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Digital analytics for marketing
Provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Also demonstrates how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. It overs timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box.
Difficult Decisions in Thoracic Surgery : An Evidence-Based Approach
Brief chapters are devoted to a specific question or decision in general thoracic surgery that is difficult or controversial. Although some of the content may be available in major thoracic texts, rarely are such questions posed specifically and analyzed according to the level of supporting evidence available. This book is unique in aiming to address the issues in the most clear and informed manner possible; the chapters contain both evidence-based recommendations and descriptions of surgeons’ personal practices based on their experience and the published literature. Chapters are organized around clearly identified recommendations. This provides uniformity to the presentations, making possible the identification of useful material at a glance. A general introduction describes evidence-based data and their use, decision analytic models, and how both physicians and patients make decisions currently. Over 50 different topics are then presented, including a review of available evidence and a general discussion of recommended practice.
Differential Undercounts in the U.S. Census : Who is Missed?
This book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.
Diagrammatic Representation and Inference ; 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings
This book constitutes the refereed proceedings of the 11th International Conference on the Theory and Application of Diagrams, Diagrams 2020, held in Tallinn, Estonia, in August 2020.* The 20 full papers and 16 short papers presented together with 18 posters were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: diagrams in mathematics; diagram design, principles, and classification; reasoning with diagrams; Euler and Venn diagrams; empirical studies and cognition; logic and diagrams; and posters.
Diagnostic Imaging in Head and Neck Cancer
This succinct compendium focuses on the key practical aspects of head and neck cancer imaging. It also provides essential information on handling and analyzing imaging data. Head and neck cancer is the sixth most common cancer worldwide. CT and MRI imaging are absolutely crucial to accurate diagnosis and staging, and radiologists have to be especially familiar with the anatomy of that region of the body. In addition, they must be highly proficient in interpreting radiographic images in order to judge the patterns of metastasis, response to treatment, and the signs and patterns of recurrence. This concise but detailed book describes the latest imaging modalities for all types of head and neck cancer diagnosis in light of recent technological advances. Featuring abundant high-quality images supplemented by advice from experts on the management of each cancer, it is a valuable resource for diagnostic and general radiologists, as well as all medical staff involved in the management of head and neck cancers.
Diagnosis of Process Nonlinearities and Valve Stiction : Data Driven Approaches
In this book, Higher Order Statistical (HOS) theory is used to develop indices for detecting and quantifying signal non-Gaussianity and nonlinearity. These indices, together with specific patterns in the mapping of process output and controller output are used to diagnose the causes of poor control loop performance.
Diabetic Kidney Disease
Presents the latest information on the clinical-pathological features of diabetic kidney disease. The data included is based on a cohort study of biopsy-proven diabetic nephropathy patients and nephrosclerosis patients, who were observed over a long term, and on the long-term registry for diabetic nephropathy (diabetic kidney disease) in Japan. It provides a clinical-pathological axis in clinical settings, including differential pathological/clinical diagnoses of CKD in diabetic patients (e.g. the presence of “classic” diabetic nephropathy and/or nephrosclerosis and/or other primary kidney diseases). The abundant biopsy specimens with long-term medical records provide a detailed pathological and clinical description. The book also includes urine-sample data for developing and validating possible candidates for novel biomarkers for diabetic kidney disease. Many countries, including Japan, have ageing populations, in which nephrosclerosis contributes to the progression of kidney lesions in patients with diabetic kidney disease. As such, a comparison of a diabetic nephropathy cohort with nephrosclerosis is indispensable to offer better treatments.
Developments in spatial data handling ; 11th International Symposium on Spatial Data Handling
The International Symposium on Spatial Data Handling is the premier research forum for Geographic Information Science. The papers published in this volume are carefully refereed by an international programme committee composed of experts in various areas of GIS who are especially renowned for their scientific innovation.
Developments in demographic forecasting
This book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided.
Development of linguistic linked open data resources for collaborative data-Intensive research in the language sciences
This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences.
