Big Data For Dummies


Book Description

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.







Student Self-Assessment


Book Description

Increase the achievement of every learner with Student Self-Assessment. In this practical guide, author Katie White outlines how to plan and implement various self-assessment strategies to ensure student growth at all grade levels. She covers every stage of the process--from setup to goal setting to celebrating. In each chapter, you'll find helpful step-by-step guidelines as well as questions to guide conversation and reflection throughout the journey. Understand how self-assessment skills benefit students now and in the future. Learn how to set up a self-assessment process and document learning. Train students to analyze and reflect on their own performance. Set strong, achievable goals in order to motivate students to realize their potential. Celebrate successes and continue to engage students with self-assessment. Contents: Introduction: Embracing Student Self-Assessment Chapter 1: Making a Compelling Case for Student-Self-Assessment Chapter 2: Setting Up a Self-Assessment Process and Documenting Learning Chapter 3: Engaging in Analysis and Reflection Chapter 4: Imagining Possibilities and Setting Goals Chapter 5: Celebrating Growth Chapter 6: Examining Age, Security, Families, and Other Factors Epilogue Appendix: Sample Self-Assessment Sequence References and Resources Index







Radiation Oncology Self-Assessment Guide


Book Description

Organized by site, this book covers in detail all the sites and cancer types currently treated by radiation oncologists. Detailed questions, organized in a "flash-card" format are included on the natural history, epidemiology, diagnosis, staging, treatment options, and treatment-related side effects for each cancer type allow the reader to thoroughly assess his or her knowledge of the field. The discussion of the questions includes key literature citations reinforcing the reader's knowledge of critical studies and guidelines in the field. Written in joint collaboration by residents and staff radiation oncologists at the Department of Radiation Oncology at the Cleveland Clinic Taussig Cancer Institute, the book contains more than 900 questions addressing the full gamut of the science and practice of radiation oncology today. Radiation Oncology Self-Assessment Guide Features: Comprehensive coverage of radiation oncology Flash-card" format facilitates recall of key data, treatment assessment and patient management, and important original studies Organized by the major subject areas in radiation oncology, the question sets feature structured questions and nswers designed to test recall and sharpen skills Authors are from the Department of Radiation Oncology at the Cleveland Clinic Taussig Cancer Institute




Human Capital Systems, Analytics, and Data Mining


Book Description

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent of any human capital software vendor offerings and is equally usable and portable among both commercial and internally developed HCMS. The book begins with an overview of HCMS, including coverage of human resource systems history and current HCMS Computing Environments. It next explores relational and dimensional database management concepts and principles. HCMS Instructional databases developed by the Author for use in Graduate Level HCMS and Compensation Courses are used for database modeling and dashboard design exercises. Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining tools through replication of actual original pay equity research by the author are included. New findings concerning Gender Based Pay Equity Research through the lens Comparable Worth and Occupational Mobility are covered extensively in Human Capital Metrics, Analytics and Data Mining Chapters.




Assessing the quality of agricultural market information systems: A self-assessment guide


Book Description

Over approximately the past 40 years, many developing countries invested in the establishment of agricultural market information systems or services (MIS). These systems or services were initially run by government agencies, but since the turn of the millennium private organizations have shown interest in providing data on a commercial basis. To date, however, these private services, while usually being more efficient than the government-run ones, have also largely depended on donor support for their continued operation. It has proved difficult to develop a profitable business model as many of the clients are small farmers and traders. Agricultural market information systems or services (MIS) can cover staples, horticultural crops, livestock, and export commodities. They are generally designed to collect, process, and disseminate or distribute data of relevance to farmers, traders and other buyers, such as processors, but the data they generate can also be used for a variety of purposes by governments, donors, international organizations and others.







Compendium of Research Reports


Book Description




Privacy and Identity Management. Data for Better Living: AI and Privacy


Book Description

This book contains selected papers presented at the 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Windisch, Switzerland, in August 2019. The 22 full papers included in this volume were carefully reviewed and selected from 31 submissions. Also included are reviewed papers summarizing the results of workshops and tutorials that were held at the Summer School as well as papers contributed by several of the invited speakers. The papers combine interdisciplinary approaches to bring together a host of perspectives, which are reflected in the topical sections: language and privacy; law, ethics and AI; biometrics and privacy; tools supporting data protection compliance; privacy classification and security assessment; privacy enhancing technologies in specific contexts. The chapters "What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking" and "Privacy Implications of Voice and Speech Analysis - Information Disclosure by Inference" are open access under a CC BY 4.0 license at link.springer.com.