@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 {19351,
	title = {Digital Signatures},
	year = {2010},
	month = {2010},
	pages = {192},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Digital Signatures is the first comprehensive account of the theoretical principles and techniques used in the design of provably secure signature schemes. In addition to providing the reader with a better understanding of the security guarantees provided by digital signatures, the book also contains full descriptions and detailed proofs for essentially all known secure signature schemes in the cryptographic literature. A valuable reference for students, professors, and researchers, Digital Signature Schemes can be used for self-study, as a supplement to a course on theoretical cryptography, or as a textbook in a graduate-level seminar.},
	keywords = {Computers / Computer Science, Computers / Hardware / General, Computers / Information Theory, Computers / Networking / Hardware, Computers / Security / General, Technology \& Engineering / Telecommunications},
	isbn = {9780387277110},
	author = {Yung,Moti and Katz, Jonathan}
}
@book {19354,
	title = {Handbook of Signal Processing Systems},
	year = {2010},
	month = {2010},
	pages = {1099},
	publisher = {Springer},
	organization = {Springer},
	abstract = {The Handbook is organized in four parts. The first part motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; the second part discusses architectures for implementing these applications; the third part focuses on compilers and simulation tools; and the fourth part describes models of computation and their associated design tools and methodologies.},
	keywords = {Computers / Information Theory, Technology \& Engineering / Electrical, Technology \& Engineering / Signals \& Signal Processing},
	isbn = {9781441963451},
	author = {Bhattacharyya, Shuvra S. and Deprettere, Ed F.}
}
@book {17768,
	title = {Scalable Uncertainty Management: First International Conference, SUM 2007, Washington, DC, USA, October 10-12, 2007 : Proceedings},
	year = {2007},
	month = {2007/11/14/},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, SUM 2007, held in Washington, DC, USA, in Oktober 2007.The 20 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications. The papers deal with the following topics: uncertainty models, probabilistic logics, fuzzy logics, and annotated logics, inconsistency logics, database algebras and calculi, scalable database systems, spatial, temporal, mobile and multimedia databases, as well as implementations, and applications.},
	keywords = {Artificial intelligence, Computers / Information Theory, Computers / Intelligence (AI) \& Semantics, Electronic books, Mathematics / Logic, Uncertainty (Information theory)},
	isbn = {9783540754077},
	author = {Prade,Henri and V.S. Subrahmanian}
}
@book {18365,
	title = {Advances in Computers: Computational Biology and Bioinformatics},
	year = {2006},
	month = {2006/11/22/},
	publisher = {Academic Press},
	organization = {Academic Press},
	abstract = {The field of bioinformatics and computational biology arose due to the need to apply techniques from computer science, statistics, informatics, and applied mathematics to solve biological problems. Scientists have been trying to study biology at a molecular level using techniques derived from biochemistry, biophysics, and genetics. Progress has greatly accelerated with the discovery of fast and inexpensive automated DNA sequencing techniques. As the genomes of more and more organisms are sequenced and assembled, scientists are discovering many useful facts by tracing the evolution of organisms by measuring changes in their DNA, rather than through physical characteristics alone. This has led to rapid growth in the related fields of phylogenetics, the study of evolutionary relatedness among various groups of organisms, and comparative genomics, the study of the correspondence between genes and other genomic features in different organisms. Comparing the genomes of organisms has allowed researchers to better understand the features and functions of DNA in individual organisms, as well as provide insights into how organisms evolve over time. The first four chapters of this book focus on algorithms for comparing the genomes of different organisms. Possible concrete applications include identifying the basis for genetic diseases and tracking the development and spread of different forms of Avian flu. As researchers begin to better understand the function of DNA, attention has begun shifting towards the actual proteins produced by DNA. The final two chapters explore proteomic techniques for analyzing proteins directly to identify their presence and understand their physical structure.- Written by active PhD researchers in computational biology and bioinformatics},
	keywords = {Bioinformatics, Computational Biology, Computers / Bioinformatics, Computers / Computer Science, Computers / Data Processing, Computers / Information Theory, Computers / Interactive \& Multimedia, Computers / Programming / General, Computers / Reference, Computers / Software Development \& Engineering / General, Mathematics / Applied, Science / Life Sciences / Biology},
