@book {16975,
	title = {Analyzing Social Media Networks with NodeXL},
	year = {2010},
	month = {2010/08/27/},
	publisher = {Morgan Kaufmann},
	organization = {Morgan Kaufmann},
	abstract = {"Analyzing Social Media Networks with NodeXL provides a much needed resource for the social media research community, as it describes network theory, provides compelling examples using data sources like Twitter and Flickr, and highlights how to use a free sophisticated tool for analysis. This is the perfect book for anyone trying to analyze the behavior of online social networks and beyond." ---Adam Perer, Research Scientist, IBM Research  "This book provides a basic introduction to social network analysis, followed by practical instruction and examples on gathering data from online sources, importing into Excel, and then analyzing the data through Excel. The book will be important for promoting research in the area for those in information science, sociology, cultural studies, virtual community, and e-commerce."---Caroline Haythornthwaite, PhD, Professor, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign  Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft{\textquoteright}s NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools - NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world.},
	keywords = {Business \& Economics / Marketing / Research, Computers / Computer Science, Computers / Data Processing, Computers / Database Management / Data Mining, Computers / General, Computers / Information Theory, Computers / Interactive \& Multimedia, Computers / Social Aspects / General, Computers / Social Aspects / Human-Computer Interaction, Computers / User Interfaces, data mining, Data mining - Computer programs, Data mining/ Computer programs, Information Visualization, Information visualization - Computer programs, Information visualization/ Computer programs, NodeXL, online social networks, Social Science / General, Social Science / Reference, Social Science / Sociology / General, Technology \& Engineering / General, Technology \& Engineering / Social Aspects, Webometrics, Webometrics - Computer programs, Webometrics/ Computer programs},
	isbn = {9780123822291},
	author = {Hansen,Derek and Shneiderman, Ben and Smith,Marc A.}
}
@book {19357,
	title = {Analyzing Social Media Networks with NodeXL: Insights from a Connected World},
	year = {2010},
	month = {2010},
	pages = {302},
	publisher = {Morgan Kaufmann},
	organization = {Morgan Kaufmann},
	abstract = {Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft{\textquoteright}s NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world. In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up to provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA. To learn more about Analyzing Social Media Networks and NodeXL, visit the companion site at www.mkp.com/nodexl*Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA  *Demonstrates how visual analytics research can be applied to SNA tools for the mass market  *Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis},
	keywords = {Computers / Computer Science, Computers / General, Computers / Social Aspects / General, Computers / Social Aspects / Human-Computer Interaction, Computers / User Interfaces},
	isbn = {9780123822307},
	author = {Hansen,Derek and Shneiderman, Ben and Smith,Marc A.}
}
@book {16863,
	title = {Foundations of Multidimensional And Metric Data Structures},
	year = {2006},
	month = {2006/08/08/},
	publisher = {Morgan Kaufmann},
	organization = {Morgan Kaufmann},
	abstract = {The field of multidimensional data structures is large and growing very quickly. Here, for the first time, is a thorough treatment of multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. The book includes a thorough introduction; a comprehensive survey to spatial and multidimensional data structures and algorithms; and implementation details for the most useful data structures. Along with the hundreds of worked exercises and hundreds of illustrations, the result is an excellent and valuable reference tool for professionals in many areas, including computer graphics, databases, geographic information systems (GIS), game programming, image processing, pattern recognition, solid modeling, similarity retrieval, and VLSI design. Award Winner in 2006 "Best Book" competition in Professional and Scholarly Publishing from the Association of American Publishers. Morgan Kaufmann would like to congratulate Hanan Samet on receiving the UCGIS 2009 Research Award! Read the announcement here: http://www.ucgis.org/summer2009/researchaward.htm * First comprehensive work on multidimensional data structures available, a thorough and authoritative treatment. * An algorithmic rather than mathematical approach, with a liberal use of examples that allows the readers to easily see the possible implementation and use. * Each section includes a large number of exercises and solutions to self-test and confirm the reader{\textquoteright}s understanding and suggest future directions. * Written by a well-known authority in the area of spatial data structures who has made many significant contributions to the field. The author{\textquoteright}s website includes: Spatial Index Demos},
	keywords = {Computer algorithms, Computers / Computer Graphics, Computers / Computer Vision \& Pattern Recognition, Computers / Data Modeling \& Design, Computers / Data Processing, Computers / Database Management / General, Computers / Programming / General, Computers / User Interfaces, Data structures (Computer science), Science / Physics / General},
	isbn = {9780123694461},
	author = {Samet, Hanan}
}
@book {12621,
	title = {Unconstrained face recognition},
	year = {2006},
	month = {2006///},
	publisher = {Springer Science \& Business},
	organization = {Springer Science \& Business},
	abstract = {Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.},
	keywords = {Computer science, Computer vision, Computers / Computer Graphics, Computers / Computer Science, Computers / Computer Vision \& Pattern Recognition, Computers / General, Computers / Image Processing, Computers / Information Technology, Computers / Information Theory, Computers / Interactive \& Multimedia, Computers / Security / Cryptography, Computers / User Interfaces, Data encryption (Computer science), Data structures (Computer science), Electronic books, Human face recognition (Computer science), IMAGE PROCESSING, Image processing - Digital techniques, multimedia systems, Optical pattern recognition, Science / Life Sciences / Biology},
	isbn = {9780387264073},
	author = {Zhou,S. Kevin and Chellapa, Rama and Zhao,Wenyi}
}
@book {17406,
	title = {The craft of information visualization: readings and reflections},
	year = {2003},
	month = {2003///},
	publisher = {Morgan Kaufmann},
	organization = {Morgan Kaufmann},
	abstract = {Since the beginning of the computer age, researchers from many disciplines have sought to facilitate people{\textquoteright}s use of computers and to provide ways for scientists to make sense of the immense quantities of data coming out of them. One gainful result of these efforts has been the field of information visualization, whose technology is increasingly applied in scientific research, digital libraries, data mining, financial data analysis, market studies, manufacturing production control, and data discovery.This book collects 38 of the key papers on information visualization from a leading and prominent research lab, the University of Maryland{\textquoteright}s Human-Computer Interaction Lab (HCIL). Celebrating HCIL{\textquoteright}s 20th anniversary, this book presents a coherent body of work from a respected community that has had many success stories with its research and commercial spin-offs. Each chapter contains an introduction specifically written for this volume by two leading HCI researchers, to describe the connections among those papers and reveal HCIL{\textquoteright}s individual approach to developing innovations.*Presents key ideas, novel interfaces, and major applications of information visualization tools, embedded in inspirational prototypes.*Techniques can be widely applied in scientific research, digital libraries, data mining, financial data analysis, business market studies, manufacturing production control, drug discovery, and genomic studies.*Provides an "insider" view to the scientific process and evolution of innovation, as told by the researchers themselves.*This work comes from the prominent and high profile University of Maryland{\textquoteright}s Human Computer Interaction Lab},
	keywords = {Computers / Computer Graphics, Computers / Computer Science, Computers / Digital Media / Desktop Publishing, Computers / General, Computers / Social Aspects / Human-Computer Interaction, Computers / User Interfaces, Human-computer interaction, Information Visualization, Science / General, User-centered system design},
	isbn = {9781558609150},
	author = {Bederson, Benjamin B. and Shneiderman, Ben}
}
