Text analytics consist of the statistics about a text element, which includes the word count, the word histogram, and the word frequency histogram. Most text documents of value are related to other—sometimes many other—documents, and so analytics describing the relative frequency of terms in a document compared to its peers are important for defining key words (tagging, labeling, indexing), search-responsive terms (query terms), and compressed versions of the documents (key words, summary, etc.).This clearly written text explains the functional applications of search, translation, optimization, and learning with regard to text analytics. Generation of analytics is aided by a hybrid, ensemble, or other combinatorial approach in which two or more effective analytic processes are used simultaneously, and their outputs combined to form a better “consensus”. Additional value to the preservation of the information is provided through these methods. Also, since they encompass capabilities of two or more knowledge-generating systems, they can create a “superset” of access points to the data generated. The book also describes the role of functional approaches in the testing and configuration of these systems.
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. - Provides comprehensive and systematic coverage of machine learning-based data analysis tasks - Enables rapid progress towards competency in data analysis techniques - Gives exhaustive and widely applicable patterns for use by data scientists - Covers hybrid or 'meta' approaches, along with general analytics - Lays out information and practical guidance on data analysis for practitioners working across all sectors
Musical scores – like literature, poetry, and technical manuals – are documents. The central tenet of this book is that musical composition in the digital age is a form of document engineering. In essence, music shares with other forms of creative content generation – from poetry to prose, and from science to science fiction – the need for structure, flow, and sources for creativity. Musical composition is considered in this book as the creative process of engineering musical documents with regards to its arrangement, form, texture, and instrumentation, etc. This "document" then instructs a performance or the creation of an alternative document, such as a recording. In this book, the arrangement of phrases, patterns, and structures seen in music will be illustrated to give new composers a starting point to begin planning and making decisions about their own compositions. The book will also guide those who need assistance in completing a piece. While this is a book about musical composition, it is not meant to be a manual on music theory. Instead, the book keeps its focus on the structural elements of a composition. Its aim is to give the audience a structural road map for composing; whether they are starting a piece from the first note, having a melody in mind already, or need help overcoming a creative hurdle. The book examines compositions that clearly define a form or technique. Among the key compositional elements are: Form, Phrase, Period, and Expression in Composition Rhythm/Motive Melody and Harmony Tonal Center Mode Mixture and Modulation Accompaniment/Instrumentation/Orchestration Composition Techniques and Notation Targeted examples cover all stages of writing a piece, helping to build the reader’s composition from the first note into a complete work without promoting a style or harmonic practice. Each chapter contains a sidebar addressing helping the composer to add creative sources for the music making process. Finally, the book concludes with a chapter on creativity in terms of how composed music can affect our lives and even our fairy tales.
This book presents covert, semi-covert and overt techniques for communication over printed media by modifying images, texts or barcodes within the document. Basic and advanced techniques are discussed aimed to modulate information into images, texts and barcodes. Conveying information over printed media can be useful for content authentication, author copyright, information and piracy product deterrent, side information for marketing, among other applications. Practical issues are discussed and experiments are provided to evaluate competitive approaches for hard-copy communication. This book is a useful resource for researchers, practitioners and graduate students in the field of hard-copy communication by providing the fundamentals, basic and advanced techniques as examples of approaches to address the hard-copy media distortions and particularities.
The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower the intelligent system architect to take advantage of this opportunity. This book explains how to design and build intelligent systems that are optimized for changing system requirements (adaptability), optimized for changing system input (robustness), and optimized for one or more other important system parameters (e.g., accuracy, efficiency, cost). It provides an overview of traditional parallel processing which is shown to consist primarily of task and component parallelism; before introducing meta-algorithmic parallelism which is based on combining two or more algorithms, classification engines or other systems. Key features: Explains the entire roadmap for the design, testing, development, refinement, deployment and statistics-driven optimization of building systems for intelligence Offers an accessible yet thorough overview of machine intelligence, in addition to having a strong image processing focus Contains design patterns for parallelism, especially meta-algorithmic parallelism – simply conveyed, reusable and proven effective that can be readily included in the toolbox of experts in analytics, system architecture, big data, security and many other science and engineering disciplines Connects algorithms and analytics to parallelism, thereby illustrating a new way of designing intelligent systems compatible with the tremendous changes in the computing world over the past decade Discusses application of the approaches to a wide number of fields; primarily, document understanding, image understanding, biometrics and security printing Companion website contains sample code and data sets
If you’re a security or network professional, you already know the “do’s and don’ts”: run AV software and firewalls, lock down your systems, use encryption, watch network traffic, follow best practices, hire expensive consultants . . . but it isn’t working. You’re at greater risk than ever, and even the world’s most security-focused organizations are being victimized by massive attacks. In Thinking Security, author Steven M. Bellovin provides a new way to think about security. As one of the world’s most respected security experts, Bellovin helps you gain new clarity about what you’re doing and why you’re doing it. He helps you understand security as a systems problem, including the role of the all-important human element, and shows you how to match your countermeasures to actual threats. You’ll learn how to move beyond last year’s checklists at a time when technology is changing so rapidly. You’ll also understand how to design security architectures that don’t just prevent attacks wherever possible, but also deal with the consequences of failures. And, within the context of your coherent architecture, you’ll learn how to decide when to invest in a new security product and when not to. Bellovin, co-author of the best-selling Firewalls and Internet Security, caught his first hackers in 1971. Drawing on his deep experience, he shares actionable, up-to-date guidance on issues ranging from SSO and federated authentication to BYOD, virtualization, and cloud security. Perfect security is impossible. Nevertheless, it’s possible to build and operate security systems far more effectively. Thinking Security will help you do just that.
