Databases

This book presents the latest results on the branching fraction and phase space distribution of B0 and Bs0 decays into final states including excited neutral charm mesons.

Build your own robo-advisor in Python to manage your investments and get up and running in no timePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExplore the use cases, workflow, and features that make up robo-advisorsLearn how to build core robo-advisor capabilities for goals, risk questions, portfolios, and projectionsDiscover how to operate the automated processes of a built and deployed robo-advisorBook DescriptionRobo-advisors are becoming table stakes for the wealth management industry across all segments, from retail to high-net-worth investors.

This book introduces new models based on R-calculus and theories of belief revision for dealing with large and changing data.

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality.

Learn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with easeKey FeaturesUnderstand various statistical and physical simulations to improve systems using PythonLearn to create the numerical prototype of a real model using hands-on examplesEvaluate performance and output results based on how the prototype would work in the real worldBook DescriptionSimulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it.

Applied Analysis of Composite Media: Analytical and Computational Approaches presents formulas and techniques that can used to study 2D and 3D problems in composites and random porous media.

Develop, test, and deploy decentralized applications for Ethereum platformKey FeaturesBuild your first Ethereum Dapp with Truffle: the most popular Ethereum development frameworkBuild, compile, and deploy smart contracts in your development environmentEmbrace Blockchains and utilize it to create new generation of secured and scalable appsBook DescriptionTruffle is a world-class development environment, testing framework and asset pipeline for Ethereum, aiming to make life as an Ethereum developer easier.

Digital Transformation in Industry 4.

Create interpretable AI models for transparent and explainable anomaly detection with this hands-on guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesBuild auditable XAI models for replicability and regulatory complianceDerive critical insights from transparent anomaly detection modelsStrike the right balance between model accuracy and interpretabilityBook DescriptionDespite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance.

Get better insights from time-series data and become proficient in model performance analysisKey FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook DescriptionThe Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models.

The second volume of this edited collection offers a number of contributions from leading scholars investigating Blockchain and its implications for business.

This book constitutes the refereed proceedings of the 18th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2021, held in Umea, Sweden, in September 2021.

This book presents findings from the papers accepted at the Cyber Security Education Stream and Cyber Security Technology Stream of The National Cyber Summit's Research Track, reporting on the latest advances on topics ranging from software security to cyber attack detection and modelling to the use of machine learning in cyber security to legislation and policy to surveying of small businesses to cyber competition, and so on.

This book is intended as a manual on modern advanced statistical methods for signal processing.

This book contains the refereed proceedings of the 15th International Conference on Knowledge Management in Organizations, KMO 2021, held in Kaohsiung, Taiwan, in July 2021.

With the turn of the century our ability to collect and store geospatial information has increased considerably.

This book constitutes the proceedings of the 26th International Conference on Conceptual Structures, ICCS 2021, held virtually in September 2021.

This book provides a critical comprehensive summary of the coevolution of telecom markets, rules and public institutions over the last 25 years, focusing on the challenges that regulators and policy makers have been facing.

This book presents new research contributions in the above-mentioned fields.

This book showcases state-of-the-art advances in service science and related fields of research, education, and practice.

This book constitutes thoroughly reviewed, revised and selected papers from the 4th International Conference on Human Centered Computing, HCC 2018, held in Merida, Mexico, in December 2018.

Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projectsKey FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine learning modelsBook DescriptionHave you always wanted to learn Python, but never quite known how to start?

Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters.

From the New York Times to Gawker, a behind-the-scenes look at how performance analytics are transforming journalism today-and how they might remake other professions tomorrowJournalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares.

The present book concentrates on giving readers a clear understanding of database fundamentals while providing a broad survey of all the major topics of the field.

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Big Data Technologies and Applications, BDTA 2017, held in Gwangju, South Korea, in November 2017.

This book is a collection of high scientific novel contributions addressing several of these challenges.

This textbook on Python 3 explains concepts such as variables and what they represent, how data is held in memory, how a for loop works and what a string is.

This book contains high-quality refereed research papers presented at the Fifth International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2022), which took place in Kyiv, Ukraine, on February 21-22, 2022, and was organized by the National Technical University of Ukraine "e;Igor Sikorsky Kyiv Polytechnic Institute,"e; National Aviation University, and the International Research Association of Modern Education and Computer Science.

This book is the very first book-length study devoted to the advances in technological development and systems research in cooperative economics.

This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.

In this book, the protection of personal data is compared for eight EU member states,namely France, Germany, the United Kingdom, Ireland, Romania, Italy, Sweden andthe Netherlands.

This book constitutes the refereed proceedings of the 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, held online in July 2021.

Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations.

Increasingly, human beings are sensors engaging directly with the mobile Internet.

This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems.

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.

This book addresses the implications of the Industry 4.

New to Oracle Global Data Services?

This book constitutes the refereed proceedings of the 33rd Annual IFIP WG 11.

This book introduces physics students to concepts and methods of finance.

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.

Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth.

This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses.

This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics.

Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions.

Microsoft SQL Server Integration Services is Microsoft's powerful platform for building enterprise-level data integration and data transformation solutions.

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions.

Today, the insights available through "e;big data"e; are potentially limitless - ranging from improved product recommendations and more well-targeted promotions to more efficient public agencies.