Suchergebnisse

"This book explores various social networking platforms and the technologies being utilized to gather and analyze information being posted to these venues, highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture"--

Digital Textile Design, Second Edition covers everything students and practitioners of textile design will need to learn about designing and printing digitally. Written specifically for textile designers, Digital Textile Design, Second Edition provides the know-how for students and professionals who wish to use Adobe Photoshop and Illustrator as design tools. A series of inspirational tutorials, presented in step-by-step format, guide the reader through the process of creating designs that will be suited to both the traditional textile production process and to digital printing onto fabric.The book examines how designers can access the techniques of digital textile printing, looking at the work of those currently exploring its possibilities, and provides an insight into the technology involved. With a stunning new design, this edition has been updated in line with the latest developments in Adobe Creative Suite and contains new images throughout.

This book targets business and IT professionals who need an introduction to business intelligence and data warehousing fundamentals through a simple question / answer format. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, trends, etc

Theoretical and practical foundations of liquidity-adjusted value-at-risk (lvar) : optimization algorithms for portfolios selection and management / Mazin A. M. Al Janabi -- Financial analysis for mobile and cloud applications / Jennifer Brodmann and Makeen Huda -- Eye movement study of customers on video advertising marketing / Xiaolong Liu, Ruoqi Liang -- An optimization algorithm and smart model for periodic capacitated arc routing problem considering mobile disposal sites / Erfan Babaee Tirkolaee, Ali Asghar Rahmani Hosseinabadi -- Whale optimization based opinion mining analysis of e-commerce site with fuzzy clustering / K. Shankar, M. Ilayaraja, P. Deepalakshmi, S. Ramkumar, K. Sathesh Kumar, S. K.Lakshmanaprabu, Andino Maseleno -- Big data text mining in financial sector / Mirjana Pejic Bach, ivko Krstic, Sanja Seljan -- Cel: citizen economic level using SAW / Andino Maseleno, K. Shankar, Prayugo Khoir, Muhammad Muslihudin -- The investment opportunities for building smartphone applications for tourist cities in Saudi Arabia : the case of abha city / Dr. Saeed Q. Al-Khalidi Al-Maliki, Dr. Mohammed A. Al-Ghobiri -- An applied credit scoring model / Esther Castro, M. Kabir Hassan, Mark Rosa -- Intelligent distributed applications in e-commerce and e-banking / Jennifer Brodmann and Phuvadon Wuthisatian -- Feature selection-based data classification for stock price prediction using Ant Miner algorithm / Saravanan Ramalingam, Pothula Sujatha -- The value of simulations characterizing classes of symbiosis : ABCs of formulation design / K. Basaid, B. Chebli, J.N. Furze, E.H. Mayad and R. Bouharroud -- Application of project scheduling in production process for paddy cleaning machine by using Pert & CPM techniques: case study / S. Bangphan, P.Bangphan and S. Phanphet -- The managing of deep learning algorithms to enhance momentum trading strategies during the time frame to quick detect market of smart money / Khalid Abouloula, Ali Ou-Yassine and Salah-ddine Krit -- Pattern to build a robust trend indicator for automated trading / Khalid Abouloula, Ali Ou-Yassine and Salah-ddine Krit -- Index.

DATA AND METHODOLOGICAL ISSUES FOR TRACKING FORMER WELFARE RECIPIENTS: A WORKSHOP SUMMARY -- Copyright -- Acknowledgments -- Contents -- INTRODUCTION -- PURPOSE OF THE WORKSHOP -- PURPOSE OF THE WELFARE LEAVER STUDIES -- POLICY QUESTIONS OF INTEREST -- CHILD OUTCOMES -- FAMILY STRUCTURE AND FAMILY FORMATION OUTCOMES -- OTHER OUTCOMES -- POPULATIONS OF INTEREST -- EVALUATION METHODOLOGIES -- DATA ISSUES FOR TRACKING WELFARE LEAVERS -- OVERALL DATA ISSUES -- Who Does the Sample Population Represent? -- Tools -- ADMINISTRATIVE DATA -- SURVEY DATA -- Survey Design and Implementation -- Response Rates -- Recall Concerns -- CONCLUSION -- References -- Appendix A Workshop Agenda -- WORKSHOP ON EVALUATING STATE WELFARE REFORM PROGRAMS: METHODS AND DATA -- Friday, November 13 -- Appendix B Workshop Participants -- Members, Panel on Data and Methods for Measuring the Effects of Changes in Social Welfare Programs -- State and County Awardee Representatives -- Invited Guests -- Staff, Committee on National Statistics.

