Matches in SemOpenAlex for { <https://semopenalex.org/work/W1566647584> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W1566647584 endingPage "151" @default.
- W1566647584 startingPage "145" @default.
- W1566647584 abstract "This thesis considers the problem of mining patterns in strings. Informally, this is the problem of extracting information (patterns) that characterizes parts of, or even the complete, string. The thesis describes a high performance hardware for string searching, which together with genetic programming, forms the basis for the thesis’ pattern mining algorithms.This work considers two different pattern mining problems and develops several different algorithms to solve different variants of these problems. Common to all algorithms is that they use genetic programming to evolve patterns that can be evaluated by the special purpose search hardware.The first pattern mining problem considered is unsupervised mining of prediction rules in discretized time series. Such prediction rules describe relations between consecutive patterns in the discretized time series; that is, the prediction rules state that if the first pattern occurs, the second pattern will, with high probability, follow within a fixed number of symbols. The goal is to automatically extract prediction rules that are accurate, comprehensible, and interesting.The second pattern mining problem considered is supervised learning of classifiers that predict whether or not a given string belongs to a specific class of strings. This binary classification problem is very general, but this thesis focuses on two recent problems from molecular biology: i) predicting the efficacy of short interfering RNAs and antisense oligonucleotides; and ii) predicting whether or not a given DNA sequence is a non-coding RNA gene. The thesis describes a genetic programming based mining algorithm that produce state-of-the-art classifiers on both problems." @default.
- W1566647584 created "2016-06-24" @default.
- W1566647584 creator A5049248639 @default.
- W1566647584 creator A5081217777 @default.
- W1566647584 date "2003-01-01" @default.
- W1566647584 modified "2023-09-26" @default.
- W1566647584 title "Unsupervised temporal rule mining with genetic programming and specialized hardware" @default.
- W1566647584 cites W135311109 @default.
- W1566647584 cites W151863654 @default.
- W1566647584 cites W1547326327 @default.
- W1566647584 cites W1556507321 @default.
- W1566647584 cites W1576818901 @default.
- W1566647584 cites W1591825348 @default.
- W1566647584 cites W1602306524 @default.
- W1566647584 cites W1891078430 @default.
- W1566647584 cites W1959085111 @default.
- W1566647584 cites W1995003166 @default.
- W1566647584 cites W2016889710 @default.
- W1566647584 cites W2124986935 @default.
- W1566647584 cites W2145227912 @default.
- W1566647584 cites W2156026066 @default.
- W1566647584 cites W2158454296 @default.
- W1566647584 cites W30647502 @default.
- W1566647584 cites W192294776 @default.
- W1566647584 cites W2751832509 @default.
- W1566647584 hasPublicationYear "2003" @default.
- W1566647584 type Work @default.
- W1566647584 sameAs 1566647584 @default.
- W1566647584 citedByCount "9" @default.
- W1566647584 countsByYear W15666475842017 @default.
- W1566647584 countsByYear W15666475842019 @default.
- W1566647584 crossrefType "journal-article" @default.
- W1566647584 hasAuthorship W1566647584A5049248639 @default.
- W1566647584 hasAuthorship W1566647584A5081217777 @default.
- W1566647584 hasConcept C110332635 @default.
- W1566647584 hasConcept C119857082 @default.
- W1566647584 hasConcept C124101348 @default.
- W1566647584 hasConcept C154945302 @default.
- W1566647584 hasConcept C157486923 @default.
- W1566647584 hasConcept C33923547 @default.
- W1566647584 hasConcept C37914503 @default.
- W1566647584 hasConcept C41008148 @default.
- W1566647584 hasConceptScore W1566647584C110332635 @default.
- W1566647584 hasConceptScore W1566647584C119857082 @default.
- W1566647584 hasConceptScore W1566647584C124101348 @default.
- W1566647584 hasConceptScore W1566647584C154945302 @default.
- W1566647584 hasConceptScore W1566647584C157486923 @default.
- W1566647584 hasConceptScore W1566647584C33923547 @default.
- W1566647584 hasConceptScore W1566647584C37914503 @default.
- W1566647584 hasConceptScore W1566647584C41008148 @default.
- W1566647584 hasLocation W15666475841 @default.
- W1566647584 hasOpenAccess W1566647584 @default.
- W1566647584 hasPrimaryLocation W15666475841 @default.
- W1566647584 hasRelatedWork W1507846830 @default.
- W1566647584 hasRelatedWork W151863654 @default.
- W1566647584 hasRelatedWork W1591825348 @default.
- W1566647584 hasRelatedWork W1840280125 @default.
- W1566647584 hasRelatedWork W1959085111 @default.
- W1566647584 hasRelatedWork W1981486868 @default.
- W1566647584 hasRelatedWork W1989037929 @default.
- W1566647584 hasRelatedWork W1995003166 @default.
- W1566647584 hasRelatedWork W2022189843 @default.
- W1566647584 hasRelatedWork W2051122730 @default.
- W1566647584 hasRelatedWork W2077551170 @default.
- W1566647584 hasRelatedWork W2079748062 @default.
- W1566647584 hasRelatedWork W2124986935 @default.
- W1566647584 hasRelatedWork W2149558335 @default.
- W1566647584 hasRelatedWork W2156026066 @default.
- W1566647584 hasRelatedWork W2158454296 @default.
- W1566647584 hasRelatedWork W2161484642 @default.
- W1566647584 hasRelatedWork W2490143098 @default.
- W1566647584 hasRelatedWork W30647502 @default.
- W1566647584 hasRelatedWork W627888170 @default.
- W1566647584 isParatext "false" @default.
- W1566647584 isRetracted "false" @default.
- W1566647584 magId "1566647584" @default.
- W1566647584 workType "article" @default.