Ebook: Combinatorial Pattern Matching: 18th Annual Symposium, CPM 2007, London, Canada, July 9-11, 2007. Proceedings
- Genre: Mathematics // Combinatorics
- Tags: Algorithm Analysis and Problem Complexity, Pattern Recognition, Document Preparation and Text Processing, Data Mining and Knowledge Discovery, Computational Biology/Bioinformatics, Data Structures
- Series: Lecture Notes in Computer Science 4580
- Year: 2007
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
The papers contained in this volume were presented at the 18th Annual S- posium on Combinatorial Pattern Matching (CPM 2007) held at the University of Western Ontario, in London, Ontario, Canada from July 9 to 11, 2007. All the papers presented at the conference are original research contri- tions on computational pattern matching and analysis, data compression and compressed text processing, su?x arrays and trees, and computational biology. They were selected from 64 submissions. Each submission was reviewed by at least three reviewers. The committee decided to accept 32 papers. The p- gramme also included three invited talks by Tao Jiang from the University of California, Riverside, USA, S. Muthukrishnan from Rutgers University, USA, and Frances Yao from City University of Hong Kong, Hong Kong. Combinatorial Pattern Matching addresses issues of searching and matching stringsandmorecomplicatedpatternssuchastrees,regularexpressions,graphs, point sets, and arrays.The goal is to derive non-trivial combinatorial properties of such structures and to exploit these properties in order to either achieve superior performance for the corresponding computational problems or pinpoint conditions under which searches cannot be performed e?ciently.
This book constitutes the refereed proceedings of the 18th Annual Symposium on Combinatorial Pattern Matching, CPM 2007, held in London, Canada in July 2007. The 32 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 64 submissions. The papers are organized in topical sections on algorithmic techniques, approximate pattern matching, data compression, computational biology, pattern analysis, suffix arrays and trees, as well as algorithmic techniques.