Technological advances of recent years have changed the way research is done. When describing complex phenomena, it is now possible to measure and model a myriad of different aspects pertaining to them. This increasing number of variables, however, poses significant challenges for the visual analysis and interpretation of such multivariate data. Yet, the effective visualization of structures in multivariate data is of paramount importance for building models, forming hypotheses, and understanding intrinsic properties of the underlying phenomena. This thesis provides novel visualization techniques that advance the field of multivariate visual data analysis by helping represent and comprehend the structure of high-dimensional data. In contrast to approaches that focus on visualizing multivariate data directly or by means of their geometrical features, the methods developed in this thesis focus on their topological properties. More precisely, these methods provide structural descriptions that are driven by persistent homology, a technique from the emerging field of computational topology. Such descriptions are developed in two separate parts of this thesis. The first part deals with the qualitative visualization of topological features in multivariate data. It presents novel visualization methods that directly depict topological information, thus permitting the comparison of structural features in a qualitative manner. The techniques described in this part serve as low-dimensional representations that make the otherwise high-dimensional topological features accessible. We show how to integrate them into data analysis workflows based on clustering in order to obtain more information about the underlying data. The efficacy of such combined workflows is demonstrated by analysing complex multivariate data sets from cultural heritage and political science, for example, whose structures are hidden to common visualization techniques. The second part of this thesis is concerned with the quantitative visualization of topological features. It describes novel methods that measure different aspects of multivariate data in order to provide quantifiable information about them. Here, the topological characteristics serve as a feature descriptor. Using these descriptors, the visualization techniques in this part focus on augmenting and improving existing data analysis processes. Among others, they deal with the visualization of high-dimensional regression models, the visualization of errors in embeddings of multivariate data, as well as the assessment and visualization of the results of different clustering algorithms. All the methods presented in this thesis are evaluated and analysed on different data sets in order to show their robustness. This thesis demonstrates that the combination of geometrical and topological methods may support, complement, and surpass existing approaches for multivariate visual data analysis.

The integrity of democratic elections, both in the United States and abroad, is an important problem. In this Element, we present a data-driven approach that evaluates the performance of the administration of a democratic election, before, during, and after Election Day. We show that this data-driven method can help to improve confidence in the integrity of American elections.

Preliminaries -- Getting started with JMP -- Data tables, reports, and scripts -- Formula editor -- What are statistics? -- Simulations -- Univariate distributions : one variable, one sample -- The difference between two means -- Comparing many means : one-way analysis of variance -- Fitting curves through points : regression -- Categorical distributions -- Categorical models -- Multiple regression -- Fitting linear models -- Design of experiments -- Bivariate and multivariate relationships -- Exploratory modeling -- Control charts and capability -- Mechanics of statistics

Considering that the maritime logistics is by volume and financial value the largest logistics sector
enabling global trade, the number of supply chains is constantly growing, as well as the number of
supply chain stakeholders. Due to the large number of stakeholders in the supply chains, the volume
of generated data is enormous. Therefore, it is necessary to implement modern and intelligent
solutions for processing and storing the data. One possible solution for processing and storing the
data in maritime logistics is cloud computing. There are different approaches to implementing cloud
computing in maritime logistics. In this paper, the authors present a detailed structure of the maritime
cloud and compare it with the legacy systems. Finally, the advantages and challenges arising from the
implementation of cloud computing in maritime logistics are analyzed.

Life and health insurance companies face a difficult decade because of image problems, growing government regulation of health care, and fierce competition. Global demographic trends suggest that successful United States' companies will have to compete for employees as aggressively as they do for customers. In light of these developments some insurance companies and other labor-intensive, data processing organizations have established offshore facilities in Ireland. There, the English-speaking work force is well-educated and abundant, turnover is low, and a stable, business-friendly government offers a host of attractive investment incentives. The first section of the paper explores the competitive environment driving the health insurance industry's increasing need to cut administrative costs. Two technological initiatives are introduced, electronic media claims and front-end data entry. The second section discusses offshore data processing in depth, with specific focus on industry experience in Ireland. The author sets out a model proposal based on an actual, mid-sized life and health insurance organization-General American. It is against this model that later information is tested for implications and strategic compatibility. The third section of the paper presents a comparative analysis of the political, social, technological and economic environment in Ireland. Attention is given to measurable indicators favoring foreign investment in that country, e.g., return on investment, salary scales, labor availability, educational levels, and government incentives. Next, the author analyzes four possible scenarios that General American could use to establish a front-end data entry operation in Ireland. The implications, advantages, and disadvantages of each alternative are covered. The thesis closes with a discussion of the suitability and fit of the proposed Irish venture to General American's present strategic environment. The author concludes that although Ireland appears to be an ideal location for offshore ...