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New Trends in Data Warehousing and Data Analysis

different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent;

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Data Warehousing and Knowledge Discovery

abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount;

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Intelligent Data Warehousing

, and Part III explores data analysis and knowledge discovery in the data warehousing environment, including how to perform intelligent data;

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Professional SQL Server 2000 Data Warehousing with Analysis Services

significant extension to the robust OLAP functionality of SQL 7.0 and provide a complete, end-to-end platform for analysis. Features include: data;

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Data Warehousing in the Real World

Data warehouses are the primary means by which businesses can gain competitive advantage through analyzing and using the information stored;

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Data Warehousing Essentials

A data warehouse (DW) is a system used in computing for data analysis and reporting. It is a core component of business intelligence. It;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Data Mining and Data Warehousing Principles and Practical Techniques

analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big;

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Data Warehousing in Action

Construct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have;

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Analytical Puzzle

as regression analysis, data mining, and statistics to make profitable decisions and anticipate the future Chapter 15: Appreciate the;

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Enterprise Business Intelligence and Data Warehousing

Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and;

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Data Mining

, the book covers the trends, applications, and research frontiers in data mining. Presents a comprehensive new chapter on deep;

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Data Warehousing in the Age of Big Data

, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance;

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Intelligent Data Analysis

This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data;

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Data Warehousing Fundamentals for IT Professionals

, infrastructure, data preparation, and information delivery, but also the most up-to-date research on areas of technological improvements since the first;

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Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011;

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E Governance Data Center, Data Warehousing and Data Mining

Mining * E Governance Data Mining Applications in Various Government Departments, Public Sector, Private Sector * SWOT and PESTLE Analysis for;

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Data Warehousing Strategie

Data Warehousing ist seit einigen Jahren in vielen Branchen ein zentrales Thema. Die anfangliche Euphorie tauschte jedoch daruber hinweg;

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Big Data Analytics and Knowledge Discovery

warehouses; stream processing; applications of big data analysis; and big data.;

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Emerging Perspectives in Big Data Warehousing

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are;

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Big Data Analytics and Knowledge Discovery

This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016;

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Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition;

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Data Science

, techniques and algorithms. * Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. * Part III;

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Advances in Knowledge Discovery and Data Mining

Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully;

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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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Microsoft Data Warehouse Toolkit

Office 2010 release * Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated;

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