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Data Science from Scratch: First Principles with Python
by Joel GrusData science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman And Hall/crc The R Ser. #26)
by Deborah Nolan Duncan Temple LangEffectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts
Data Science, Learning by Latent Structures, and Knowledge Discovery (Studies in Classification, Data Analysis, and Knowledge Organization)
by Berthold Lausen Sabine Krolak-Schwerdt Matthias BöhmerThis volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.
Data Structures and Abstractions with Java (Fourth Edition)
by Frank M. Carrano Timothy M. HenryA book for an introductory course in data structures, typically known as CS-2.
Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)
by Kent D. Lee Steve HubbardThis textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.
Data-Variant Kernel Analysis
by Yuichi MotaiDescribes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status, popular trends, and developments in kernel analysis studies. The author discusses multiple kernel learning algorithms and how to choose the appropriate kernels during the learning phase. Data-Variant Kernel Analysis is a new pattern analysis framework for different types of data configurations. The chapters include data formations of offline, distributed, online, cloud, and longitudinal data, used for kernel analysis to classify and predict future state. Data-Variant Kernel Analysis: Surveys the kernel analysis in the traditionally developed machine learning techniques, such as Neural Networks (NN), Support Vector Machines (SVM), and Principal Component Analysis (PCA) Develops group kernel analysis with the distributed databases to compare speed and memory usages Explores the possibility of real-time processes by synthesizing offline and online databases Applies the assembled databases to compare cloud computing environments Examines the prediction of longitudinal data with time-sequential configurations Data-Variant Kernel Analysis is a detailed reference for graduate students as well as electrical and computer engineers interested in pattern analysis and its application in colon cancer detection.
Data Visualization: Principles and Practice, Second Edition
by Alexandru C. TeleaDesigning a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration wi
Data Visualization with D3 and AngularJS
by Christoph KornerIf you are a web developer with experience in AngularJS and want to implement interactive visualizations using D3.js, this book is for you. Knowledge of SVG or D3.js will give you an edge to get the most out of this book.
Data Visualization with D3 and AngularJS
by Christoph Korner<P><P>Build dynamic and interactive visualizations from real-world data with D3 on AngularJS <P><P>About This Book <P><P>Explore the powerful vector graphics capabilities of modern browsers to build customized cross-platform visualizations using D3.js's data-driven techniques <P><P>Learn how to modularize a visualization into reusable and testable components using the powerful concepts of modern web application design with AngularJS <P><P>This is a step-by-step learning guide closely focused on developing responsive data visualization apps and AngularJS best practices with D3.js <P><P>Who This Book Is For <P><P>If you are a web developer with experience in AngularJS and want to implement interactive visualizations using D3.js, this book is for you. Knowledge of SVG or D3.js will give you an edge to get the most out of this book. <P><P>What You Will Learn <P><P>Design, implement, and integrate an interactive dashboard to visualize server logs in real time using D3 graphics <P><P>Learn cross-platform vector graphics to implement a dashboard visualization <P><P>Perform data-driven transformations on selected HTML and SVG nodes <P><P>Map, group, and filter datasets and create scales and axes <P><P>Modularize data visualization information into reusable components to seamlessly integrate them into an AngularJS application <P><P>Load, parse, and preprocess external data and autoupdate the visualization <P><P>Design various chart types such as scatter, line, bar, or area and extend built-in shapes <P><P>Create custom animations and transitions for the visualization <P><P>Implement interactions and controls for the visualization preserving two-way binding between D3 and AngularJS components <P><P>In Detail <P><P>Using D3.js, the powerful JavaScript toolkit for creating cross-platform vector graphics, you can now combine performance with maximum compatibility to build a web-based visualization and present data in an interactive and convenient way. We'll reach top-notch reusability and testability by combining D3 graphics with our favorite web application framework, AngularJS. <P><P>This book teaches the basics of vector graphics, D3, and AngularJS integration, and then dives into controlling, manipulating, and filtering data. You will learn about the testability of components and how to implement custom interactions, filters, and controllers; discover how to parse and map data in D3.js; and get a grasp on drawing D3.js built-in shapes and curves. After reading the last few chapters, you'll be able to bring life to your visualizations with more features of D3.js such as interactions, animations, and transitions. You will finish your journey by implementing a parser for different server application logs and display them on a Google Analytics style interactive dashboard.
