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020			_a9780387686288 _99780387686288
024	7		_a10.1007/9780387686288 _2doi
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040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA76.9.I52
100	1		_aInselberg, Alfred. _eautor _9304555
245	1	0	_aParallel Coordinates : _bVisual Multidimensional Geometry and Its Applications / _cby Alfred Inselberg.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_axxvI, 554 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aGeometry Background -- ? FT-1 The Plane with Parallel Coordinates -- Multidimensional Lines -- Planes, p-Flats, and Hyperplanes -- ** Envelopes -- Curves -- Proximity of Lines, Planes, and Flats -- Hypersurfaces in ?N -- ? FT Data Mining and Other Applications -- Recent Results -- Solutions to Selected Exercises.
520			_aThis book is about visualization, systematically incorporating the fantastic human pattern recognition into the problem-solving process, and focusing on parallel coordinates. The barrier, imposed by our three-dimensional habitation and perceptual experience, has been breached by this innovative and versatile methodology. The accurate visualization of multidimensional problems and multivariate data unlocks insights into the role of dimensionality. Beginning with an introductory chapter on geometry, the mathematical foundations are intuitively developed, interlaced with applications to data mining, information visualization, computer vision, geometric modeling, collision avoidance for air traffic and process-control. Many results appear for the first time. Multidimensional lines, planes, proximities, surfaces and their properties are unambiguously recognized (i.e. convexity viewed in any dimension) enabling powerful construction algorithms (for intersections, interior-points, linear-programming). Key features of Parallel Coordinates: * An easy-to-read self-contained chapter on data mining and information visualization * Numerous exercises with solutions, from basic to advanced topics, course projects and research directions * "Fast Track" markers throughout provide a quick grasp of essential material. * Extensive bibliography, index, and a chapter containing a collection of recent results (i.e. visualizing large networks, complex-valued functions and more) Parallel Coordinates requires only an elementary knowledge of linear algebra. It is well-suited for self-study and as a textbook (or companion) for courses on information visualization, data mining, mathematics, statistics, computer science, engineering, finance, management, manufacturing, in scientific disciplines and even the arts.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780387215075
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-68628-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c279947 _d279947