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Books on the topic 'Graph classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 April 2022

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1

Classification and regression trees. New York, N.Y: Chapman & Hall, 1993.

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2

Riesen, Kaspar. Graph classification and clustering based on vector space embedding. New Jersey: World Scientific, 2010.

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3

The classification of minimal graphs with given abelian automorphism group. Providence, R.I., USA: American Mathematical Society, 1985.

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4

Cherlin, Gregory L. The classification of countable homogeneous directed graphs and countable homogeneous n-tournaments. Providence, R.I: American Mathematical Society, 1998.

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5

Argyros, S. A classification of separable Rosenthal compacta and its applications. Warszawa: Institute of Mathematics, Polish Academy of Sciences, 2008.

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6

Argyros, S. A classification of separable Rosenthal compacta and its applications. Warszawa: Institute of Mathematics, Polish Academy of Sciences, 2008.

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7

Hage, Per. Island networks: Communication, kinship, and classification structures in Oceania. Cambridge: Cambridge University Press, 1996.

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8

Ocneanu, Adrian. Quantum symmetry, differential geometry of finite graphs and classification of subfactors. Tokyo, Japan: Dept. of Mathematics, University of Tokyo, 1991.

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9

On the classification of C*-algebras of real rank zero: Inductive limits of matrix algebras over non-Hausdorff graphs. Providence, R.I: American Mathematical Society, 1995.

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10

Su, Hongbing. On the classification of C*, algebras of real rank zero: Inductive limits of matrix algebras over non-Hausdorff graphs. Toronto: [s.n.], 1992.

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11

Cozzens, Margaret B. Biomath in the schools. Providence, R.I: American Mathematical Society, 2011.

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12

Yohannes, Yisehac, and Patrick Webb. Classification and Regression Trees, Cart: A User Manual for Identifying Indicators of Vulnerability to Famine and Chronic Food Insecurity (Microcomputers in Policy Research, 3). Intl Food Policy Research Inst, 1999.

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13

Su, Hongbing. On the classification of C*-algebras of real rank zero : inductive limits of matrix algebras over non-Hausdorff graphs. 1992.

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14

Headrick, Daniel R. When Information Came of Age. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195135978.001.0001.

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Although the Information Age is often described as a new era, a cultural leap springing directly from the invention of modern computers, it is simply the latest step in a long cultural process. Its conceptual roots stretch back to the profound changes that occurred during the Age of Reason and Revolution. When Information Came of Age argues that the key to the present era lies in understanding the systems developed in the eighteenth and early nineteenth centuries to gather, store, transform, display, and communicate information. The book provides a concise and readable survey of the many conceptual developments between 1700 and 1850 and draws connections to leading technologies of today. It documents three breakthroughs in information systems that date to the period: the classification and nomenclature of Linnaeus, the chemical system devised by Lavoisier, and the metric system. It shows how eighteenth-century political arithmeticians and demographers pioneered statistics and graphs as a means for presenting data succinctly and visually. It describes the transformation of cartography from art to science as it incorporated new methods for determining longitude at sea and new data on the measure the arc of the meridian on land. Finally, it looks at the early steps in codifying and transmitting information, including the development of dictionaries, the invention of semaphore telegraphs and naval flag signaling, and the conceptual changes in the use and purpose of postal services. When Information Came of Age shows that like the roots of democracy and industrialization, the foundations of the Information Age were built in the eighteenth and early nineteenth century.
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15

Algebraic And Geometric Aspects Of Integrable Systems And Random Matrices Ams Special Session Algebraic And Geometric Aspects Of Integrable Systems And Random Matrices January 67 2012 Boston Ma. American Mathematical Society, 2013.

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