okba kazar (14 risultati)

Softcover. Condizione: Très bon. Ancien livre de bibliothèque avec équipements. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Ammareal gives back up to 15% of this item's net price to charity organizations.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Condizione: Neuf.

Paperback. Condizione: Brand New. 758 pages. French language. 9.45x6.30x1.10 inches. In Stock.

Taschenbuch. Condizione: Neu. Big Data Security | Okba Kazar (u. a.) | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139935352 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Broché. Condizione: Bon. ( IN FRENCH - EN FRANÇAIS ) 757 pages; Ouvrage dans lequel les auteurs exposent les bases indispensables de l'intelligence artificielle au travers de 5 démarches clairement identifiées: FONCTIONNELLE, illustrée par le langage Scheme; LOGIQUE, illustrée par la progammation en Prolog; OBJET, qui assure la gestion de masses de connaissances par l'exploitation de classifications; GRAMMATICALE, qui traite des rapports entre forme et abstraction et ouvre sur le traitement des langues naturelles comme sur la modélisation de certains systèmes dynamiques et enfin ACTEURS/AGENTS, qui concerne une approche distribuée des activités intelligentes dombinant délégation, coopérations, compétitions et négociations. ----------- Broché. Couverture un peu éraflée. Coins légèrement écornés. Livre propre, sans marques à l'intérieur et solide. Bon état. Size: 8vo. Livre.

Condizione: Bon. Attention: Ancien support de bibliothèque, plastifié, étiquettes. Merci, votre achat aide à financer des programmes de lutte contre l'illettrisme.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big Data attract a lot of researchers because of the techniques and approaches that it offers for treating huge volumes of information circulating on the Internet. The objective of this work is to study of the problem security in Big Data. We present some of the methods and techniques used in Big Data security which exist in reality, and based on the criteria that we find in those work we proposed an approach based on the multi-agent system (SMA) to protect the safety of the information in Big Data. In this approach we used seven agent, and they are divided as follows: four for external security independent from Hadoop, and three for internal security. Our approach treat the problems of integrity, authentication, privacy and access control, intrusion detection. To To give some significant results, we used conventional tools of information systems (MySql, NoSql.etc) as well as new tools for handling large volumes of data such as Hadoop, biservice-ce, and Pentaho etc. 84 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kazar OkbaProf. Okba Kazar (1962 Biskra, Algeria)Director of the Smart computer science laboratory (LINFI). He got his PhD degree from Constantine university 2005, on computer sciences and artificial intelligence and its his main res.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Big Data attract a lot of researchers because of the techniques and approaches that it offers for treating huge volumes of information circulating on the Internet. The objective of this work is to study of the problem security in Big Data. We present some of the methods and techniques used in Big Data security which exist in reality, and based on the criteria that we find in those work we proposed an approach based on the multi-agent system (SMA) to protect the safety of the information in Big Data. In this approach we used seven agent, and they are divided as follows: four for external security independent from Hadoop, and three for internal security. Our approach treat the problems of integrity, authentication, privacy and access control, intrusion detection. To To give some significant results, we used conventional tools of information systems (MySql, NoSql.etc) as well as new tools for handling large volumes of data such as Hadoop, biservice-ce, and Pentaho etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big Data attract a lot of researchers because of the techniques and approaches that it offers for treating huge volumes of information circulating on the Internet. The objective of this work is to study of the problem security in Big Data. We present some of the methods and techniques used in Big Data security which exist in reality, and based on the criteria that we find in those work we proposed an approach based on the multi-agent system (SMA) to protect the safety of the information in Big Data. In this approach we used seven agent, and they are divided as follows: four for external security independent from Hadoop, and three for internal security. Our approach treat the problems of integrity, authentication, privacy and access control, intrusion detection. To To give some significant results, we used conventional tools of information systems (MySql, NoSql.etc) as well as new tools for handling large volumes of data such as Hadoop, biservice-ce, and Pentaho etc.