF ch. 2.6; Textbook Appendix
D
-
Time sequences
-
DSP and image databases
-
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)
-
Journal
of Intelligent Inf. Systems, 3, 3/4, pp. 231-262, 1994 An earlier,
more technical version of the IEEE Computer '95 paper.
-
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
-
DFT/DCT: In PTVF ch. 12.1, 12.3, 12.4; in Textbook
Appendix B.
-
Wavelets: In PTVF ch. 13.10; in Textbook
Appendix C
-
Karhunen-Loeve: in Textbook Appendix D.
-
JPEG: Gregory K. Wallace, The JPEG Still Picture Compression Standard,
CACM, 34, 4, April 1991, pp. 31-44 (hard copy - in reserve)
-
MPEG: D. Le Gall, MPEG: a Video Compression Standard for Multimedia
Applications CACM, 34, 4, April 1991, pp. 46-58 (hard copy - in
reserve)
-
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)
-
Textbook, chapter 9
B. Data mining
-
Statistics background: In PTVF pp. 620-621 and ch. 14.4-14.5;
-
AI background / Classification
-
[HK] chapter 7.3
-
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.
-
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)
-
Data Mining in Databases:
-
Data warehouses, OLAP and DataCubes: [HK], ch. 2.
-
Data reduction: [HK] chapter 3.4
-
Association Rules:
-
Cluster analysis: [HK] chapter 8.
Created 5/1/2002 - by christos@cs.cmu.edu