The lure of big data and analytics has produced new partnerships between news media and social media and consequently a fragmentation of digital journalism. The era is coupled with the rise in fake news and controversial data sharing. However, creative mobile reporting and civilian drones set new standards for journalist during the European asylum seeker crisis. Yet the focus on data and remote cloud servers continues to dominate online news and journalism, alongside new semantic models for data personalization. News tags that define concepts within a news story to assist search, are now monetized abstractions in accelerated data processing that enables automation and feeds advertising. Can journalism compete with this by defining its own concepts with ethical values named and embedded in algorithms? Can machines make sense of the world in the same way as a traditional journalist? In this book, Cate Dowd analyzes the tasks and ethics of journalists and questions how intelligent machines could simulate ethical human behaviors to better understand the dizzy post-human world of online data. Looking to digital journalism and multi-platform news media, from studios and integrated media systems to mobile reporting in the field, Dowd assesses how data and digital technology has impacted on journalism over the past decade. Dowd's research is informed by in-depth participation with investigative journalists, including images drawn and annotated by industry experts to present key journalism concepts, priorities, and values. Chapters explore approaches for the elicitation of vocabulary for journalism and design methods to embed values and ethics into algorithms for the era of automation and big data. Digital Journalism, Drones, and Automation provides insights into the lasting values of journalism processes and equips readers interested in entering or understanding online data and news media with much needed context and wisdom.

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems.
You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.
* Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems.
* Helps you to understand the trade-offs implicit in various models and model architectures.
* Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction.
* Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model.
* In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem.
* Presents examples in C, C++, Java, and easy-to-understand pseudo-code.
* Extensive online component, including sample code and a complete data mining workbench.

Clustered configuration first hit the scene nearly 20 years ago when Digital Equipment Corporation (DEC) introduced the VaxCluster. Until now, the topic of Real Application Clusters (RAC) implementation had never been fully explored. For the first time, Murali Vallath dissects RAC mysteries in his book Oracle Real Application Clusters to enlighten and educate readers on the internals of RAC operations, cache fusion, fusion recovery processes and the fast reconfiguration of RAC.
This book provides comprehensive coverage of the features, technology and principles of RAC that is part of the Oracle9i release of Oracle's RDBMS product. It is divided into three main parts: application/database design, development and maintenance life cycles.
Compared to its predecessor OPS, the architecture behind RAC implementation have changed significantly. Vallath discusses Oracle9i features in a RAC implementation with respect to usage and design considerations, as well as those parameters that are and are not applicable. Areas covered include partitioning, indexes, tablespace management, transaction management, backup and recovery principles. Performance tuning with examples, troubleshooting and problem solving scenarios are covered in detail, as well as discussions on the migration process from a single instance database to RAC and migration from an OPS implementation to RAC.
Oracle Real Application Clusters takes readers through a logical flow from RAC concepts to operations, covering each facet with a fine-tooth comb. Vallath's skilled writing style makes each chapter entertaining and informative as only a true RAC connoisseur can provide. New and experienced users of RAC, as well as those seeking to expand their knowledge of this dynamic technology, will find this book to be a necessity for both home and office reference libraries.
*Focuses on implementing, testing and tuning features of Real Application Clusters (RAC)
*Provides extensive coverage of usage, day-to-day functions and operations
*Includes tips and techniques such as script samples to illustrate various features of RAC
*Unravels the internals of RAC architecture

Many faces of modern computing - from archiving data to coding theory to image processing ¿ rely heavily on data compression. This new and practical guide explains the process of compressing all types of computer data, as well as the use of significant methods and algorithms. Its purpose is to succinctly describe both the principles underlying the field of data compression and how to use the key methods effectively. A Guide to Data Compression Methods concentrates on general concepts and methods and describes them with a minimal amount of mathematical detail. It presents the main approaches to data compression, describes the most important algorithms, and includes straightforward examples. Statistical, dictionary, and wavelet methodologies are addressed in specific chapters, as well as image, video, and audio compression. The reader can expect to gain a basic understanding of the key algorithms and methods used to compress data for storage and transmission. Topics and features: ¿ All core methods are clearly explained with realistic examples, and some computer code is included ¿ Accessible presentation, with only minimum computer and mathematics technical background ¿ Discussion of wavelet methods and JPEG 2000 ¿ Appendix lists all algorithms presented in the book ¿ CD-ROM included compromising computer code from the book and extensive public-domain compression utility programs This book is an invaluable practical reference and guide for all practitioners and professionals in computer science, software engineering, and programming.

Protect your digital resources! This book addresses critical issues of preservation, giving you everything you need to effectively protect your resources-from dealing with obsolescence, to responsibilities, methods of preservation, cost, and metadata formats. It also gives examples of numerous national and international institutions that provide frameworks for digital libraries and archives. A long-overdue text for anyone involved in the preservation of digital information, this book is critical in understanding today's methods and practices, intellectual discourse, and preservation guidelines. A must for librarians, archiving professionals, faculty and students of library science, administrators, and corporate leaders!

