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Concept Data Analysis


Concept Data Analysis
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Concept Data Analysis


Concept Data Analysis
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Author : Claudio Carpineto
language : en
Publisher: John Wiley & Sons
Release Date : 2004-10-22

Concept Data Analysis written by Claudio Carpineto and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-22 with Computers categories.


With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data Analysis: Theory & Applications is the first book that provides a comprehensive treatment of the full range of algorithms available for conceptual data analysis, spanning creation, maintenance, display and manipulation of concept lattices. The accompanying website allows you to gain a greater understanding of the principles covered in the book through actively working on the topics discussed. The three main areas explored are interactive mining of documents or collections of documents (including Web documents), automatic text ranking, and rule mining from structured data. The potentials of conceptual data analysis in the application areas being considered are further illustrated by two detailed case studies. Concept Data Analysis: Theory & Applications is essential for researchers active in information processing and management and industry practitioners who are interested in creating a commercial product for conceptual data analysis or developing content management applications.



Data Analytics


Data Analytics
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Author : Mohiuddin Ahmed
language : en
Publisher: CRC Press
Release Date : 2018-09-21

Data Analytics written by Mohiuddin Ahmed and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-21 with Computers categories.


Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.



Complex Data Analytics With Formal Concept Analysis


Complex Data Analytics With Formal Concept Analysis
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Author : Rokia Missaoui
language : en
Publisher: Springer Nature
Release Date : 2022-06-29

Complex Data Analytics With Formal Concept Analysis written by Rokia Missaoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-29 with Computers categories.


FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining. Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge. This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.



Things To Know About Data Analysis


Things To Know About Data Analysis
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Author : Patrick Richeson
language : en
Publisher:
Release Date : 2021-03-29

Things To Know About Data Analysis written by Patrick Richeson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-29 with categories.


As the process of analyzing raw data to find trends and answer questions, the definition of data analysis captures the wide range of the field. Whether you are a beginner or an experienced person, mastering your data analysis skills is always a challenge. You want to learn about data analysis but can't find a book with the right computer concept distribution, Or you are trying to improve your data analysis skills but want interesting examples taste with them? This book here is for you Here are some key features of this book. -Emphasis on practical examples and how the advanced techniques described in the chapters can be used in real-life to improve clarity and understanding. -Various topics such as sophisticated algorithms or even the Euclidean Square Estimate are approached in a way that the reader can understand the very basics of it and then be introduced to the technical jargon. -This ensures that the reader does not get lost in all of the mathematical and statistical words. -Efficient demonstration of almost every practical topic with the use of Python so that the readers can recreate the projects by themselves. If you're interested in taking a journey through the realms of advanced data analytic, this book is very suitable for you. Buy it right now



Core Concepts In Data Analysis Summarization Correlation And Visualization


Core Concepts In Data Analysis Summarization Correlation And Visualization
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Author : Boris Mirkin
language : en
Publisher: Springer
Release Date : 2011-04-07

Core Concepts In Data Analysis Summarization Correlation And Visualization written by Boris Mirkin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-07 with Computers categories.


Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called “formulation” parts, whereas most material is delivered through “presentation” parts that explain the methods by applying them to small real-world data sets; concise “computation” parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions.



Data Analysis And Information Systems


Data Analysis And Information Systems
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Author : Hans-Hermann Bock
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-07

Data Analysis And Information Systems written by Hans-Hermann Bock and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-07 with Business & Economics categories.


This volume presents 45 articles dealing with theoretical aspects, methodo logical advances and practical applications in domains relating to classifica tion and clustering, statistical and computational data analysis, conceptual or terminological approaches for information systems, and knowledge struc tures for databases. These articles were selected from about 140 papers presented at the 19th Annual Conference of the Gesellschaft fur Klassifika tion, the German Classification Society. The conference was hosted by W. Polasek at the Institute of Statistics and Econometry of the University of 1 Basel (Switzerland) March 8-10, 1995 . The papers are grouped as follows, where the number in parentheses is the number of papers in the chapter. 1. Classification and clustering (8) 2. Uncertainty and fuzziness (5) 3. Methods of data analysis and applications (7) 4. Statistical models and methods (4) 5. Bayesian learning (5) 6. Conceptual classification, knowledge ordering and information systems (12) 7. Linguistics and dialectometry (4). These chapters are interrelated in many respects. The reader may recogni ze, for example, the analogies and distinctions existing among classification principles developed in such different domains as statistics and information sciences, the benefit to be gained by the comparison of conceptual and ma thematical approaches for structuring data and knowledge, and, finally, the wealth of practical applications described in many of the papers. For convenience of the reader, the content of this volume is briefly reviewed.



Core Concepts In Data Analysis Summarization Correlation And Visualization


Core Concepts In Data Analysis Summarization Correlation And Visualization
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Author : Boris Mirkin
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-05

Core Concepts In Data Analysis Summarization Correlation And Visualization written by Boris Mirkin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-05 with Computers categories.


Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called “formulation” parts, whereas most material is delivered through “presentation” parts that explain the methods by applying them to small real-world data sets; concise “computation” parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions.



Program Evaluation


Program Evaluation
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Author : Margaret E. Gredler
language : en
Publisher: Prentice Hall
Release Date : 1996

Program Evaluation written by Margaret E. Gredler and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Education categories.


May be used by education professionals and decision-makers who are responsible for implementing new programs and innovations in education. Presents a practical, real-world framework for education program evaluation that addresses current methods, important decisions, planning tasks, and ethical issues that face the evaluator. Presents the major steps of planning and conducting an evaluation sequentially through the book. Contains an entire chapter containing the latest information on qualitative inquiry and its applications to evaluation. Includes comprehensive individual chapters on performance and portfolio assessment.



Software Engineering Methods And Techniques


Software Engineering Methods And Techniques
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Author : J. Blank
language : en
Publisher: Wiley-Interscience
Release Date : 1983

Software Engineering Methods And Techniques written by J. Blank and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Computers categories.


Evaluation of methods and techniques for the analysis, design and implementation of information systems; analysis/synthesis; description per method; evaluation matrix; conclusions and recommendations; references; glossary; comparison of terminology.



Data Analysis Data Modeling And Classification


Data Analysis Data Modeling And Classification
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Author : Martin E. Modell
language : en
Publisher: McGraw-Hill Companies
Release Date : 1992

Data Analysis Data Modeling And Classification written by Martin E. Modell and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.


From a widely published, international expert in both the theory and practical applications of the entity-relationship approach, this reference takes the reader from data entity analysis at the enterprise level through data element analysis and physical design considerations.