	isbn = {9780120121687},
	author = {Zelkowitz, Marvin V and Tseng,Chau-Wen}
}
@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 {18249,
	title = {Multimedia Data Hiding},
	year = {2003},
	month = {2003///},
	publisher = {Springer},
	organization = {Springer},
	abstract = {With the advances of the digital information revolution and the societal changes they have prompted, it has become critical to facilitate secure management of content usage and delivery across communication networks. Data hiding and digital watermarking are promising new technologies for multimedia information protection and rights management. Multimedia Data Hiding addresses the theory, methods, and design of multimedia data hiding and its application to multimedia rights management, information security, and communication. It offers theoretical and practical aspects, and both design and attack problems. Applications discussed include: annotation, tamper detection, copy/access control, fingerprinting, and ownership protection. Countermeasures for attacks on data hiding are discussed, and a chapter assesses attack problems on digital music protection under a unique competitive environment. Topics and features: * Comprehensive and practical coverage of data hiding for various media types, including binary image, grayscale and color images and video, and audio * Provides unique analysis of problems and solutions, such as data hiding in binary signature and generic binary documents, block concealment attacks, and attacks on audio watermarking * Authoritative discussion and analysis of data hiding and effective countermeasures, supported by concrete application examples * Accessible, well-organized progression from the fundamentals to specific approaches to various data-hiding problems This work offers a state-of-the-art presentation covering theoretical, algorithmic, and design topics for digital content/data security protection, and rights management. It is an essential resource for multimedia security researchers and professionals in electrical engineering, computer science, IT, and digital rights management.},
	keywords = {computer security, Computers / Computer Engineering, Computers / Computer Science, Computers / Database Management / General, Computers / Information Technology, Computers / Information Theory, Computers / Interactive \& Multimedia, Computers / Networking / General, Computers / Security / Cryptography, Computers / Security / General, Computers / System Administration / Storage \& Retrieval, Data encryption (Computer science), multimedia systems, Technology \& Engineering / Electrical, Technology \& Engineering / Engineering (General)},
	isbn = {9780387954264},
	author = {M. Wu and Liu,Bede}
}
@book {13691,
	title = {Video Mining},
	year = {2003},
	month = {2003/08/31/},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines.Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data.Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume.Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios{\textquoteright} multimedia asset management systems, and in video-on-demand systems.},
	keywords = {Computers / Client-Server Computing, Computers / Computer Science, Computers / Database Management / Data Mining, Computers / Database Management / General, Computers / Information Technology, Computers / Information Theory, Computers / Intelligence (AI) \& Semantics, Computers / Interactive \& Multimedia, Computers / Networking / General, Computers / Security / Cryptography, data mining, Data mining/ Congresses, Mathematics / General, Medical / General, multimedia systems, Multimedia systems/ Congresses, Technology \& Engineering / Electrical, Technology \& Engineering / Telecommunications},
	isbn = {9781402075490},
	author = {Rosenfeld,Azriel and David Doermann and DeMenthon,Daniel}
}
@book {17339,
	title = {Readings in Information Visualization: Using Vision to Think},
	year = {1999},
	month = {1999/01/25/},
	publisher = {Morgan Kaufmann},
	organization = {Morgan Kaufmann},
	abstract = {This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors{\textquoteright} intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, and other areas.* Full-color reproduction throughout* Author power team - an exciting and timely collaboration between the field{\textquoteright}s pioneering, most-respected names* The only book on Information Visualization with the depth necessary for use as a text or as a reference for the information professional* Text includes the classic source papers as well as a collection of cutting edge work},
	keywords = {Computer Graphics, Computers / Computer Engineering, Computers / Computer Graphics, Computers / Computer Graphics / General, Computers / Computer Science, Computers / General, Computers / Information Technology, Computers / Information Theory, Computers / Intelligence (AI) \& Semantics, Computers / Social Aspects / Human-Computer Interaction, IMAGE PROCESSING, Information display systems, Information Visualization, Psychology / General, Visualization},
	isbn = {9781558605336},
	author = {Card,Stuart K. and Mackinlay,Jock D. and Shneiderman, Ben}
}
