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Multi-Domain Master Data Management
Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners;
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Multi-Domain Communication Management Systems
Among the leading challenges faced by systems managers today is the coherent management of network resources in a multi-domain, multi;
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Learning Representation for Multi-View Data Analysis
classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete;
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Construction of a master data management strategy. Methodologies and tools
Construction of a Master Data Management Strategy. Methodologies and Tools;
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The Tokens of Esteem
include decentralized monitoring and anomaly detection, management components and multi-domain management, and the future of SNMP-based management.;
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Master Data Management In Practice
In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to;
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Advanced Data Management
Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud;
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Enterprise Master Data Management
face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are;
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Materials Management with SAP ERP: Functionality and Technical Configuration
procurement types. Dive into master data and other configuration tasks to ensure your MM system is optimized for your logistics needs! Materials;
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Enterprise Data Management with SAP NetWeaver MDM
Learn how to effectively manage your enterprise's master data with SAP NetWeaver Master Data Management (MDM). With this book, you'll find;
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Master Data Management
ownership of the data that the initiative will affect.Master Data Management equips you with a deeply practical, business-focused way;
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Multiple-Aspect Analysis of Semantic Trajectories
data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.;
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Modeling Audio Data for Multi-criteria Query Formulation
new demands in audio data management and retrieval. However, modeling and retrieval techniques are not adequate, and handling audio data;
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SAP Material Master
Forecasting Screeno Work scheduling Screeno Personal experience Inventory Management o Inventory management in the material master o Plant data;
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Materials Management with SAP S4HANA Business Processes and Configuration
Get MM on SAP S/4HANA! Set up the master data your system needs to run its material management processes. Learn how to define material;
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Knowledge Discovery in Proteomics
Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality;
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Knowledge Discovery in Proteomics
Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality;
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Principles of Data Management
databases and includes material on the management of master data.;
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Modern Data Strategy
, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how;
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The Use of Data in School Counseling
dozens of tools, templates, surveys, action plans, and data management forms Equip yourself to think and plan differently, and become more;
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Economic Modeling Using Artificial Intelligence Methods
modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural;
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BIM and Urban Land Administration
of complex ownership rights in multi-story buildings, which are prevalent in urban built environments. This book first elaborates on a range of data;
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BIM and Urban Land Administration
of complex ownership rights in multi-story buildings, which are prevalent in urban built environments. This book first elaborates on a range of data;
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Applications of Management Science
of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment;
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Warehouse Management with SAP EWM
EWM setup: defining organizational structures, working with master data, and configuring settings. Then move on to business processes: goods;
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Retail and Channel Marketing
' and the manufacturers' perspectives. Retail trends, marketing and innovation, e-commerce, channel marketing and multi-channel management, are;
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