Steven Simske - Böcker

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

This book is a practical guide to defending critical infrastructure in today’s cyber world. Critical infrastructure includes energy, power, water, transportation, manufacturing, and facility systems, along with the sensors and actuators that make up operational technology (OT). It presents a systems engineering framework for coordinating interdependent organizations and technologies, ensuring seamless performance across multiple fields.Bridging the traditional divide between information technology (IT), operational technology (OT), and cybersecurity, the book offers practical starting points and disciplined approaches for governance boards, project managers, and engineers. Clear guidance is provided on how to implement cybersecurity mitigations within critical infrastructure, making complex concepts accessible and actionable.Many professionals in infrastructure operations, engineering, and technical management feel unprepared to address cyber threats. This book fills that gap, serving as both a self-study resource and a refresher for those without formal training in computer science, cyber, or control systems—and as a teaching tool for explaining these principles to others.The goal is to present enduring cybersecurity concepts through proven systems engineering methods, along with new techniques to align stakeholders and resources. From technicians and operators to designers and decision-makers, readers will gain tools to connect cybersecurity practices with mission objectives.By combining systems engineering and cyber defense principles, this book equips professionals to work effectively with incident responders, analysts, engineers, and senior management. Decision-making skills are presented in a clear, easy-to-understand style, supported by candid questions, current strategies, and real-world, case-based examples.

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 CompositionRhythm/MotiveMelody and HarmonyTonal CenterMode Mixture and ModulationAccompaniment/Instrumentation/OrchestrationComposition Techniques and NotationTargeted 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.

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.

This book explores the primary methods, presented as a set of thirteen patterns, used to insert mistruth in historical narratives. These patterns culminate in the broadest of patterns, versioning and propaganda, which are used to show that mistruth is unavoidable in any historical narrative. This also supports the argument that a primary task of the historian is to provide their own contextual considerations sufficiently to help their readers create their own version. The value of a deep, mistruth-aware analysis of history is thus shown to be crucial for understanding how to protect data of all types in today’s electronic society.In the Internet age, the history, literature, culture, and training of humans has increasingly moved on-line. While this makes traditionally difficult-to-access content available (in theory) to all, it also exposes the truth associated with these hallmarks of civilization to attack by those who wish to replace it with their own version of history, literature, culture, and learning.Each chapter includes a brief “cyber salon” applying the historical principles to the field of cybersecurity, which is of critical importance to preserving truth in an on-line world.