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Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their;

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

Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009), which was held from August 31 to S- tember 2, 2009 in Linz, Austria. Second, it;

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

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and;

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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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Big Data Analytics and Knowledge Discovery

This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015;

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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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Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were;

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Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were;

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Big Data Analytics and Knowledge Discovery

This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held;

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Advances in Knowledge Discovery and Data Mining

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and;

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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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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19;

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Enterprise Business Intelligence and Data Warehousing

data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book;

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Intelligent Data Analysis for Biomedical Applications

, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides;

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Database and Expert Systems Applications

carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data;

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Database and Expert Systems Applications

were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data;

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New Trends in Data Warehousing and Data Analysis

anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many;

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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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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Data Mining

, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data;

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