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KDRR using FCA 2015 : Knowledge discovery, representation and reasoning using formal concept analysis: Trends, issues and applications | |||||||||||||||||
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Call For Papers | |||||||||||||||||
Springer
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. Introduction: 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. Target Audience: The target audience of this book will be students, researchers and academics working on the topics mentioned above and their related topics. Important Dates: 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. Submission Procedure Authors are invited to submit their chapter proposals (in MS-Word / PDF) though e-mail to fcaspringer@gmail.com . 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. Editors: Dr. Ch. Aswani Kumar School of Information Technology & Engineering, VIT University, Vellore, India. E-mail: cherukuri@acm.org Dr. Jinhai Li Faculty of Science, Kunming University of Science & Technology, China. E-mail: jhlixjtu@163.com Dr. Gabriela Arevalo Departamento de Ciencia y Tecnología Universidad Nacional de Quilmes Argentina E-mail: gabriela.b.arevalo@gmail.com |
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