Complex Data Analytics with Formal Concept Analysis -
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Présentation Complex Data Analytics With Formal Concept Analysis Format Broché
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Biographie:
Rokia Missaoui obtained her Ph.D. in Computer Science from the University of Montreal in 1988 and has been a university professor in Canada for more than thirty years. She is currently a full professor in the Department of Computer Science and Engineering at the University of Quebec in Outaouais (UQO). Before joining UQO in 2002, she was a professor at the University of Quebec in Montreal (UQAM) for fifteen years. She leads the LARIM laboratory at UQO and is a member of the LATECE laboratory at UQAM. Since the beginning of her career, she has been involved in several research projects funded by granting agencies and industrial partners. Her research interests and teaching activities are currently focused on advanced databases, data mining and warehousing, machine learning, social network analysis and big data analytics.
Sommaire:
Chapter. 1.- Formal Concept Analysis and Extensions for Complex Data Analytics.- Chapter. 2.- Conceptual Navigation in Large Knowledge Graphs.- Chapter. 3.- FCA2VEC: Embedding Techniques for Formal Concept Analysis.- Chapter. 4.- Analysis of Complex and Heterogeneous Data using FCA and Monadic Predicates.- Chapter. 5.- Dealing with Large Volumes of Complex Relational Data using RCA.- Chapter. 6.- Computing Dependencies using FCA.- Chapter. 7.- Leveraging Closed Patterns and Formal Concept Analysis for Enhanced Microblogs Retrieval.- Chapter. 8.- Scalable Visual Analytics in FCA.- Chapter. 9.- Formal methods in FCA and Big Data.- Chapter. 10.- Towards Distributivity in FCA for Phylogenetic Data.- Chapter. 11.- Triclustering in Big Data Setting.