Dieses Buch ist aus verschiedenen Vorlesungen der Autoren an den Universitaten Hamburg und Trier entstanden. Es bietet eine umfassende und aktuelle Darstellung des Themenbereichs "Theorie und Numerik restringierter Optimierungsaufgaben," die uber die bislang existierende Lehrbuchliteratur deutlich hinausgeht. Das Buch wendet sich in erster Linie an Studierende der Mathematik, der Wirtschaftsmathematik und der Technomathematik in mittleren und hoheren Semestern, sollte aber auch erfahrenen Mathematikern einen Zugang zur aktuellen Forschung und Anwendern einen Uberblick uber die vorhandenen Verfahren geben. Im Einzelnen werden folgende Themenkreise ausfuhrlich behandelt: Lineare Programme: Simplex-Verfahren und Innere-Punkte-Methoden, Optimalitatsbedingungen erster und zweiter Ordnung, nichtlineare restringierte Programme, nichtglatte Optimierung, Variationsungleichungen. Etwa 140 Ubungsaufgaben, teilweise mit ausfuhrlichen Losungshinweisen runden die Darstellung ab."

The researcher in computer content analysis is often faced with a paucity of guidance in conducting a study. Published exemplars of best practice in computer content analysis are rare, and computer content analysis seems to have developed independently in a number of disciplines, with researchers in one field often unaware of new and innovative techniques developed by researchers in other areas. This volume contains numerous articles illustrating the current state of the art of computer content analysis. Research is presented by scholars in political science, natural resource management, mass communication, marketing, education, and other fields, with the aim of providing exemplars for further research on the computer analysis and understanding of textual materials.

The studies presented in "Applications of Computer Content Analysis" offer a varied spectrum of exemplary studies, Researchers can, due to the breadth of the studies presented here, find methodological, theoretical, and practical suggestions which will significantly ease the process of creating new research--and will significantly reduce the duplication of effort which has, until now, plagued computer content analytic research. Intended for an audience of graduate students, scholars, and in-field practitioners, this will serve as an invaluable resource, full of useful examples, for those interesting in using computers to analyze newspapers articles, emails, mediated communication, or any other sort of digital communication.

Learn from a SQL Server performance authority how to make your database run at lightning speed.
Ken England's SQL Server 6.5 Performance Optimization and Tuning Handbook is recognized by SQL Server administrators as the indispensable guide to tuning and optimization. Now he's revised the book for Microsoft's new SQL Server 2000, the most advanced and powerful version yet of SQL Server, which takes full advantage of Windows 2000's new processing capabilities. The book details the factors that determine database performance and offers readers tools, techniques and best practices they can use to tweak and tune SQL Server's configuration and operation. Readers will learn how to enhance performance through good physical design and effective internal storage structures. The book spells out methods for creating efficient indexes and techniques for tuning SQL Server's new query optimizer.

A new edition of the authoritative and bestselling guide, SQL Server 6.5 Performance Optimization and Tuning Handbook, 1555581803Targets SQL Server 2000Helps IT professionals run SQL Server more powerfully and efficiently and optimize it for e-commerce and knowledge management

Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, and other products, details the Microsoft OLE DB for Data Mining standard, and gives readers best practices for using all of them. The book bridges the previously specialized field of data mining with the new technologies and methods that are quickly making it an important mainstream tool for companies of all sizes.
Data mining refers to a set of technologies and techniques by which IT professionals search large databases of information (such as those contained by SQL Server) for patterns and trends. Traditionally important in finance, telecommunication, and other information-intensive fields, data mining increasingly helps companies better understand and serve their customers by revealing buying patterns and related interests. It is becoming a foundation for e-commerce and knowledge management.
Unique book on a hot data management topic
Part of Digital Press's SQL Server and data mining clusters
Author is an expert on both traditional and Microsoft data mining technologies

Data warehousing is revolutionizing the way businesses in a wide variety of industries perform analysis and make strategic decisions. This volume offers IT professionals comprehensive coverage of every significant topic in data warehousing systems.

The author provides a complete overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals will gain a clear understanding of techniques for extraction of data from source systems, data transformations, data staging, data warehouse architecture and infrastructure, and the various methods for information delivery.

Data Warehousing Fundamentals includes review questions and exercises appropriate for self-study or classroom work, industry examples applicable to real-world situations, and an appendix containing valuable guidelines for evaluating vendor solutions. Specifically written for professionals designing, implementing, or maintaining data warehousing systems, this practical book spans the entire landscape of the subject.

At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, "Data Warehousing: Using the Wal-Mart Model" gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way.

