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It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to graphically depict crime trends and to pre...

Expert instruction on the practical applications of candlestick charting Candlestick charting is more popular than ever before, with a legion of new traders and investors being introduced to the concept by some of today’s hottest investment gurus. Having introduced the candlestick technique to the West through two of his bestselling books, Steve Nison is regarded as a luminary in the field of candlestick charting. In his new venture, The Candlestick Course, Nison explains patterns of varying co...

This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include: The role of Explainable AI in improving customer...

A flood of data means that many of the challenges in biology are now challenges in computing. Bioinformatics, the application of computational techniques to analyse the information associated with biomolecules on a large-scale, has now firmly established itself as a discipline in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics to gene expression studies. In this text we provide an introduction and overview of the current state of the field. We d...

Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis too...

This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications. The book also discusses the challenges and opport...

Build an end-to-end geospatial data lake in AWS using popular AWS services such as RDS, Redshift, DynamoDB, and Athena to manage geodata Purchase of the print or Kindle book includes a free PDF eBook. Key Features Explore the architecture and different use cases to build and manage geospatial data lakes in AWS Discover how to leverage AWS purpose-built databases to store and analyze geospatial data Learn how to recognize which anti-patterns to avoid when managing geospatial data in the cloud...

Richard Watson provides a balanced treatment of the technical and business sides of managing data. Management of data has never been more critical for organizations of any size. This book discusses the technical aspects of database design and implementation as well as the why and how of the management of databases, and the managerial issues and business philosophy behind databases. The text includes sections on UML for data modelling, server-side scripting (PHP) for linking a database to Web ser...

Despite the rapid advance of technology in the last few decades, accurate, on-time and on-budget completion of information systems development projects is still a vision rather than a reality. Despite the rapid advance of technology in the last few decades, accurate, on-time and on-budget completion of information systems development projects is still a vision rather than a reality. An optimal information modeling technique may be defined as an information modeling technique that is most appropr...

Build an enterprise search engine using Apache Solr: index and search documents; ingest data from varied sources; apply various text processing techniques; utilize different search capabilities; and customize Solr to retrieve the desired results. Apache Solr: A Practical Approach to Enterprise Search explains each essential concept-backed by practical and industry examples--to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction...

This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; ass...

Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from...

If you understand the basics of HTML5, CSS, and JavaScript and want to make quick sense of the extensive but often overwhelming reference documentation on D3.js, this short book is for you. Philipp K. Janert, author of Data Analysis with Open Source Tools (O’Reilly), provides a concise roadmap to this library, including its conventions and foundational concepts. D3.js for the Impatient is concise, yet comprehensive. Janert presents an overall survey of working with D3.js, while steering clear...

Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this b...

From beginner to Jedi, this cookbook has a recipe for everyone, whether you're just learning how to create data visualizations or have already used Tableau for years. Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards--and helps you understand your data through the power of Tableau Desktop 2020's interactive data visualizations. With this cookbook, Tableau beginners will learn hands-on how this unique self-serve tool works, while experien...

Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves. Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You'll learn how to c...

　 For developers working with big data, it's not enough to have a theoretical understanding of Hadoop. They need to solve real challenges like analyzing real-time streams, moving data securely between storage systems, and managing large-scale clusters. The Hadoop ecosystem is constantly growing, and it's important they keep up with the new technologies and practices to stay productive and future-proof data systems.   Hadoop in Practice, Second Edition provides over 100 tested, instantly-usef...

Digital Business, Internet, Informationsgesellschaft, Information als Wettbewerbs- und Standortfaktor: Diese Stichworte verdeutlichen die unternehmerische und gesellschaftliche Bedeutung von Information. Doch nicht nur Information allein, sondern auch die Systeme, die Informationen verarbeiten, speichern und A1/4bertragen und die Techniken, auf denen sie beruhen, verdienen Aufmerksamkeit. Informationsmanagement hat die Aufgabe, den im Hinblick auf das Unternehmensziel bestmAglichen Einsatz der R...

This book delves into the complex field of dynamic systems engineering, exploring two fundamental pillars: an introduction to the modeling, analysis and control of dynamic systems, as well as fault diagnosis based on a dynamic system model. From this point of view, this work is divided in two parts. The first part is devoted to techniques of modeling, analysis and control of stems. The application examples serve to reinforce the theoretical concepts presented. The second part is dedicated to the...

Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain practical experience in conducting EDA on a single variable of interest in Python Learn the different techniques for analyzing and exploring tabular, time series, and textual data in Python Get well versed in data visualization using leading Python libraries like Matplotlib and seaborn Boo...