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Page Blocks Classification Data Set

Below are papers that cite this data set, with context shown. Papers were automatically harvested and associated with this data set, in collaboration with Rexa.info.

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Steven Eschrich and Nitesh V. Chawla and Lawrence O. Hall. Generalization Methods in Bioinformatics. BIOKDD. 2002.

from the UCI Machine Learning Repository [3]. The datasets chosen were page block pendigits, satimage and letter. The letter dataset was the largest with 20,000 examples. Atenfold cross-validation was performed for each combination of subsample size and


Adil M. Bagirov and Julien Ugon. An algorithm for computation of piecewise linear function separating two sets. CIAO, School of Information Technology and Mathematical Sciences, The University of Ballarat.

through successive LP, Journal of Optimization Theory and Applications, 112(2), 265-293. 20 Table 3: Results of numerical experiments with Pen-based recognition of handwritten and Page blocks datasets Training Test |I| |J i | a 2c a mc a 2c a mc fct eval. DG. eval. Pen-based recognition of handwritten dataset 1 1 97.27 96.74 96.43 92.37 1597 1146 2 1 99.31 99.44 98.33 96.14 2607 1852 3 1 99.79


C. Titus Brown and Harry W. Bullen and Sean P. Kelly and Robert K. Xiao and Steven G. Satterfield and John G. Hagedorn and Judith E. Devaney. Visualization and Data Mining in an 3D Immersive Environment: Summer Project 2003.

from Italy. Wines from three different types of grapes are included. There are levels of 13 chemicals provided for each of 178 instances. The target attribute is the type of grape. Figure 4.8: Wine data set in museum environment. 33 4.9 Page Block The Block data set was processed by Harry Bullen. This data set concerns to document analysis. Each instance describes a block of a page in a document. Each


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