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Concept Data Analysis
in their quest for information. Concept Data Analysis: Theory & Applications is the first book that provides a comprehensive treatment of the;
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Concept Lattices and Their Applications
carefully reviewed and selected from 41 submissions. The topics include formal concept analysis, foundations of FCA, mathematical structures related;
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Data Analysis and Approximate Models
. Forgoing any concept of truth, Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression;
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Concept Building in Fisheries Data Analysis
enriches the reader's knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical;
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Data Structures and Algorithms
The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of abstract data types;
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Analysis of Airborne Particles by Physical Methods
effects of dust. This synoptic approach, which is known as SISintegrated dust analysis is the underlying concept of this book.;
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The Art and Science of Analyzing Software Data
The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from;
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Practical Business Statistics
on a histogram to the readers. The book further throws light on the concept of variability and data and the use of probability in the;
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Analyzing Qualitative Data with MAXQDA
. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group;
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Analyzing Qualitative Data with MAXQDA
. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group;
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Data Science and Its Applications
information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations;
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Knowledge Processing and Data Analysis
areas: applications of conceptual structures; concept based software; ontologies as conceptual structures; and data analysis.;
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Data Analysis With Msoft Access 2010
you read the book. The author also broadens the concept of data analysis to encompass business intelligence (BI) topics, including valuable;
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Formal Concept Analysis
This book constitutes the proceedings of the 15th International Conference on Formal Concept Analysis, ICFCA 2019, held in Frankfurt am;
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Data Mining Concept Animation Library
, I start to create a collection of graphical and interactive implementation of data mining algorithms, called Data Mining Concept Animation;
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Biostatistics and Computer-based Analysis of Health Data using R
Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed;
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Ranking and Prioritization for Multi-Indicator Systems
of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods;
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Ranking and Prioritization for Multi-indicator Systems
of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods;
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Data Uncertainty and Important Measures
The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling;
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Formal Concept Analysis
The discipline of formal concept analysis (FCA) is concerned with the form- ization of concepts and conceptual thinking. Built on the solid;
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Formal Concept Analysis
This book constitutes the refereed proceedings of the 11th International Conference on Formal Concept Analysis, ICFCA 2013, held in Dresden;
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Surface Area and Porosity Determinations by Physisorption
, increased data on physical adsorption-including data on monolayers, and the important concept of the critical pressure for adsorption initiation;
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Applied Categorical and Count Data Analysis
statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model;
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R for Data Science Cookbook
to apply useful data analysis techniques in R for real-world applications * An easy-to-follow guide to make the life of data scientist;
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Fuzzy Transforms for Image Processing and Data Analysis
This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;
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Fuzzy Transforms for Image Processing and Data Analysis
This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;
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