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Book Title: Intelligent Systems in Big Data , Semantic Web and Machine Learning

Publisher: SPRINGER,

Editors:

• Prof. Noreddine Gherabi , USMS, National School of Applied Sciences, Morocco

• Prof. Janusz Kacprzyk, Polish Academy of Sciences, Systems Research Institute, Poland

With the advancements of artificial intelligence , machine learning has become the crucial mechanism for representing data in varied domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span.

Machine Learning is an artificial intelligence technology that allows computers to learn without having been explicitly programmed for this purpose. To learn and develop, computers need data to analyze and train on. In fact, Big Data is the motor of Machine Learning, and it's the technology that unlocks the full potential of Big Data.

Machine Learning is very effective in situations where insights need to be discovered from large, diverse and changing data sets, that is, Big Data. For the analysis of such data, it proves to be much more efficient than traditional methods in terms of accuracy and speed. For example, based on information associated with a transaction such as the amount and location, and on historical and social data, Machine Learning can detect potential fraud in a millisecond. Thus, this method is significantly more efficient than traditional methods for analyzing transactional data, data from social networks or CRM platforms.

The current web standard does not support Semantic Web technology. Information retrieval is fundamentally based on keyword-matching approaches. The fact that individuals use diverse terms to denote the same object presents a significant challenge in various domains.

Many systems based on these semantic web techniques and technologies operate daily. For example, when you surf the web, you are probably "profiled" by one of these systems, when you contact customer service, you are probably referred by one of them who is enriched by your interactions . However, these techniques and technologies do not yet pass the ladder of Big Data.

This book is an attempt to highlight the main advances in artificial intelligence techniques, in particular the semantics applied in machine learning and big data. The different chapters attempt to discover the current challenges in the application of information retrieval techniques based on artificial intelligence. The book will be a first of its kind which will highlight only the mechanisms and techniques of information retrieval, storage, indexing focused on machine learning, semantic web and big data. The book can serve as a potential handbook for artificial intelligence technologies. It can also serve as a reference work for practitioners and researchers involved in the implementation and supply of solutions based on artificial intelligence

All manuscript submissions to the special issue should be sent through the online submission system:

INDEXING:

Publisher will submit the book Springer indexed by Scopus.

Contact :

Prof. Noreddine Gherabi,

National School of Applied Science of Khouribga (ENSAKh), Morocco

Emails

n.gherabi@usms.ma

gherabi@gmail.com

Contact No:+212-668448477