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Efficient Text Pattern Matching - N500001

Title:	Efektivní vyhledávání v textech
Guaranteed by:	CTU in Prague, Faculty of Information Technology (500)
Faculty:	University of Chemistry and Technology, Prague
Actual:	from 2019 to 2020
Semester:	winter
Points:	winter s.:4
E-Credits:	winter s.:4
Examination process:	winter s.:
Hours per week, examination:	winter s.:2/1, C+Ex [HT]
Capacity:	unknown / unknown (unknown)
Min. number of students:	unlimited
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Level:
Is provided by:	M500001

Guarantor:	Holub Jan prof. Ing. Ph.D.
Is interchangeable with:	M500001

Examination dates Schedule

Annotation -

Students get knowledge of efficient algorithms for text pattern matching. They learn to use so called succinct data structures that are efficient in both access time and memory complexity. They will be able to use the knowledge in design of applications that utilize pattern matching.

Last update: Jirát Jiří (09.01.2014)

Literature -

R:W.F. Smyth: ''Computing Patterns in Strings'', Pearson Addison Wesley (UK), 2003, 423 pp. ISBN-10: 0201398397

R:M.Crochemore, W. Rytter: ''Jewels of Stringology''. World Scientific Publishing Company, 2003. ISBN-10: 9810248970.

R:G.Navarro, M. Raffinot: ''Flexible Pattern Matching in Strings''. Cambridge University Press, 2008. ISBN-10: 0521039932.

R:M.Crochemore, C. Hancart, T. Lecroq: ''Algorithms on Strings''. Cambridge University Press, 2007. ISBN-10: 0521848997

Last update: Jirát Jiří (09.01.2014)

Syllabus -

1. Introduction, basic definitions, border array.

2. Text full index: Suffix array.

3. Text full index: Suffix tree, LCP construction.

4. Text full index: Factor, suffix automata, on-line construction.

5. Exact pattern matching algorithms.

6. FFT in pattern matching.

7. Succinct data structure: rank & select.

8. Succinct data structure: wavelet tree.

9. FM-Index.

10. Dictionary representation, spell checking.

11. Approximate pattern matching.

12. Pattern matching in bioinformatics and musicology.

13. Pattern matching in bioinformatics and musicology.

Last update: Jirát Jiří (09.01.2014)

Learning resources -

https://edux.fit.cvut.cz/courses/MI-EVY/

(login necessary)

Last update: Jirát Jiří (09.01.2014)

Learning outcomes -

Students will be able to:

Understand pattern matching as a key task in most applications.

Understand efficient algorithms and data structures for pattern matching (not only in information processing, but also in other fields like security - intrusion detection, virus scans).

Have an extensive overview of such algorithms and data structures.

Last update: Jirát Jiří (31.01.2014)

Registration requirements -

Knowledge of finite automata and complexity.

Last update: Jirát Jiří (31.01.2014)

Teaching methods
	Activity	Credits	Hours
	Účast na přednáškách	1	28
	Práce na individuálním projektu	2.2	61
	Účast na seminářích	0.5	14
		4 / 4	103 / 112