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about the subject in a way that is approachable, practical, and immediately useful. Building and Managing the Meta Data Repository: A Full;
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and audio data retrieval where by audio can be queried both by its low- and high-level features. The proposed generic audio repository model;
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This book presents an approach to discover the corporate Enterprise Architecture by collecting and building an information repository that;
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describes a structural and operational framework for managing a financial risk data repository. As experience accumulates on managing modern risk;
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Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has;
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anecdote or opinion. Top management author Stephen P. Robbins has distilled thousands of research studies, meta-analyses, and Big Data;
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dealing with bias Developing of SAS-based table-driven environment allows managing all meta-data related to the proposed AI framework and creating;
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dealing with bias Developing of SAS-based table-driven environment allows managing all meta-data related to the proposed AI framework and creating;
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Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis With;
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Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis;
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Design and create functional applications that interact with remote data sources. You get a thorough introduction to the latest Flash;
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, multidimensional data sets, provides concrete tools for designing, building, managing, and using dimensional data warehouses for different types;
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meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What's New in the;
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meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What's New in the;
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Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;
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from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with;
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from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with;
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selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language;
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issues involved in collaborative tools, etc.). The book also presents case studies for data factoring and processing that can lead to building;
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around the globe in these fields and relative topics such as: cognitive finance, data mining of the Indian mineral industry, managing building;
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A trustworthy repository provides assurance in the form of management documents, event logs, and audit trails that digital objects are;
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A trustworthy repository provides assurance in the form of management documents, event logs, and audit trails that digital objects are;
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, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to;
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Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental;
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the information you need in one place-no flipping pages! Improve your Excel skills with just the steps for entering spreadsheet data, building;
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for evidence-based medicine. Articles in this issue examine the strengths and limitations of meta-analysis in infectious diseases, the use;
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Building Information Modeling (BIM) is the process of generating and managing building data during a building's lifecycle. Today, more and;
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