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<< /S /GoTo /D (section.1) >>
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(Introduction)
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<< /S /GoTo /D (subsection.1.1) >>
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(Background)
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<< /S /GoTo /D (section.2) >>
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(Materials and Methods)
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<< /S /GoTo /D (subsection.2.1) >>
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(Algorithms for Table Recognition and for Table Row Classification)
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<< /S /GoTo /D (subsubsection.2.1.1) >>
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(A Rule-based Algorithm to Detect Tables in Spreadsheets)
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<< /S /GoTo /D (subsubsection.2.1.2) >>
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(The Remove and Conquer Algorithm)
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<< /S /GoTo /D (subsubsection.2.1.3) >>
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(A Machine Learning Algorithm for Table Row Classification)
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<< /S /GoTo /D (subsubsection.2.1.4) >>
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(Row Classes)
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<< /S /GoTo /D (subsubsection.2.1.5) >>
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(Feature Set)
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<< /S /GoTo /D (subsubsection.2.1.6) >>
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(Similarity between rows)
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<< /S /GoTo /D (section.3) >>
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(Results and discussion)
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<< /S /GoTo /D (subsection.3.1) >>
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51 0 obj
(Preprocessing)
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<< /S /GoTo /D (subsection.3.2) >>
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(Main Characteristics of the Datasets used for Testing)
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<< /S /GoTo /D (subsection.3.3) >>
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(Table Classification Experiments)
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<< /S /GoTo /D (subsubsection.3.3.1) >>
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(Results)
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<< /S /GoTo /D (subsubsection.3.3.2) >>
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(Cross Validation)
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<< /S /GoTo /D (subsubsection.3.3.3) >>
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(Confusion matrix)
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<< /S /GoTo /D (subsection.3.4) >>
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75 0 obj
(Rule-based Table Detection Algorithm)
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<< /S /GoTo /D (subsubsection.3.4.1) >>
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79 0 obj
(Experiments with the Remove and Conquer Table Detection Algorithm)
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<< /S /GoTo /D (subsection.3.5) >>
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(Results of the algorithms and environment description)
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<< /S /GoTo /D (section.4) >>
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(Conclusions)
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