01237aam a2200181 4500008004500000020001800045082001600063100001900079245007500098260002800173300001500201520069000216650002100906650003100927650004000958650002400998700003301022190312b 2018 ||||| |||| 00| 0 eng d a9780262038393 a005.7bK3M2 aKepner, Jeremy aMathematics of big data: spreadsheets, databases, matrices, and graphs bMIT Pressc2018aLondon axxi, 418p. aMathematics of Big Data presents a sophisticated view of matrices, graphs, databases, and spreadsheets, with many examples to help the discussion. The authors present the topic in three parts-applications and practice, mathematical foundations, and linear systemsâ€”with self-contained chapters to allow for easy reference and browsing. The algorithms are expressed in D4M, with execution possible in Matlab, Octave, and Julia. With exercises at the end of each section, the book can be used as a supplemental or primary text for a class on big data, algorithms, data structures, data analytics, linear algebra, or abstract algebra.
https://mitpress.mit.edu/books/mathematics-big-data aComputer Science aBig data - Graphic methods aGraph Analysis and Machine Learning aVisualizing Algebra aHayden, JananthaneCo author