What further sets this book apart is its focus on the informational needs of retail companies-including both market and organizational issues that affect the data's collection and use. If retail is your field, this book will prove especially valuable as you develop and implement your company's ideal data warehouse solution.
* Written by a member of the team of four engineers who designed and built the Wal-Mart Data Warehouse database, a team whose database design was recognized internally in 1991 by Wal-Mart with the company's Team Innovational Technical award.
* Provides essential information for project managers, consultants, data warehouse managers, and data architects.
* Takes an in-depth look at a wide range of technical issues, including architecture, construction approaches, tool selection, database system selection, and maintenance.
* Addresses issues specific to retail business: vendors, inventory, sales analysis, geography, article categories, and more.
* Explains how to determine business requirements at the outset of the project-and how to develop return on investment analyses after the warehouse has been brought online.

Do you need an introductory book on data and databases? If the book is by Joe Celko, the answer is yes. "Data and Databases: Concepts in Practice" is the first introduction to relational database technology written especially for practicing IT professionals. If you work mostly outside the database world, this book will ground you in the concepts and overall framework you must master if your data-intensive projects are to be successful. If you're already an experienced database programmer, administrator, analyst, or user, it will let you take a step back from your work and examine the founding principles on which you rely every day-helping you to work smarter, faster, and problem-free.

Whatever your field or level of expertise, Data and Databases offers you the depth and breadth of vision for which Celko is famous. No one knows the topic as well as he, and no one conveys this knowledge as clearly, as effectively-or as engagingly. Filled with absorbing war stories and no-holds-barred commentary, this is a book you'll pick up again and again, both for the information it holds and for the distinctive style that marks it as genuine Celko.
* Supports its extensive conceptual information with example code and other practical illustrations.
* Explains fundamental issues such as the nature of data and data modeling, and moves to more specific technical questions such as scales, measurements, and encoding.
* Offers fresh, engaging approaches to basic and not-so-basic issues of database programming, including data entities, relationships and values, data structures, set operations, numeric data, character string data, logical data and operations, and missing data among others.
* Covers the conceptual foundations of modern RDBMS technology, making it an ideal choice for students.

Whether building a relational, object-relational, or object-oriented database, database developers are increasingly relying on an object-oriented design approach as the best way to meet user needs and performance criteria. This book teaches you how to use the Unified Modeling Language-the official standard of the Object Management Group-to develop and implement the best possible design for your database.

Inside, the author leads you step by step through the design process, from requirements analysis to schema generation. You'll learn to express stakeholder needs in UML use cases and actor diagrams, to translate UML entities into database components, and to transform the resulting design into relational, object-relational, and object-oriented schemas for all major DBMS products.
* Teaches you everything you need to know to design, build, and test databases using an OO model.
* Shows you how to use UML, the accepted standard for database design according to OO principles.
* Explains how to transform your design into a conceptual schema for relational, object-relational, and object-oriented DBMSs.
* Offers practical examples of design for Oracle, SQL Server, Sybase, Informix, Object Design, POET, and other database management systems.
* Focuses heavily on re-using design patterns for maximum productivity and teaches you how to certify completed designs for re-use.

This is an introductory textbook in data analysis and statistics, designed for students in the first year of a social sciences degree. The key concepts of data analysis are explained in a clear and straightforward manner, avoiding unnecessary jargon. Very little mathematical knowledge is assumed on the part of the reader, and a variety of examples are used to illustrate the ideas and techniques.

One of the central aims of the text is to ensure that students understand the basic principles of exploratory data analysis before they become involved in manipulating large quantities of data. Hence the author generally uses small data sets to introduce the key concepts, and gradually moves towards the handling of larger data sets.

The text uses the Minitab computer analysis package, which is one of the most popular statistical packages available in institutions of higher and further education. Students are told how to use the package before they are introduced to the ideas of methods of data analysis.

This clear, jargon-free textbook will be an invaluable aid for students beginning courses in the social sciences and related fields, such as social policy, business studies and health care.

This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as self-contained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes.

Algorithmen werden von Grundprinzipien bis Implementierungsdetails genau besprochen Verstandlichkeit und Anschaulichkeit mit Schritt-fur-Schritt-Anleitungen Praxisorientierte und verstandlichen Darstellung der Arbeitsweise von Algorithmen Umfangreiche praktische Beispiele aus dem Ingenieuralltag

Ein wichtiges Thema der Wirtschaftsinformatik von Fachhochschulprofessoren praxisnah aufbereitet. Welches sind die Aufgabenstellungen und Handlungsfelder des IT-Managements? Das Buch zeigt die Grundlagen, Tatigkeitsfelder und wesentlichen Handlungsschritte. Es illustriert die erforderlichen Massnahmen anhand von ausgewahlten Beispielen aus der betrieblichen Praxis (Best Practices). Die 2. Auflage wurde u. a. um die Themen "Risk IT", "IT-Compliance", "Software-as-a-Service", "PRINCE2", "Green IT" und "IT-Industrialisierung" erweitert und viele Themen wurden uberarbeitet. Der Leser erhalt so einen wertvollen Orientierungsrahmen fur die Ausgestaltung des Aufgabenspektrums von IT-Managern. Erganzend steht ein Online-Service zur Aktualisierung der Best Practices zur Verfugung.

