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Querying And Mining Uncertain Data Streams

growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams;

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Querying And Mining Uncertain Data Streams

growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams;

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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 Analytics

, data mining and knowledge discovery, graph data and knowledge graphs, intelligent data analysis, approximate and flexible querying, data;

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Data Mining And Uncertain Reasoning

throughout to illustrate important concepts. Data Mining and Uncertain Reasoning is a practical reference for practitioners in various interrelated;

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Database Systems for Advanced Applications

selected from a total of 287 submissions. The papers cover the following topics: data mining; data streams and time series; database storage and;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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Foundations of Computational Intelligence 06

Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden;

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Advances in Data and Web Management

Conference on Web-Age Information Management, WAIM 2007, held in Huang Shan, China, June 2007. Coverage includes data mining and knowledge discovery;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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Database Systems for Advanced Applications

. The papers are organized in topical sections on uncertain data and ranking, sensor networks, graphs, RFID and data streams, skyline and rising;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional and;

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Mobility Data Management and Exploration

and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are;

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New Frontiers in Mining Complex Patterns

developments in the analysis of complex and massive data sources, such as blogs, event or log data, medical data, spatio-temporal data, social networks;

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Database and Expert Systems Applications

; uncertain data and inconsistency tolerance; database system architecture; data mining, query processing and optimization; indexing and decision;

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Database and Expert Systems Applications

; uncertain data and inconsistency tolerance; database system architecture; data mining, query processing and optimization; indexing and decision;

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New Frontiers in Mining Complex Patterns

were carefully reviewed and selected from numerous submissions. They illustrate advanced data mining techniques which preserve the informative;

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Flexible Query Answering Systems

of big data. They are organized in the following topical sections: flexible database management and querying; ontologies and knowledge bases;

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Web and Big Data

and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data;

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Web and Big Data

and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data;

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Data Streams

branches of Computer Science including databases, networking, knowledge discovery and data mining, and hardware systems. Industry is in synch too;

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Outlier Detection for Temporal Data

including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there;

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New Frontiers in Mining Complex Patterns

were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on data streams and time series;

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Data Mining with SPSS Modeler

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and;

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