Data Visualization with JavaScript
by Stephen A. Thomas<P>You’ve got data to communicate. But what kind of visualization do you choose, how do you build your visualizations, and how do you ensure that they're up to the demands of the Web? <P> In Data Visualization with JavaScript, you’ll learn how to use JavaScript, HTML, and CSS to build practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and you'll be building basic visualizations (like bar, line, and scatter graphs) in no time. <P>You'll also learn how to: <br>–Create tree maps, heat maps, network graphs, word clouds, and timelines <br>–Map geographic data, and build sparklines and composite charts–Add interactivity and retrieve data with AJAX <br>–Manage data in the browser and build data-driven web applications <br>–Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries <P>If you already know your way around building a web page but aren’t quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. You’ll soon be well on your way to creating simple, powerful data visualizations.
Database and Expert Systems Applications: 26th International Conference, DEXA 2015, Valencia, Spain, September 1-4, 2015, Proceedings, Part I (Lecture Notes in Computer Science #9261)
by Abdelkader Hameurlain Roland Wagner Hendrik Decker Farouk Toumani Qiming ChenThis two volume set LNCS 9261 and LNCS 9262 constitutes the refereed proceedings of the 26th International Conference on Database and Expert Systems Applications, DEXA 2015, held in Valencia, Spain, September 1-4, 2015. The 40 revised full papers presented together with 32 short papers, and 2 keynote talks, were carefully reviewed and selected from 125 submissions. The papers discuss a range of topics including: temporal, spatial and high dimensional databases; semantic Web and ontologies; modeling, linked open data; NoSQLm NewSQL, data integration; uncertain data and inconsistency tolerance; database system architecture; data mining, query processing and optimization; indexing and decision support systems; modeling, extraction, social networks; knowledge management and consistency; mobility, privacy and security; data streams, Web services; distributed, parallel and cloud databases; information retrieval; XML and semi-structured data; data partitioning, indexing; data mining, applications; WWW and databases; data management algorithms. These volumes also include accepted papers of the 8th International Conference on Data Management in Cloud, Grid and P2P Systems, Globe 2015, held in Valencia, Spain, September 2, 2015. The 8 full papers presented were carefully reviewed and selected from 13 submissions. The papers discuss a range of topics including: MapReduce framework: load balancing, optimization and classification; security, data privacy and consistency; query rewriting and streaming.
Database Design, Application Development, and Administration (Sixth Edition)
by Michael ManninoMannino provides with a foundation to understand database technology supporting enterprise computing needs. The text is ideal for new students of database management, who need to understand the fundamental concepts of database management and the relational data model, followed by a mastery of skills in database design and database application development. This textbook provides tools to help students understand relational databases and acquire skills to solve basic and advanced problems in query formulation, data modeling, normalization, application data requirements, and customization of database applications.
Database of Dreams
by Rebecca LemovJust a few years before the dawn of the digital age, Harvard psychologist Bert Kaplan set out to build the largest database of sociological information ever assembled. It was the mid-1950s, and social scientists were entranced by the human insights promised by Rorschach tests and other innovative scientific protocols. Kaplan, along with anthropologist A. I. Hallowell and a team of researchers, sought out a varied range of non-European subjects among remote and largely non-literate peoples around the globe. Recording their dreams, stories, and innermost thoughts in a vast database, Kaplan envisioned future researchers accessing the data through the cutting-edge Readex machine. Almost immediately, however, technological developments and the obsolescence of the theoretical framework rendered the project irrelevant, and eventually it was forgotten.