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. - Provides comprehensive and systematic coverage of machine learning-based data analysis tasks - Enables rapid progress towards competency in data analysis techniques - Gives exhaustive and widely applicable patterns for use by data scientists - Covers hybrid or 'meta' approaches, along with general analytics - Lays out information and practical guidance on data analysis for practitioners working across all sectors
The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower the intelligent system architect to take advantage of this opportunity. This book explains how to design and build intelligent systems that are optimized for changing system requirements (adaptability), optimized for changing system input (robustness), and optimized for one or more other important system parameters (e.g., accuracy, efficiency, cost). It provides an overview of traditional parallel processing which is shown to consist primarily of task and component parallelism; before introducing meta-algorithmic parallelism which is based on combining two or more algorithms, classification engines or other systems. Key features: Explains the entire roadmap for the design, testing, development, refinement, deployment and statistics-driven optimization of building systems for intelligence Offers an accessible yet thorough overview of machine intelligence, in addition to having a strong image processing focus Contains design patterns for parallelism, especially meta-algorithmic parallelism – simply conveyed, reusable and proven effective that can be readily included in the toolbox of experts in analytics, system architecture, big data, security and many other science and engineering disciplines Connects algorithms and analytics to parallelism, thereby illustrating a new way of designing intelligent systems compatible with the tremendous changes in the computing world over the past decade Discusses application of the approaches to a wide number of fields; primarily, document understanding, image understanding, biometrics and security printing Companion website contains sample code and data sets
Text analytics consist of the statistics about a text element, which includes the word count, the word histogram, and the word frequency histogram. Most text documents of value are related to other—sometimes many other—documents, and so analytics describing the relative frequency of terms in a document compared to its peers are important for defining key words (tagging, labeling, indexing), search-responsive terms (query terms), and compressed versions of the documents (key words, summary, etc.).This clearly written text explains the functional applications of search, translation, optimization, and learning with regard to text analytics. Generation of analytics is aided by a hybrid, ensemble, or other combinatorial approach in which two or more effective analytic processes are used simultaneously, and their outputs combined to form a better “consensus”. Additional value to the preservation of the information is provided through these methods. Also, since they encompass capabilities of two or more knowledge-generating systems, they can create a “superset” of access points to the data generated. The book also describes the role of functional approaches in the testing and configuration of these systems.
Musical scores – like literature, poetry, and technical manuals – are documents. The central tenet of this book is that musical composition in the digital age is a form of document engineering. In essence, music shares with other forms of creative content generation – from poetry to prose, and from science to science fiction – the need for structure, flow, and sources for creativity. Musical composition is considered in this book as the creative process of engineering musical documents with regards to its arrangement, form, texture, and instrumentation, etc. This "document" then instructs a performance or the creation of an alternative document, such as a recording. In this book, the arrangement of phrases, patterns, and structures seen in music will be illustrated to give new composers a starting point to begin planning and making decisions about their own compositions. The book will also guide those who need assistance in completing a piece. While this is a book about musical composition, it is not meant to be a manual on music theory. Instead, the book keeps its focus on the structural elements of a composition. Its aim is to give the audience a structural road map for composing; whether they are starting a piece from the first note, having a melody in mind already, or need help overcoming a creative hurdle. The book examines compositions that clearly define a form or technique. Among the key compositional elements are: Form, Phrase, Period, and Expression in Composition Rhythm/Motive Melody and Harmony Tonal Center Mode Mixture and Modulation Accompaniment/Instrumentation/Orchestration Composition Techniques and Notation Targeted examples cover all stages of writing a piece, helping to build the reader’s composition from the first note into a complete work without promoting a style or harmonic practice. Each chapter contains a sidebar addressing helping the composer to add creative sources for the music making process. Finally, the book concludes with a chapter on creativity in terms of how composed music can affect our lives and even our fairy tales.
This book presents covert, semi-covert and overt techniques for communication over printed media by modifying images, texts or barcodes within the document. Basic and advanced techniques are discussed aimed to modulate information into images, texts and barcodes. Conveying information over printed media can be useful for content authentication, author copyright, information and piracy product deterrent, side information for marketing, among other applications. Practical issues are discussed and experiments are provided to evaluate competitive approaches for hard-copy communication. This book is a useful resource for researchers, practitioners and graduate students in the field of hard-copy communication by providing the fundamentals, basic and advanced techniques as examples of approaches to address the hard-copy media distortions and particularities.
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