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ACM Classification Can Be Used for Representing Research Organizations
September 2007
mnp07
We present a method for representation a Computer Science Research organization by using the ACM Computing Subjects classification tree. The representation comprises head subjects of the upper level as well as their gaps and offshoots found by parsimoniously mapping main subject clusters, extracted from the data on similarity ACM research topics according to the working in the organization, onto the ACM classification. A robust method for possibly overlapping clustering is described. A real-world example of the representation is provided.
In proceedings
B. Mirkin, Susana Nascimento, Luís Moniz Pereira
DIMACS Technical Report 2007-13
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DIMACS
Rutgers University, New Jersey, U.S.A
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B. Mirkin and Susana Nascimento and Luís Moniz Pereira, ACM Classification Can Be Used for Representing Research Organizations, , DIMACS Technical Report 2007-13, DIMACS, Rutgers University, New Jersey, U.S.A, September 2007.
B. Mirkin, <a href="/people/members/view.php?code=4d69262d034cb8174d039bea8d970836" class="author">Susana Nascimento</a> and <a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a>, <b>ACM Classification Can Be Used for Representing Research Organizations</b>, <u>DIMACS Technical Report 2007-13</u>, DIMACS, Rutgers University, New Jersey, U.S.A, September 2007.
@inproceedings {mnp07, author = {B. Mirkin and Susana Nascimento and Lu\'{\i}s Moniz Pereira}, title = {ACM Classification Can Be Used for Representing Research Organizations}, booktitle = {DIMACS Technical Report 2007-13}, publisher = {DIMACS}, address = {Rutgers University, New Jersey, U.S.A}, abstract = {We present a method for representation a Computer Science Research organization by using the ACM Computing Subjects classification tree. The representation comprises head subjects of the upper level as well as their gaps and offshoots found by parsimoniously mapping main subject clusters, extracted from the data on similarity ACM research topics according to the working in the organization, onto the ACM classification. A robust method for possibly overlapping clustering is described. A real-world example of the representation is provided.}, month = {September}, year = {2007}, }
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