Computing

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Power Bi - Data Mastery Made Easy

by Rob Botwright

~~6,61€~~ 5,29€ 20% OFF

 Unlock the Full Potential of Your Data with the "Power BI Data Mastery Made Easy" Book Bundle!Are you ready to transform your data into actionable insights and make informed decisions that drive success? Look no further! Introducing the "Power BI Data Mastery Made Easy" book bundle, a comprehensive collection of resources that will empower you to harness the true power of Microsoft''s leading business intelligence and data visualization tool-Power BI. Here''s what you''ll discover in this incredible bundle:Book 1 - Power BI Essentials: A Beginner''s Guide to Data Visualization Mastery· Ideal for beginners: Build a solid foundation in data visualization.· Learn to import and transform data from various sources.· Master the art of data analysis and visualization.Book 2 - Mastering Power BI: Advanced Techniques and Best Practices for Analysts· Elevate your skills to the next level with advanced techniques.· Discover best practices for tackling complex analytical challenges.· Master DAX formulas and optimize data models.· Become an analytics expert and excel in your field.Book 3 - Power BI Data Modeling: Building Robust Datasets for Effective Analysis· Unlock the full potential of Power BI with robust data modeling.· Design efficient and flexible data models.· Gain the skills to create powerful data sets for effective analysis.Book 4 - Expert Power BI: Advanced Analytics and Custom Visualizations Mastery· Dive into the world of advanced analytics and custom visuals.· Explore machine learning integration and geographic analysis.· Become a Power BI expert and stand out in your field. Grab the "Power BI Data Mastery Made Easy" book bundle today and start your exciting adventure into the world of Power BI-where data mastery is within reach for everyone!
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Audit And Trace Log Management - Consolidation And Analysis

by Phillip Q. Maier

~~152,38€~~ 121,90€ 20% OFF

 As regulation and legislation evolve, the need for cost-effective audit and monitoring solutions will grow. This book offers an introduction of requirements and problem definition, and delivers a multidimensional solution set with applicability across a range of organizations. It provides information in the form of process walkthroughs.
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Information Discovery On Electronic Health Records

~~159,00€~~ 127,20€ 20% OFF

 Exploiting the information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Addressing the challenges of leveraging this information, this book explores the technology to unleash the data stored in EHRs.
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Intelligent Data Warehousing - From Data Preparation To Data Mining

by Zhengxin Chen

~~205,38€~~ 164,30€ 20% OFF

 Presents information in data warehousing research and practice from a perspective that integrates business applications and computer science. This book brings the techniques associated with artificial intelligence (AI) to the entire process of data warehousing.
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Building And Maintaining A Data Warehouse

by Fon Silvers

~~66,24€~~ 52,99€ 20% OFF

 Offering the perspective of a data warehouse, as well as that of a failed one, the author details those factors that must be accomplished and those that are best avoided. He looks at areas of a data warehouse individually and in sequence, showing how each piece becomes a working part of the whole.
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Statistical Data Mining Using Sas Applications

by George Fernandez

~~205,38€~~ 164,30€ 20% OFF

 Compatible with SAS version 9, SAS Enterprise Guide, and SAS Learning Edition, this resource describes statistical data mining concepts and methods and includes 13 user-friendly SAS macro applications for performing complete data mining tasks. Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results.
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Practical Data Mining

by Monte F. Hancock Jr.

~~82,14€~~ 65,71€ 20% OFF

 Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in technical waters. Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process. Catering to IT consultants, professional data analysts, and sophisticated data owners, this systematic, yet informal treatment will help readers answer questions, such as: What process model should I use to plan and execute a data mining project? How is a quantitative business case developed and assessed? What are the skills needed for different data mining projects? How do I track and evaluate data mining projects? How do I choose the best data mining techniques? Helping you avoid common mistakes, the book describes specific genres of data mining practice. Most chapters contain one or more case studies with detailed projects descriptions, methods used, challenges encountered, and results obtained. The book includes working checklists for each phase of the data mining process. Your passport to successful technical and planning discussions with management, senior scientists, and customers, these checklists lay out the right questions to ask and the right points to make from an insider's point of view.
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Green And Virtual Data Center

by Greg Schulz

~~82,14€~~ 65,71€ 20% OFF

 Sets aside the political aspects of what is or is not considered green, to instead examine the opportunities for organizations that want to sustain economical growth that is environmental-friendly.
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Cloud And Virtual Data Storage Networking

