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This book explores various aspects of software creation and development as well as data and information processing. It covers relevant;
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Building on the authors' previous work, this book addresses key processes and procedures used in informationdata processing and management;
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Customer-Centric Knowledge Management: Concepts and Applications is a comprehensive collection addressing managerial and technical aspects;
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leverage BPM-based software and process-centric architecture (PCA) to create software systems that enable essential business processes. Reflecting;
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leverage BPM-based software and process-centric architecture (PCA) to create software systems that enable essential business processes. Reflecting;
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been on data-centric settings, i.e., XML documents with strict and regular structure. However, this disregards many important settings that;
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Security and Resilience in Intelligent Data-Centric Systems and Communication Networks presents current, state-of-the-art work on novel;
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challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such;
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paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from;
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The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact;
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of informationdata processing and transmission. It also discusses the development of more intelligent and efficient communication technologies, which;
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replace the traditional data-centric paradigm for Enterprise Systems (ES)--ES should be reengineered from the present data-centric enterprise;
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data protection must be addressed. Advancing Consumer-Centric Fog Computing Architectures is a collection of innovative research on the;
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the specification of data-centric applications. The proposed artifact model is based on active documents and captures: their state, evolution;
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Management and Social Software (BPMS2 2012), Data- and Artifact-Centric BPM (DAB 2012), Event-Driven Business Process Management (edBPM 2012;
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This book addresses the challenges and opportunities of informationdata processing and management. It also covers a range of methods;
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selected from 180 submissions. The papers are organized in the following topical sections: advanced big data, machine learning and data mining;
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2014), Business Processes in Collective Adaptive Systems (BPCAS 2014), Data- and Artifact-centric BPM (DAB 2014), Business Process Intelligence;
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-of-knowledge in managing and enhancing customer value through extraction of consumer-centric knowledge from mountains of data that modern interactive;
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Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW;
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Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW;
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applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models;
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administrators build data-centric business applications for the desktop, cloud, and Web in just a few clicks, with no code required. The basics are very;
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Use policies and Cisco (R) ACI to make data centers more flexible and configurable-and deliver far more business value Using the policy;
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Put your organization's data to work with Business Connectivity Services in SharePoint 2010-and build valuable business solutions. Led by a;
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, and MegaStat for Excel. The new 15th edition puts more emphasis on the interpretation of data and results and supports Lind's student-centric;
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Practical and informal, this manual clearly defines Master Data Management (MDM), a set of processes and tools that consistently define and;
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