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Data Warehousing with Mining Techniques (22621)

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Data Warehousing and Knowledge Discovery

tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.;

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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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Intelligent Data Warehousing

, unites MIS with computer science, and melds intelligent techniques with data warehousing.;

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E Governance Data Center, Data Warehousing and Data Mining

Data Mining benefits which are the future of good governance in India. Strategic Management of these projects through Data Mining would;

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Data Warehousing und Data Mining

behandeln das Schwerpunktthema Data Warehousing und Data Mining. Data Warehousing und OLAP bereiten die Inhalte von Produktionsdatenbanken fur;

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Professional SQL Server 2000 Data Warehousing with Analysis Services

Mining, Web-Enabled Analysis, and Closed Loop Analysis, plus increased speed, scalability and ease of use.;This book covers: data warehousing and;

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Big Data Analytics and Knowledge Discovery

. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Data Science

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;

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Data Mining

presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific;

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Data Mining

presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific;

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Advances on Data Mining: Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA;

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Data Mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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Emerging Perspectives in Big Data Warehousing

explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability;

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Introduction to Data Mining and its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents;

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Data Warehousing Essentials

, catalogued, transformed and used for data mining, market research, decision support and online analytical processing. The ways to analyze or retrieve;

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Data Mining with Microsoft SQL Server 2000 Technical Reference

Server to turn all that data into meaningful information takes time and effort. Data Mining with SQL Server 2000 Technical Reference is the ideal;

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Data Warehousing in the Real World

in their computerized systems. However, the data warehousing market is inundated with confusing, often contradictory, technical information from;

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Advances in Knowledge Discovery and Data Mining

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held;

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Incomplete Data Handling in Medical Informatics

The recent advancement in databases, data mining and data warehousing have promoted edge over technologies to acquire, represent, process;

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Predictive Analytics and Data Mining

anyone who wants to learn Data Mining. You'll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can;

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Customer Relationship Management

brings to fore the role of IT in CRM, e-CRM technologies that facilitate data warehousing and data mining activities, and a host of other issues.;

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Data Management Technologies and Applications

. The papers deal with the following topics: databases, data warehousing, data mining, data management, data security, knowledge and information;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXI

relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids;

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Business Intelligence and Data Warehousing

Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;

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Geographic Data Mining and Knowledge Discovery

first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and;

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