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Quality Aspects in Spatial Data Mining

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing;

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Quality Aspects in Spatial Data Mining

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing;

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Uncertainty Modelling and Quality Control for Spatial Data

aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book;

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Uncertainty Modelling and Quality Control for Spatial Data

aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book;

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Spatial Data Handling in Big Data Era

computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge;

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Spatial Data Mining

edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science;

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Spatial Data Handling in Big Data Era

computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge;

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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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Spatial Data Quality: From Process to Decisions

Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) - from the assessment of data;

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Advanced Data Mining and Applications

algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics;

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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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Geostatistics for Compositional Data with R

This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions;

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Foundations of Intelligent Systems

informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining;

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Web and Big Data

Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval;

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Web and Big Data

Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval;

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Preference-based Spatial Co-location Pattern Mining

The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous;

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Spatial Data Quality

quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an;

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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

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications;

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Data Mining

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications;

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Advances in Data Mining. Applications and Theoretical Aspects

This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de;

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Data Mining

Thorough in its coverage from basic to advanced topics, this book presents the key algorithms and techniques used in data mining. An;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

analyses, uncertainty modeling for spatial data to spatial models, and error description of spatial data to spatial data quality control;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

analyses, uncertainty modeling for spatial data to spatial models, and error description of spatial data to spatial data quality control;

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Advances in Data and Web Management

, P2P systems, sensor networks, spatial and temporal databases, Web mining, XML and semi-structured data, privacy and security, as well as data;

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Advances in Geo-Spatial Information Science

-spatial information science (such as spatial data mining, mobile data modeling, and location-based services). The book contains selected and;

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