KDRR using FCA 2015 : Knowledge discovery, representation and reasoning using formal concept analysis: Trends, issues and applications
Call For Papers
Advanced Information and Knowledge Processing Series
Call for Book Chapters
Knowledge discovery, representation and reasoning using formal concept analysis: Trends, issues and applications
We are in the process of editing a book entitled “Knowledge discovery, representation and reasoning using formal concept analysis: Trends, issues and applications” for Springer. This edited volume is expected to be published in the series Advanced Information and Knowledge Processing (AI & KP). We are inviting the chapters for this book from potential authors.
Formal concept analysis (FCA) was introduced by German Professor R. Wille in 1980’s. With its roots in lattice and ordered set theories, FCA is providing a mathematical framework for data analysis and knowledge discovery. Since its inception, research efforts in FCA were concentrated on three directions:
i. Theories and developments within FCA
ii. Applications of FCA and
iii. Integrating FCA to other related fields.
During the last three decades, solid mathematical foundations of FCA have attracted scientists to utilize FCA for transforming data into information and finally actionable knowledge. In spite of the research findings available in this field, there are still several underlying issues that are worthy of further investigations. Considering the potential of FCA, this book is intended to serve as a reference collection on the issues, trends and applications of FCA for knowledge representation and reasoning. Whilst providing the in-depth treatment of current research issues and directions, this book will also explain the fundamental aspects of FCA trends such as FCA in fuzzy settings etc. Thus this innovative collection can serve as a basis for learners and a reference for researchers.
Objectives of the book:
• Provides an in-depth analysis on current research, issues and applications of FCA.
• Presents self-contained discussions and rigorous reviews on different flavors of FCA.
• Provides the future research directions and opportunities in FCA.
Recommended topics include, but are not limited to, the following:
1. Formal Concept Analysis – Theories and Foundations
Philosophical foundations; Concept lattices and related structures; FCA and logic; Scalability & complexity issues of FCA algorithms; Approximations and interpretations, Multi lattices; Attribute reduction, constraint analysis; Generalized FCA; Graph representations; Software platforms and tools for FCA.
2. FCA Trends & Enhancements
Logical concept analysis; Relational concept analysis; Triadic FCA & n-Adic FCA; Temporal FCA, Biclustering; Mining uncertain data with FCA, Fuzzy FCA, Rough FCA, Indiscernibility relations, Interval-valued FCA, Handling incomplete data, Granular computing, Possibility view of FCA ; Factor analysis through FCA, etc.
3. FCA based KDD research
Rule mining, classification, mining rules with background knowledge; Knowledge representation, processing, reasoning, reduction; Exploratory data analysis, Mining stream patterns; Mining multi relational data, numerical pattern mining etc.
4. Applications & Methods
Data analysis & decision-making analysis using FCA; FCA for information security, social networks, mining security operations; Software engineering, pattern mining; Semantic web; Ontology engineering, mapping, alignment & integration, similarity measures; Bioinformatics etc; Text mining, information retrieval; Machine learning.
5. Related Disciplines
Description logics; Ontologies; Conceptual graphs etc integrated with FCA.
The target audience of this book will be students, researchers and academics working on the topics mentioned above and their related topics.
Submission of chapter proposal: 30th November 2014
Decision on the chapter proposal: 10th December 2014
Submission of full chapter: 15th March 2015
Reviews on the full chapter: 1st June 2015
Submission of the final version: 1st July 2015.
Authors are invited to submit their chapter proposals (in MS-Word / PDF) though e-mail to firstname.lastname@example.org . The chapter proposal should clearly state the objectives of the chapter in a brief one-page summary along with authors’ details. Authors of the accepted proposals will be provided with detailed guidelines on submission of full chapter. Each chapter will undergo a rigorous and double blind review process in accordance of high standards of Springer.
Dr. Ch. Aswani Kumar
School of Information Technology & Engineering,
VIT University, Vellore,
Dr. Jinhai Li
Faculty of Science,
Kunming University of Science & Technology,
Dr. Gabriela Arevalo
Departamento de Ciencia y Tecnología
Universidad Nacional de Quilmes