منابع مشابه
Approximate String Matching with Ordered q-Grams
Approximate string matching with k differences is considered. Filtration of the text is a widely adopted technique to reduce the text area processed by dynamic programming. We present sublinear filtration algorithms based on the locations of q-grams in the pattern. Samples of q-grams are drawn from the text at fixed periods, and only if consecutive samples appear in the pattern approximately in...
متن کاملExtending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance
There are many emerging database applications that require accurate selectivity estimation of approximate string matching queries. Edit distance is one of the most commonly used string similarity measures. In this paper, we study the problem of estimating selectivity of string matching with low edit distance. Our framework is based on extending q-grams with wildcards. Based on the concepts of r...
متن کاملImproved Approximate Multiple Pattern String Matching using Consecutive Q Grams of Pattern
String matching is to find all the occurrences of a given pattern in a large text both being sequence of characters drawn from finite alphabet set. This problem is fundamental in computer Science and is the basic need of many applications such as text retrieval, symbol manipulation, computational biology, data mining, and network security. Bit parallelism method is used for increasing the proce...
متن کاملUsing q-grams in a DBMS for Approximate String Processing
String data is ubiquitous, and its management has taken on particular importance in the past few years. Approximate queries are very important on string data. This is due, for example, to the prevalence of typographical errors in data, and multiple conventions for recording attributes such as name and address. Commercial databases do not support approximate string queries directly, and it is a ...
متن کاملTuning BNDM with q-Grams
We develop bit-parallel algorithms for exact string matching. Our algorithms are variations of the BNDM and Shift-Or algorithms. At each alignment the algorithms read a q-gram before testing the state variable. In addition we apply reading a 2-gram in one instruction. Our experiments show that many of the new variations are substantially faster than any previous string matching algorithm on x86...
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ژورنال
عنوان ژورنال: ACM Journal of Experimental Algorithmics
سال: 2007
ISSN: 1084-6654,1084-6654
DOI: 10.1145/1187436.1187438