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This book is a welcome guide for educators, civic leaders, and researchers looking for ways to leverage data to identify the most effective policies, interventions, and use of resources for their communities. In the current era of reform, much has been made of the fact that there are many influences that shape children beyond the walls of the schoolhouse. Powerful data “warehouses” have been built to track children and interventions within school bureaucracies and in other social service sectors. Yet these data systems are rarely linked to provide a holistic view of how individual children are faring both in and out of school and which interventions—or combinations thereof—are most promising. Privacy laws and institutional traditions have made such collaborations difficult, if not impossible. Until now. The Youth Data Archive, based at the John W. Gardner Center for Youth and Their Communities at Stanford University, is an effort to blaze a new path to the productive use of cross-agency data now employed by researchers, school officials, and service providers in San Francisco, San Mateo, Alameda, and Santa Clara counties. Editors Milbrey McLaughlin and Rebecca A. London, leaders of the Youth Data Archive, bring together participants who describe the initiative and its challenges and successes. The participants also give detailed background on how the archive was built and how it has led to improvements in services, particularly for children at risk. This book is a welcome guide for educators, civic leaders, and researchers looking for ways to leverage data to identify the most effective policies, interventions, and use of resources for their communities.
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. R in Action, Second Edition is a language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients. Purchase of the print book comes with an offer of a free PDF eBook from Manning. Also available is all code from the book.
Data has never mattered more. Our lives are increasingly shaped by it and how it is defined, collected and used. But who counts in the collection, analysis and application of data? This important book is the first to look at queer data – defined as data relating to gender, sex, sexual orientation and trans identity/history. The author shows us how current data practices reflect an incomplete account of LGBTQ lives and helps us understand how data biases are used to delegitimise the everyday experiences of queer people. Guyan demonstrates why it is important to understand, collect and analyse queer data, the benefits and challenges involved in doing so, and how we might better use queer data in our work. Arming us with the tools for action, this book shows how greater knowledge about queer identities is instrumental in informing decisions about resource allocation, changes to legislation, access to services, representation and visibility.
Summary Gnuplot in Action, Second Edition is a major revision of this popular and authoritative guide for developers, engineers, and scientists who want to learn and use gnuplot effectively. Fully updated for gnuplot version 5, the book includes four pages of color illustrations and four bonus appendixes available in the eBook. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Gnuplot is an open-source graphics program that helps you analyze, interpret, and present numerical data. Available for Unix, Mac, and Windows, it is well-maintained, mature, and totally free. About the Book Gnuplot in Action, Second Edition is a major revision of this authoritative guide for developers, engineers, and scientists. The book starts with a tutorial introduction, followed by a systematic overview of gnuplot's core features and full coverage of gnuplot's advanced capabilities. Experienced readers will appreciate the discussion of gnuplot 5's features, including new plot types, improved text and color handling, and support for interactive, web-based display formats. The book concludes with chapters on graphical effects and general techniques for understanding data with graphs. It includes four pages of color illustrations. 3D graphics, false-color plots, heatmaps, and multivariate visualizations are covered in chapter-length appendixes available in the eBook. What's Inside Creating different types of graphs in detail Animations, scripting, batch operations Extensive discussion of terminals Updated to cover gnuplot version 5 About the Reader No prior experience with gnuplot is required. This book concentrates on practical applications of gnuplot relevant to users of all levels. About the Author Philipp K. Janert, PhD, is a programmer and scientist. He is the author of several books on data analysis and applied math and has been a gnuplot power user and developer for over 20 years. Table of Contents PART 1 GETTING STARTED Prelude: understanding data with gnuplot Tutorial: essential gnuplot The heart of the matter: the plot command PART 2 CREATING GRAPHS Managing data sets and files Practical matters: strings, loops, and history A catalog of styles Decorations: labels, arrows, and explanations All about axes PART 3 MASTERING TECHNICALITIES Color, style, and appearance Terminals and output formats Automation, scripting, and animation Beyond the defaults: workflow and styles PART 4 UNDERSTANDING DATA Basic techniques of graphical analysis Topics in graphical analysis Coda: understanding data with graphs
Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics. You’ll learn how to: Use sensors to collect network, service, host, and active domain data Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect Detect unusual phenomena through exploratory data analysis (EDA), using visualization and mathematical techniques Analyze text data, traffic behavior, and communications mistakes Identify significant structures in your network with graph analysis Examine insider threat data and acquire threat intelligence Map your network and identify significant hosts within it Work with operations to develop defenses and analysis techniques
Readers will learn to understand the story behind the data and how to influence the people with a DataStory.
Data Warehousing in Action provides the tools to harness data and transform it into useful customized bytes of information. This book is a fully comprehensive account of how to proceed with the data warehouse project in a clear step-by-step fashion. It reviews the marketplace, the technology, the design issues, and the management issues. It includes real company experiences from research carried out in 30 countries. It focuses on the topics needed to design and implement a meaningful data warehousing architecture including: Identifying industrial applications for data warehouses; Frameworks for building a data warehouse; Choosing the right architecture and technologies; Outline methodologies for managing the project; and future proofing the design.· Planning the Data Warehouse· Integrating the Data--The Data Warehouse Infrastructure· Exploiting the Data--The Data Warehouse Applications· Looking to the Future--Next Generation Data Warehouse
What does it look like when a school uses data wisely? Data Wise in Action, a new companion and sequel to our bestselling Data Wise, tells the stories of eight very different schools following the Data Wise process of using assessment results to improve teaching and learning. Data Wise in Action highlights the leadership challenges schools face in each phase of the eight-step Data Wise cycle and illustrates how staff members use creativity and collaboration to overcome those challenges. Data Wise in Action builds on the work of leading faculty and graduate students at the Harvard Graduate School of Education, who joined with exemplary practitioners in 2005 to produce Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning. Since its publication, Data Wise has been read by thousands of school leaders, many of whom have shared the book with colleagues and staff. The success of the original book has generated a new demand among school leaders: to hear real stories from schools that are implementing the Data Wise process. Data Wise in Action answers that need. It offers both inspiration and practical guidance for school leaders.
′The clear intention of the authors is to motivate, persuade and give confidence to those who might otherwise think that research can only be carried out by teams of university staff′ - ESCalate Most Teaching Assistants (TAs) studying for Foundation Degrees need to do Action Research projects. This book acts as an introduction to research methods, and will be especially useful if you are doing such work for the first time. It: " introduces the basic principles and practice of research methods; " provides an overview of the processes involved in Action Research; " shows you how to identify an issue, design and carry out a course of action and evaluate the impact of this action; " uses real case studies from practising TAs. The content of the book relates to both Early Years and Primary settings, and there are case studies from a variety of settings. Anyone studying for a Foundation Degree, or working towards HLTA status, will find this book meets their needs. Claire Taylor is Programme Leader for the Foundation Degree at Bishop Grosseteste College, Lincoln. Min Wilkie is Programme Leader for the Foundation Degree in Educational Studies for Teaching Assistants at the University of Leicester. Judith Baser has worked in a wide range of educational settings, including 5 years as a teaching assistant. More recently, she has run training courses for teaching assistants in ways to support children′s learning and development.