Database Systems: Design, Implementation, and Management (Eleventh Edition)
by Carlos Coronel Steven MorrisPractical and easy to understand, DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, AND MANAGEMENT, Eleventh Edition, gives students a solid foundation in database design and implementation. Filled with visual aids such as diagrams, illustrations, and tables, this market-leading text provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment. Renowned for its clear, straightforward writing style, this text provides students with an outstanding balance of theory and practice. The eleventh edition has been updated to include expanded relational algebra coverage, updated business vignettes showing the impact of database tech in the real world, updated coverage of cloud data services, expanded coverage of Big Data and related Hadoop technologies, SQL coverage expanded to include MySQL databases, and many other improvements! In addition, new review questions, problem sets, and cases have been added throughout the book so that students have multiple opportunities to test their understanding and develop real and useful design skills.
Database Systems: A Practical Approach to Design, Implementation, and Management (6th Edition)
by Thomas Connolly Carolyn BeggDatabase Systems is ideal for a one- or two-term course in database management or database design in an undergraduate or graduate level course. With its comprehensive coverage, this book can also be used as a reference for IT professionals. This best-selling text introduces the theory behind databases in a concise yet comprehensive manner, providing database design methodology that can be used by both technical and non-technical readers. The methodology for relational Database Management Systems is presented in simple, step-by-step instructions in conjunction with a realistic worked example using three explicit phases--conceptual, logical, and physical database design. #65533; Teaching and Learning Experience This program presents a better teaching and learning experience-for you and your students. It provides: Database Design Methodology that can be Used by Both Technical and Non-technical Readers A Comprehensive Introduction to the Theory behind Databases A Clear Presentation that Supports Learning
Database Systems for Advanced Applications: DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Hanoi, Vietnam, April 20-23, 2015, Revised Selected Papers (Lecture Notes in Computer Science #9052)
by An Liu Yoshiharu Ishikawa Tieyun Qian Sarana Nutanong Muhammad Aamir CheemaDASFAA is an annual international database conference, located in the Asia-Pacific region,which show cases state-of-the-art R & D activities in databases-terms and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry. DASFAA 2015 the 20th in the series, was held during April 20-23, 2015 in Hanoi, Vietnam. In this year, we carefully selected two workshops, each focusing on specific research issues that contribute to the main themes of the DASFAA conference. This volume contains the final versions of papers accepted for the two workshops: Second International Workshop on Semantic Computing and Personalization (SeCoP 2015); Second International Workshop on Big Data Management and Service (BDMS 2015); and a Poster Session. [All the workshops were selected via a public call-for-proposals process. The workshop organizers put a tremendous amount of effort into soliciting and - lecting papers with a balance of high quality, new ideas and new applications. We asked all workshops to follow a rigid paper selection process, including the procedure to ensure that any Program Committee members are excluded from the paper review process of any paper they are involved with. A requirement about the overall paper acceptance rate of no more than 50% was also imposed on all the workshops. ]
Databases for Small Business: Essentials of Database Management, Data Analysis, and Staff Training for Entrepreneurs and Professionals
by Anna ManningThis book covers the practical aspects of database design, data cleansing, data analysis, and data protection, among others. The focus is on what you really need to know to create the right database for your small business and to leverage it most effectively to spur growth and revenue. Databases for Small Business is a practical handbook for entrepreneurs, managers, staff, and professionals in small organizations who are not IT specialists but who recognize the need to ramp up their small organizations' use of data and to round out their own business expertise and office skills with basic database proficiency. Anna Manning--a data scientist who has worked on database design and data analysis in a computer science university research lab, her own small business, and a nonprofit--walks you through the progression of steps that will enable you to extract actionable intelligence and maximum value from your business data in terms of marketing, sales, customer relations, decision making, and business strategy. Dr. Manning illustrates the steps in the book with four running case studies of a small online business, an engineering startup, a small legal firm, and a nonprofit organization. What you'll learn Design a small business database from scratch Extract the maximum profit from your data Follow guidance on data protection law Effectively use data collection and data cleansing techniques Train