Hi,↵
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For this problem I have a set S with initially 0 strings. ↵
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There are three types of queries:↵
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1. Add a string to set S with id = queryId.↵
2. Remove the string from set S with id = removeId.↵
3. Read a string M and print all strings in set S that have M as substring.↵
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Let N be the size of S.↵
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How would I solve this efficiently? I hope to reach a complexity of O((length of search string) + N) for query 3 and O(length of string) for queries 1 and 2. Is this possible, with for example a suffix tree?↵
↵
I would like to use this for a fast search engine for a (big) data set that is changing dynamically.
↵
For this problem I have a set S with initially 0 strings. ↵
↵
There are three types of queries:↵
↵
1. Add a string to set S with id = queryId.↵
2. Remove the string from set S with id = removeId.↵
3. Read a string M and print all strings in set S that have M as substring.↵
↵
Let N be the size of S.↵
↵
How would I solve this efficiently? I hope to reach a complexity of O((length of search string) + N) for query 3 and O(length of string) for queries 1 and 2. Is this possible, with for example a suffix tree?↵
↵
I would like to use this for a fast search engine for a (big) data set that is changing dynamically.