by Greg Schulz

~~145,75€~~ 116,60€ 20% OFF

 The amount of data being generated, processed, and stored has reached unprecedented levels. Even during the recent economic crisis, there has been no slow down or information recession. Instead, the need to process, move, and store data has only increased. Consequently, IT organizations are looking to do more with what they have while supporting growth along with new services without compromising on cost and service delivery. Cloud and Virtual Data Storage Networking, by savvy IT industry veteran Greg Schulz, looks at converging IT resources and management technologies for facilitating efficient and effective delivery of information services, including enabling of Information Factories. Regardless of your experience level, Schulz guides you through the various technologies and techniques available for achieving efficient information services delivery. Coverage includes:Information services delivery model options and best practicesMetrics for efficient E2E IT managementServer, storage, I/O networking, and data center virtualizationConverged and cloud storage services (IaaS, PaaS, SaaS)Data protection for virtual, cloud, and physical environmentsData footprint reduction and data protection modernizationHigh availability, business continuance, and disaster recoveryThis much-needed reference brings together technology themes and topics that are converging in IT and data center environments for enabling effective information services, in a practical and hype-free manner. When it comes to IT clouds and virtualization, you must look before you leap. This book will help you address the questions of when, where, with what, and how to leverage cloud, virtual, and data storage networking as part of your IT infrastructure.A video of Greg Schulz discussing his new book is featured on the CRC Press YouTube channel.Visit Slideshare to view a slide presentation based on the book.
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Music Data Mining

~~74,19€~~ 59,35€ 20% OFF

 The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing.The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining. The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.
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Theory And Practice Of Relational Databases

by Bob Champion, Richard Leyton e Stefan Stanczyk

~~98,04€~~ 78,43€ 20% OFF

 This book presents the student with the basic principles and practical guidance for the development of relational databases with in the framework of the set processing paradigm,
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Practical Mongodb Aggregations - The Official Guide To Developing Optimal Aggregation Pipelines With Mongodb 7.0

by Paul Done

~~75,51€~~ 60,41€ 20% OFF

 Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey FeaturesBuild effective aggregation pipelines for increased productivity and performanceSolve common data manipulation and analysis problems with the help of practical examplesLearn essential strategies to aggregate time series data in financial datasets and IoTPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionOfficially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks. This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.What you will learnDevelop dynamic aggregation pipelines tailored to changing business requirementsMaster essential techniques to optimize aggregation pipelines for rapid data processingAchieve optimal efficiency for applying aggregations to vast datasets with effective sharding strategiesEliminate the performance penalties of processing data externally by filtering, grouping, and calculating aggregated values directly within the databaseUse pipelines to help you secure your data access and distributionWho this book is forThis book is for intermediate-level developers, architects, analysts, engineers, and data scientists who are interested in learning about aggregation capabilities in MongoDB. Working knowledge of MongoDB is needed to get the most out of this book.]]>
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Mastering Mongodb 7.0 - Achieve Data Excellence By Unlocking The Full Potential Of Mongodb

by Arek Borucki, Elie Hannouch, Leandro Domingues, Malak Abu Hammad, Marko Aleksendric, Rachelle Palmer e Rajesh Nair

~~75,51€~~ 60,41€ 20% OFF

 Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0Key FeaturesEnhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performanceMonitor, back up, and integrate applications effortlessly with MongoDB AtlasImplement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB's architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0 s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.What you will learnExecute advanced MongoDB queries for intricate data insightsHarness the power of aggregation pipelines to transform dataEnsure data integrity with multi-document ACID transactionsOptimize query performance using strategic indexing techniquesNavigate MongoDB Atlas seamlessly for monitoring and backupsEnable robust search functionality with Atlas SearchMaster RBAC, user management, and data encryption for securityImplement auditing practices for transparency and accountabilityWho this book is forThis book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.]]>
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Quantum Theory, Decision Making And Social Dynamics

by Prasenjit Mandal, Rupkumar Mahapatra, Sovan Samanta e Tofigh Allahviranloo

~~209,34€~~ 167,47€ 20% OFF

 Quantum Theory, Decision Making, and Social Dynamics is a detailed exploration of the connection between quantum theory, decision-making, and social networks. As quantum theory expands into various fields, there is an increasing demand for accessible resources that clarify its principles and uses. This book aims to address that need by explaining the complex relationship between quantum theory and social dynamics, especially in decision-making contexts. It discusses the challenges of understanding and applying quantum theory in social settings and provides readers with the knowledge to leverage its potential in decision-making processes. The book is divided into eleven chapters, each focusing on a specific aspect of quantum theory and its applications. Chapter 1 introduces quantum theory, fuzzy logic, and social network analysis, highlighting key concepts like superposition, entanglement, and fuzzy influence within networks. Chapter 2 examines fuzzy sets, membership functions, and inference systems, with applications in devices, traffic management, and healthcare. Chapter 3 covers the mathematical framework of quantum mechanics and its philosophical paradoxes, connecting them to fuzzy logic models of uncertainty. Chapter 4 links social networks to quantum graphs, defining their topology, centrality, and entangled edges. Chapter 5 models social identity as a fuzzy quantum superposition, exploring identity collapse and coherence within networks. Chapter 6 relates quantum entanglement to social ties, proposing fuzzy-quantum graph models for interconnected systems. Chapter 7 analyses measures of irregularity in quantum graphs and applies these to financial networks. Chapter 8 integrates quantum cognition with fuzzy MCDM, employing various probability evaluation methods. Chapter 9 features case studies of fuzzy systems and their integration with quantum fuzzy graphs. Chapter 10 develops a quantum graph-based link prediction model for dynamic social networks. Chapter 11 concludes with a summary of the quantum-fuzzy framework, discussing its contributions, limitations, and future directions. - Integrated Framework Combines quantum theory, fuzzy logic, and social network analysis for modeling uncertainty and complexity. - Novel Models Presents quantum graphs, fuzzy quantum identity, and entanglement-based social network representations. - Real-World Applications Includes practical case studies in decision-making, network analysis, and predictive modeling.
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Essentials Of Big Data Analytics - Applications In R And Python

