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Modeling Audio Data for Multi-criteria Query Formulation

, its low-level representation, its meta-data information, and its timing information. Thus, it facilitates a multi-criteria query formulation;

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The Multi-Criteria Approach for Decision Support

-objective optimization. The book is intended as a tool for understanding the multi-criteria tools for decision support and modeling in mathematical;

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The Multi-Criteria Approach for Decision Support

-objective optimization. The book is intended as a tool for understanding the multi-criteria tools for decision support and modeling in mathematical;

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Evaluation of MPEG-7 Query Applications

In this book, the interface and functions of audio and visual multimedia query applications which are based on MPEG-7 standard have been;

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Modeling, Assessment, and Optimization of Energy Systems

optimization with application to energy systems is provided, along with decision-making tools for multi-objective problems, multi-criteria problems;

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep;

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Spatial Data Management

support spatial data. It presents indexing approaches for spatial data, with a focus on the R-tree. Query evaluation and optimization techniques;

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Modeling Open Space Acquisition in Boulder, Colorado

local policymakers to identify ecologically rich parcels that can be targeted by using a multi-criteria model. Each parcel in the study area;

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Advanced Data Management

practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open;

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Oracle DBA Guide to Data Warehousing and Star Schemas

warehousing in general for the Oracle database environment. This book is based on research conducted for the multi-terabyte data warehouse for the 7;

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Deep Web Query Interface Understanding and Integration

introduce the state-of-the-art techniques for extracting, understanding, and integrating the query interfaces of deep Web data sources. These;

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Deep Web Query Interface Understanding and Integration

introduce the state-of-the-art techniques for extracting, understanding, and integrating the query interfaces of deep Web data sources. These;

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Principles of Database Query Processing for Advanced Applications

query processing and optimization techniques for structured and unstructured data, written with the non-expert in mind, with a minimum;

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Music Query

analysis of musical data. Among these, methods for the synchronization of sound and symbolic data, for automatic analysis through perceptual rules;

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Modeling Methods and Practices in Soil and Water Engineering

water balance model and a HYDRUS-2D model for cropped fields, a multi-model approach for stream flow simulation, multi-criteria analysis for;

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Multi Criteria Analysis in the Renewable Energy Industry

therefore, policy formulation for fossil fuel substitution by Renewable Energies must be addressed in a multi-criteria context. Multi Criteria;

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Model and Data Engineering

reuse; event-B and modeling languages; context modeling and model transformation; data mining; query processing; modeling activities and;

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Conceptual Modeling

modeling and analysis, query approaches, big data technology II, domain specific models I, domain specific models II, decision making, complex;

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Query Processing over Uncertain Databases

applications. However, query processing techniques for deterministic data cannot be directly applied to uncertain data because they do not have;

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Reliability and Risk Modeling of Engineering Systems

effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems;

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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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Query Optimization

The Query Optimization for Data Warehouse Applications book provides novel solutions to support real time data and overcome query latency;

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Statistical Regression Modeling with R

regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;

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Statistical Regression Modeling with R

regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;

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Entity-Relationship Approach - ER '93

object-oriented models, query languages, applications of the ER model, knowledge-based modeling, data modeling, schema integration, reuse and;

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Graph Databases

Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and;

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