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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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Advances in Geo-Spatial Information Science

and time, spatial analysis, uncertainty modeling and geo-visualization), and new scientific and technological research initiatives for geo;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial;

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

and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern;

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Querying And Mining Uncertain Data Streams

. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential;

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Querying And Mining Uncertain Data Streams

. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential;

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Conceptual Modeling

, schema discovery and evolution, process and text mining, domain-based modeling, data models and semantics, and applications of conceptual;

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Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving;

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Regression Modeling Strategies

based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve ''safe data mining''.;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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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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Uncertainty Modelling and Quality Control for Spatial Data

settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals;

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Uncertainty Modelling and Quality Control for Spatial Data

settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals;

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Biomechanics of the Musculoskeletal System

The topic of this book is the modeling of data uncertainty and knowledge for a health engineering problem such as the biomechanics of the;

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Soft Computing for Knowledge Discovery and Data Mining

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It;

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Foundations of Intelligent Systems

opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science;

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Advances in Artificial Intelligence

, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Surface Models for Geosciences

modeling, continuous field modeling and other geoscience applications. The conference covers the following topics: - LIDAR for elevation data;

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Financial Decision Making Using Computational Intelligence

. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data;

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Computational Medicine in Data Mining and Modeling

further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets;

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Essential Tools for Water Resources Analysis, Planning, and Management

data analysis, data mining, remote sensing, geographical information system, game theory, conflict resolution, System dynamics, agent-based;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining;

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