
Complex Data Analytics with Formal Concept Analysis
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
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.
More details
Other editions
Additional editions

Persons
Talel Abdessalem is a Professor at Télécom Paris (Institut Polytechnique de Paris). He held the Big Data and Market Insights Chair at Télécom ParisTech from 2013 to 2017. He is heading the Information and Communication (LTCI) research center since 2017 and Dean of Research at Télécom Paris since 2018. His main research achievements are on version control, change detection and querying of XML documents, information extraction from the structured web, and social networks analysis. His current research interests are in recommender systems and predictive analytics. He participated in several national and European research projects. He co-supervised a dozen of Ph. D. students. He received a Ph. D. in Computer Science from the University Paris-Dauphine and a Habilitation degree (HDR) from the University Pierre & Marie Curie. He spent two years as an assistant professor at the University Paris-Dauphine (PSL), before joining Telecom Paris (formerly ENST) in 1998.
Content
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.