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Titlebook: Combinatorial Pattern Matching; 20th Annual Symposiu Gregory Kucherov,Esko Ukkonen Conference proceedings 2009 Springer-Verlag Berlin Heide

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Online Approximate Matching with Non-local Distances,lassified as being local. A distance function is said to be local if for a pattern . of length . and any substring .[.,. + . − 1] of a text ., the distance between . and .[.,. + . − 1] is equal to ...(.[.], .[. + . − 1]), where . is any distance function between individual characters. We extend this
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Approximate Matching for Run-Length Encoded Strings Is ,-Hard,oximately matching two . strings. Specifically, we show that the wildcard matching and .-mismatches problems for . strings are .-hard. For two . strings of . and . runs, such a result implies that it is very unlikely to devise an .(.)-time algorithm for either problem. We then propose an .(. + .log.
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Modeling and Algorithmic Challenges in Online Social Networks, to large online social networks. From the modeling perspective, we raise the question of whether there is a generative model for network evolution. The availability of time-stamped data makes it possible to study this question at an extremely fine granularity. We exhibit a simple, natural model tha
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