staff to leverage your data Who this book is for Databases for Small Business is a practical handbook for entrepreneurs, managers, staff, and professionals in any small organization who are not IT specialists but who recognize the need to ramp up their small organization's use of data and to round out their own and their staff's business expertise and office skills with basic database proficiency. Table of Contents Chapter 1. How Data Can Benefit Your Small Business Chapter 2. A Small Engineering Company: Case Study Chapter 3. A Small Law Firm: Case Study Chapter 4. A Small Nonprofit: Case Study Chapter 5. Aligning Your Database With the Goals of Your Small Business Chapter 6. Choosing between Spreadsheets and Databases Chapter 7. Designing Your Small Business Database Chapter 8. Data Protection Laws and Your Data Security and Privacy Policy Chapter 9. Collecting Your Data Chapter 10. Cleansing Your Data Chapter 11. Maintaining Your Database Chapter 12. Searching Your Database Chapter 13. Analyzing Your Data Chapter 14. Reporting Your Small Business Data Analysis Chapter 15. Acting on Reports Chapter 16. Acting on Outside Requests Chapter 17. Archiving and Retrieving Your Small Business Data Chapter 18. Storing Your Database in the Cloud Chapter 19. Searching Online Databases for Your Small Business Needs Chapter 20. Training Your Staff Appendix
Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28-29, 2016, Proceedings (Lecture Notes in Computer Science #9877)
by Muhammad Aamir Cheema Wenjie Zhang Lijun ChangThis book constitutes the refereed proceedings of the 26th Australasian Database Conference, ADC 2015, held in Melbourne, VIC, Australia, in June 2015. The 24 full papers presented together with 5 demo papers were carefully reviewed and selected from 43 submissions. The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data driven applications and data analytics between researchers and practitioners from around the globe, particularly Australia and New Zealand. The mission of ADC is to share novel research solutions to problems of today's information society that fulfill the needs of heterogeneous applications and environments and to identify new issues and directions for future research. ADC seeks papers from academia and industry presenting research on all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.
Databases Theory and Applications: 26th Australasian Database Conference, Adc 2015, Melbourne, Vic, Australia, June 4-7, 2015. Proceedings (Theoretical Computer Science and General Issues #9093)
by Jianzhong Qi Jinjun Chen Gao Cong Junhu WangThis book constitutes the refereed proceedings of the 29th Australasian Database Conference, ADC 2018, held in Gold Coast, QLD, Australia, in May 2018.The 23 full papers plus 6 short papers presented together with 3 demo papers were carefully reviewed and selected from 53 submissions. The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data-driven applications, and data analytics between researchers and practitioners from around the globe, particularly Australia and New Zealand.
Daten- und Informationsqualität: Auf dem Weg zur Information Excellence
by Knut Hildebrand Marcus Gebauer Holger Hinrichs Michael MielkeDas erste deutsche Buch zum Thema Daten- und Informationsqualität in der dritten, erweiterten Auflage. Wissenschaftlich fundiert und von Praktikern geschrieben, wird der aktuelle Stand aus Forschung und praktischer Anwendung präsentiert, in den wichtigen Facetten dieses wichtigen Themas. Ein Muss für alle IT-Profis.
Day Trading Stocks The Wall Street Way: A Proprietary Method For Intra-day And Swing Trading
by Josh DiPietroDay Trading Stocks the Wall Street Way: A Proprietary Disclosure on Intra-Day Trading and Swing Trading Equities provides a real-world guide to successful day trading, and gives you the tools, techniques, and tested, reliable methods you need to trade like the pros. Written by a seventeen-year day trading veteran, this guide talks you down from the industry hype to give you a realistic grounding in self-discipline, consistency, and patience while teaching you the hard skills you need to have a real chance of success. <p><p> Avoid losses by swerving from the typical beginner's path of seminars, software, and major brokerage houses, and instead develop the insights that lead to real, long-term profits. With an engaging and humorous tone, the author relates his own experiences and lessons learned to teach you the do's, the don'ts, and the ingredients for success. You'll discover Josh DiPietro's FUSION TRADING SYSTEM—a proven method developed from years of reliability testing. He'll show you how intra-day setups and swing trading setups can be merged to develop a perfect trade. <p> The surest path to failure and tremendous financial loss begins with the over-eager, overly optimistic amateur trader who sees day trading as a quick and easy path to wealth. This book gives you a much more realistic outlook, and the fundamentals you need to make the most of the market. <p> A poorly defined trading approach will cost you more money than you will make, rendering your day trading venture a potentially damaging net loss. Day Trading Stocks the Wall Street Way: A Proprietary Disclosure on Intra-Day Trading and Swing Trading Equities teaches you the avoidance of loss, the discipline, and the transparent strategies of success, so you can play the market to win.