Anhand einer verstandlichen und ansprechenden Anwendung aus dem Bereich der Tinnitusforschung werden wiederkehrende Problemstellungen und Muster im Bereich mobiler App-Entwicklung analysiert und diskutiert. Dazu erlautern die Autoren die Programmierkonzepte, Techniken, Frameworks und Mechanismen, welche fur die Umsetzung dieser Musteranwendung relevant sind. Der Leser soll weitreichende Einblicke und Analysemethoden an die Hand bekommen, um Projekte zur Entwicklung mobiler Apps besser und effektiver durchfuhren zu koennen. Das Buch dient somit als wichtige Entscheidungshilfe fur die Realisierung mobiler Anwendungen, die entweder eigenstandig oder in Verbindung mit Fremdsystemen entwickelt werden mussen und die zudem aktuelle Techniken verwenden sollen. Dazu wird die Anwendung beispielhaft mit einem mobilen Framework entwickelt. Weitere Frameworks werden mitdiskutiert. So entsteht Schritt fur Schritt die Anwendung und die einzelnen architektonischen Bausteine werden eingefuhrt und didaktisch aufbereitet. Erganzend wird auf spezielle Paradigmen eingegangen, die den Frameworks zugrunde liegen.

Das Buch bietet einen umfassenden UEberblick uber die Anwendung und Implementierung von Business-Intelligence-Loesungen im Personalmanagement. Business-Intelligence-Systeme finden als Analyse- und Planungssysteme verbreitete Anwendung in vielfaltigen Unternehmensbereichen wie Vertrieb/Customer Relationship Management, Logistik/Supply Chain Management sowie Personalmanagement. Daher beschaftigt sich Autoren und Herausgeber intensiv mit der Anwendung von Business-Intelligence-Systemen im Personalmanagement und geben einen ausfuhrlichen systematischen Einblick in entsprechende grundlegende technologische Konzepte und personalwirtschaftliche Anforderungen. Ziel des Buches ist daher eine spezifisch auf die Anwendungsdomane Personalmanagement ausgerichtete Ausarbeitung der Business-Intelligence-Konzeption in technischer und fachlicher Hinsicht.

Das vorliegende Lehrbuch vermittelt den Umgang mit dem Advanced Planner and Optimizer (APO) der SAP AG anhand eines durchgehenden Fallbeispiels. In Ubungen wird die betriebswirtschaftliche Theorie IT-seitig veranschaulicht.

Das vorliegende Lehrbuch basiert auf einer mehrjahrigen Lehr- sowie Beratungstatigkeit und fuhrt die Studierenden uber das fiktive Unternehmen IDES, das von der SAP AG in Schulungssystemen sowohl fur den Bereich Enterprise Resource Planning (ERP) als auch fur den APO abgebildet wurde, Schritt fur Schritt durch die Anwendung.

Von der Ubertragung der Stamm- und Bewegungsdaten zwischen dem ERP- und dem APO-System uber die Konfiguration eines uberschaubaren Supply Networks, die Erstellung einer Planungsmappe mit unterschiedlichen Zeitreihenverfahren fur die Absatzplanung bis zur Erzeugung von SNP- und Produktionsauftragen werden alle wichtigen Themen ausfuhrlich mit Ubungen behandelt.

Dozentinnen und Dozenten konnen auf Basis des Lehrbuchs ihre Lehrveranstaltung im SAP APO gestalten."

In diesem Lehrbuch werden die mathematischen Grundlagen exakt und dennoch anschaulich und gut nachvollziehbar vermittelt. Sie werden durchgehend anhand zahlreicher Musterbeispiele illustriert, durch Anwendungen in der Informatik motiviert und durch historische Hintergrunde oder Ausblicke in angrenzende Themengebiete aufgelockert. Am Ende jedes Kapitels befinden sich Kontrollfragen, die das Verstandnis testen und typische Fehler bzw. Missverstandnisse ausraumen. Zusatzlich helfen zahlreiche Aufwarmubungen (mit vollstandigem Loesungsweg) und weiterfuhrende UEbungsaufgaben das Erlernte zu festigen und praxisrelevant umzusetzen. Dieses Lehrbuch ist daher auch sehr gut zum Selbststudium geeignet. Erganzend wird in eigenen Abschnitten das Computeralgebrasystem Mathematica vorgestellt und eingesetzt, wodurch der Lehrstoff visualisiert und somit das Verstandnis erleichtert werden kann.