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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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Uncertainty Handling and Quality Assessment in Data Mining

fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling;

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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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Incomplete Data Handling in Medical Informatics

quality of diagnosis and effectiveness of the treatment. The performance of the data mining algorithms solely depends on the nature and quality;

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Querying And Mining Uncertain Data Streams

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly;

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Querying And Mining Uncertain Data Streams

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly;

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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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Soft-Ware 2002: Computing in an Imperfect World

intelligence, - data analysis in machine learning and data mining, - control management in engineering. The concept of dealing with uncertainty became;

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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 Quality

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

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Utilizing Educational Data Mining Techniques for Improved Learning

intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science;

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Utilizing Educational Data Mining Techniques for Improved Learning

intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science;

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Uncertainty Management in Remote Sensing of Climate Data

key role in supporting many of these advances. Improvements in satellites and in computational and data-handling techniques have yielded high;

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Artificial Intelligence in Medicine

organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and;

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Robust Data Mining

Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples;

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Transactions on Rough Sets XIII

, attribution reduction, decision analysis, risk assessment, and data mining tasks such as classification and clustering. In addition, this volume;

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Data Mining Algorithms

evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst;

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Data Mining

handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery;

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Quantitative Data Analysis for Language Assessment Volume II

assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The;

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Quantitative Data Analysis for Language Assessment Volume II

assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The;

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Data Mining for Global Trends in Mountain Biodiversity

in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva;

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Data Mining for Global Trends in Mountain Biodiversity

in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva;

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