Death by Video Game: Danger, Pleasure, and Obsession on the Virtual Frontline
by Simon Parkin"The finest book on video games yet. Simon Parkin thinks like a critic, conjures like a novelist, and writes like an artist at the height of his powers--which, in fact, he is." --Tom Bissell, author of Extra Lives: Why Video Games MatterOn January 31, 2012, a twenty-three-year-old student was found dead at his keyboard in an internet café while the video game he had been playing for three days straight continued to flash on the screen in front of him. Trying to reconstruct what had happened that night, investigative journalist Simon Parkin would discover that there have been numerous other incidents of "death by video game." And so begins a journey that takes Parkin around the world in search of answers: What is it about video games that inspires such tremendous acts of endurance and obsession? Why do we so thoroughly lose our sense of time and reality within this medium? How in the world can people play them . . . to death?In Death by Video Game, Parkin examines the medical evidence and talks to the experts to determine what may be happening, and introduces us to the players and game developers at the frontline of virtual extremism: the New York surgeon attempting to break the Donkey Kong world record . . . the Minecraft player three years into an epic journey toward the edge of the game's vast virtual world . . . the German hacker who risked prison to discover the secrets behind Half-Life 2 . . .Riveting and wildly entertaining, Death by Video Game will change the way we think about our virtual playgrounds as it investigates what it is about them that often proves compelling, comforting, and irresistible to the human mind--except for when it's not.From the Hardcover edition.
Decision and Game Theory for Security
by Mhr Khouzani Emmanouil Panaousis George TheodorakopoulosThis book constitutes the refereed proceedings of the 6th International Conference on Decision and Game Theory for Security, GameSec 2015, held in London, UK, in November 2015. The 16 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. Game and decision theory has emerged as a valuable systematic framework with powerful analytical tools in dealing with the intricacies involved in making sound and sensible security decisions. For instance, game theory provides methodical approaches to account for interdependencies of security decisions, the role of hidden and asymmetric information, the perception of risks and costs in human behaviour, the incentives/limitations of the attackers, and much more. Combined with our classical approach to computer and network security, and drawing from various fields such as economic, social and behavioural sciences, game and decision theory is playing a fundamental role in the development of the pillars of the "science of security".
Decision and Game Theory for Security
by Quanyan Zhu Tansu Alpcan Emmanouil Panaousis Milind Tambe William CaseyThis book constitutes the refereed proceedings of the 6th International Conference on Decision and Game Theory for Security, GameSec 2015, held in London, UK, in November 2015. The 16 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. Game and decision theory has emerged as a valuable systematic framework with powerful analytical tools in dealing with the intricacies involved in making sound and sensible security decisions. For instance, game theory provides methodical approaches to account for interdependencies of security decisions, the role of hidden and asymmetric information, the perception of risks and costs in human behaviour, the incentives/limitations of the attackers, and much more. Combined with our classical approach to computer and network security, and drawing from various fields such as economic, social and behavioural sciences, game and decision theory is playing a fundamental role in the development of the pillars of the "science of security".
Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
by Tatiana V. Guy Miroslav Kárný David H. WolpertThis volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selsh decision makers. The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making. Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems. In particular, analyses and experiments are presented which concern: * task allocation to maximize "the wisdom of the crowd"; * design of a society of "edutainment" robots who account for one anothers' emotional states; * recognizing and counteracting seemingly non-rational human decision making; * coping with extreme scale when learning causality in networks; * efciently incorporating expert knowledge in personalized medicine; * the effects of personality on risky decision making. The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other elds.