Developing bus management system for AIU
To solve the problem of congestion in bus stops for students, members of the administrative and educational people at the Arab International University, an application was designed that allows the user to reserve a seat on the bus. The application provides prior reservation and enters the study time for the user, the application reminds him for the time of his going to the university. The basic functions of the application are designed according to the general analysis, The development of the application used Laravel, flutter frameworks, AI and MySQL database processing technology. The application has accomplished such functions as notification for location. The test of the application is running in good conditions. The use of the application will solve the problem of bus crowding. The efficiency of the platform makes it a very good candidate to be implemented for any person in Arab International University.
Developing a distributed medical system
Our project is a distributed medical system that is used by patients and multiple medical sectors such as doctors, pharmacists, analysis labs, hospitals, and medical insurance companies. The aim of the project is to add and store all the patient’s medical data in our system, such as previous treatments and past medical records from previous doctors, previous prescriptions and older lab test’s results, in addition, the insurance companies will have the ability to check on the medical treatment of its customers to do the necessary procedures needed for the them to perform their work. All of our actors are working in a secure and synchronized system in order to provide the best medical results possible, each actor has its own transactions to do in our system and can only manage and access the data allowed for him to perform his required job.
Deterministic and statistical methods in Machine Learning ; 1st International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures
This book consitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004. The 19 revised full papers presented were carefully reviewed and selected for inclusion in the book. They address all current issues in the rapidly maturing field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling. The particular focus of the workshop was advanced research methods in machine learning and statistical signal processing.
Determinants of audit fees : Evidence from Syria
Examines different factors that determine the value of audit fees in Syria. We test the impact of many factors related to audit firm as (audit report type, auditor type, audit firm market share and audit firm rotation) and factors related to client of audit firm (type, size, age and profitability) on the amounts of audit fees. To achieve that goal, the study depends on a practical study ; by extracting an actual data of the 24 companies listed at Damascus Securities Exchange (DSE) for the years 2016-2022. The extracted data were then analyzed by SPSS using descriptive statistics, simple linear regression test, and ANOVA test to examine the research hypothesis.
Detection of intrusions and malware, and vulnerability assessment ; 5th International Conference, DIMVA 2008, Paris, France, July 10-11, 2008. Proceedings
This book constitutes the refereed proceedings of the 5th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2008, held in Paris, France in July 2008.
Detection of intrusions and malware, and vulnerability assessment ; 3rd International Conference, DIMVA 2006, Berlin, Germany, July 13-14, 2006, Proceedings
This book constitutes the refereed proceedings of the Third International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2006, held in Berlin, Germany in July 2006.The 11 revised full papers presented were carefully reviewed and selected from 41 submissions.
Detection of intrusions and malware, and vulnerability assessment ; 17th International Conference, DIMVA 2020, Lisbon, Portugal, June 24–26, 2020, Proceedings
This book constitutes the proceedings of the 17th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2020, held in Lisbon, Portugal, in June 2020.* The 13 full papers presented in this volume were carefully reviewed and selected from 45 submissions. The contributions were organized in topical sections named: vulnerability discovery and analysis; attacks; web security; and detection and containment.
Designing sustainable and resilient cities : Small interventions for stronger urban food-water-energy management
Explores the link between the food-water-energy nexus and sustainability, and the extraordinary value that small tweaks to this nexus can achieve for more resilient cities and communities. Using data from Urban Living Labs in six participating cities (Eindhoven, Gdansk, Miami, Southend-on-Sea, Taipei and Uppsala) to co-define context-specific challenges, the results from each city are collated into an Integrated Decision Support System to guide and improve robust decision making on future urban development. The book presents contributions from CRUNCH, a transdisciplinary team of scholars and practitioners whose expertise spans urban climate modelling; food, water and energy management; the design of resilient public space; collecting better urban data; and the development of smart city technology. Whilst previous works on the food-water-energy nexus have focused on large, transnational cases, this book explores local ways to use the food-water-energy nexus to improve urban resilience.
Designing smart homes : The role of artificial intelligence
The area of smart homes is fast developing as an emergent area which attracts the synergy of several areas of science. This volume offers a collection of contributions addressing how artificial intelligence (AI), one of the core areas of computer science, can bring the growing area of smart homes to a higher level of functionality where homes can truly realize the long standing dream of proactively helping their inhabitants in an intelligent way.
Designing machine learning systems : An iterative process for production-ready applications
Machine learning systems are both complex and unique. Each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. The book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
