Complex Data Analytics with Formal Concept Analysis
Title | Complex Data Analytics with Formal Concept Analysis PDF eBook |
Author | Rokia Missaoui |
Publisher | Springer Nature |
Pages | 277 |
Release | 2022-06-29 |
Genre | Computers |
ISBN | 3030932788 |
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.
Conceptual Knowledge Structures
Title | Conceptual Knowledge Structures PDF eBook |
Author | Inma P. Cabrera |
Publisher | Springer Nature |
Pages | 342 |
Release | |
Genre | |
ISBN | 3031678680 |
Recent Developments in Machine Learning and Data Analytics
Title | Recent Developments in Machine Learning and Data Analytics PDF eBook |
Author | Jugal Kalita |
Publisher | Springer |
Pages | 525 |
Release | 2018-09-11 |
Genre | Technology & Engineering |
ISBN | 981131280X |
This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.
Intelligent Systems Design and Applications
Title | Intelligent Systems Design and Applications PDF eBook |
Author | Ajith Abraham |
Publisher | Springer |
Pages | 1158 |
Release | 2019-04-11 |
Genre | Technology & Engineering |
ISBN | 3030166570 |
This book highlights recent research on Intelligent Systems and Nature Inspired Computing. It presents 212 selected papers from the 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) and the 10th World Congress on Nature and Biologically Inspired Computing (NaBIC), which was held at VIT University, India. ISDA-NaBIC 2018 was a premier conference in the field of Computational Intelligence and brought together researchers, engineers and practitioners whose work involved intelligent systems and their applications in industry and the “real world.” Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Formal Concept Analysis
Title | Formal Concept Analysis PDF eBook |
Author | Florent Domenach |
Publisher | Springer |
Pages | 319 |
Release | 2012-06-25 |
Genre | Computers |
ISBN | 3642298923 |
This book constitutes the refereed proceedings of the 10th International Conference on Formal Concept Analysis, ICFCA 2012, held in Leuven, Belgium in May 2012. The 20 revised full papers presented together with 6 invited talks were carefully reviewed and selected from 68 submissions. The topics covered in this volume range from recent advances in machine learning and data mining; mining terrorist networks and revealing criminals; concept-based process mining; to scalability issues in FCA and rough sets.
Big Data in Complex Systems
Title | Big Data in Complex Systems PDF eBook |
Author | Aboul Ella Hassanien |
Publisher | Springer |
Pages | 502 |
Release | 2015-01-02 |
Genre | Technology & Engineering |
ISBN | 331911056X |
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
Concept Data Analysis
Title | Concept Data Analysis PDF eBook |
Author | Claudio Carpineto |
Publisher | John Wiley & Sons |
Pages | 220 |
Release | 2004-10-22 |
Genre | Computers |
ISBN | 0470011289 |
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.