by Kalyani Pampattiwar, Pallavi Chavan e Ramchandra Mangrulkar

~~188,14€~~ 150,51€ 20% OFF

 Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments. - Includes hands-on Tutorials and Case Studies: Structured exercises and real-world examples reinforce learning and skill-building- Focuses on Python and R for Big Data: Detailed lessons in Python and R programming cater to the increasing demand for data science expertise- Balanced Theory and Practice: Comprehensive coverage ensures a strong theoretical foundation paired with actionable insights for real-world application
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Multimodal Learning Using Heterogeneous Data

~~193,44€~~ 154,75€ 20% OFF

 Multimodal Learning Using Heterogeneous Data is a comprehensive guide to the emerging field of multimodal learning, which focuses on integrating diverse data types such as text, images, and audio within a unified framework. The book delves into the challenges and opportunities presented by multimodal data and offers insights into the foundations, techniques, and applications of this interdisciplinary approach. It is intended for researchers and practitioners interested in learning more about multimodal learning and is a valuable resource for those working on projects involving data analysis from multiple modalities.The book begins with a comprehensive introduction, focusing on multimodal learning's foundational principles and the intricacies of heterogeneous data. It then delves into feature extraction, fusion techniques, and deep learning architectures tailored for multimodal data. It also covers transfer learning, pre-processing challenges, and cross-modal information retrieval. The book highlights the application of multimodal learning in specialized contexts such as sentiment analysis, data generation, medical imaging, and ethical considerations. Real-world case studies are woven into the narrative, illuminating the applications of multimodal learning in diverse domains such as natural language processing, multimedia content analysis, autonomous systems, and cognitive computing. The book concludes with an insightful exploration of multimodal data analytics across social media, surveillance, user behavior, and a forward-looking examination of future trends and practical implementations. As a collective resource, Multimodal Learning Using Heterogeneous Data illuminates the powerful utility of multimodal learning to elevate machine learning tasks while also highlighting the need for innovative solutions and methodologies. The book acknowledges the challenges associated with deep learning and the growing importance of ethical considerations in the collection and analysis of multimodal data.Overall, Multimodal Learning Using Heterogeneous Data provides an expansive panorama of this rapidly evolving field, its potential for future research and application, and its vital role in shaping machine learning's evolution. - Provides a detailed exploration of multimodal learning techniques with a special focus on handling heterogeneous data sources- Delves into advanced techniques such as deep fusion, graph-based methods, and attention mechanisms, catering to readers seeking deeper understanding- Offers code examples, practical guidance, and real-world case studies to bridge the gap between theory and application- Highlights applications in domains such as healthcare, autonomous vehicles, and multimedia analysis to showcase the practical relevance of multimodal learning- Discusses emerging trends and challenges, enabling readers to stay ahead in this evolving field
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Big Data, Big Impact: Navigating Competition, Privacy, And Reform

~~225,25€~~ 180,20€ 20% OFF

 As nearly every aspect of our society and economy has moved online, vast amounts of digital data are being collected about us-data that spans everything from who we are, to what we like, to who we communicate with, and even what we do. While this mass data collection has some valuable and productive applications, it also poses profound risks. What happens to our basic autonomy as individuals when both the government and private companies can amass detailed profiles about us, using that information to predict and, potentially, manipulate our behavior? What are the implications for our economy when some of the most popular online products and services depend on opaque data collection and personalization? And what does it mean for our democracy when these data practices shape public discourse and influence the flow of news and information?
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Big Data And Software Defined Networks

~~238,50€~~ 190,80€ 20% OFF

 Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). This new book investigates areas where Big-Data and SDN can help each other in delivering more efficient services.
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Java - Chinese Edition

~~43,71€~~ 34,97€ 20% OFF

 No detailed description available for "Java".
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Tensorflow - Chinese Edition

~~39,74€~~ 31,79€ 20% OFF

 No detailed description available for "TensorFlow".
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R - Chinese Edition

~~39,74€~~ 31,79€ 20% OFF

 No detailed description available for "R".
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R - Chinese Edition

~~49,01€~~ 39,21€ 20% OFF

 No detailed description available for "R".
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Tensorflow - Chinese Edition

~~35,76€~~ 28,61€ 20% OFF

 No detailed description available for "TensorFlow".
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Handbook Of Big Data Analytics - Applications In Ict, Security And Business Analytics, Volume 2

~~218,63€~~ 174,90€ 20% OFF

 This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.
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