Munawar saima (33 Ergebnisse)

Taschenbuch. Zustand: Neu. Detection and Classification Of Normal and Anomaly IP Packet | Network intrusion detection through Neural Network Hybrid Learning with Data Transformation Analysis | Saima Munawar | Taschenbuch | 108 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847373162 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Zustand: Neu. Pedagogical Agent-Based Cognitive Architecture | Intelligent Virtual Laboratory for Smart Learning Environment | Saima Munawar (u. a.) | Taschenbuch | Englisch | 2020 | Scholars' Press | EAN 9786138945178 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: As New. Unread book in perfect condition.

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paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intrusion detection system is a vital part of computer security system commonly used for precaution and detection. It is built for classifier or descriptive or predictive model to proficient classification of normal behavior from abnormal behavior of IP packets. This book presents the solution regarding proper data transformation methods handling and importance of data analysis of complete data set which is apply on hybrid neural network approaches for used to cluster and classify normal and abnormal behavior to improve the accuracy of network based anomaly detection classifier. Because neural network classes only require the numerical form of data but IP connections or packets of network have some symbolic features which are difficult to handle without the proper data transformation analysis. For this reason, it got non redundant new NSL KDD CUP data set. The experimental results show that indicator variable is more effective as compared to the both conditional probabilities and arbitrary assignment method from measurement of accuracy and balance error rate. 108 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intrusion detection system is a vital part of computer security system commonly used for precaution and detection. It is built for classifier or descriptive or predictive model to proficient classification of normal behavior from abnormal behavior of IP packets. This book presents the solution regarding proper data transformation methods handling and importance of data analysis of complete data set which is apply on hybrid neural network approaches for used to cluster and classify normal and abnormal behavior to improve the accuracy of network based anomaly detection classifier. Because neural network classes only require the numerical form of data but IP connections or packets of network have some symbolic features which are difficult to handle without the proper data transformation analysis. For this reason, it got non redundant new NSL KDD CUP data set. The experimental results show that indicator variable is more effective as compared to the both conditional probabilities and arbitrary assignment method from measurement of accuracy and balance error rate.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Intrusion detection system is a vital part of computer security system commonly used for precaution and detection. It is built for classifier or descriptive or predictive model to proficient classification of normal behavior from abnormal behavior of IP packets. This book presents the solution regarding proper data transformation methods handling and importance of data analysis of complete data set which is apply on hybrid neural network approaches for used to cluster and classify normal and abnormal behavior to improve the accuracy of network based anomaly detection classifier. Because neural network classes only require the numerical form of data but IP connections or packets of network have some symbolic features which are difficult to handle without the proper data transformation analysis. For this reason, it got non redundant new NSL KDD CUP data set. The experimental results show that indicator variable is more effective as compared to the both conditional probabilities and arbitrary assignment method from measurement of accuracy and balance error rate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The university's computer laboratory is currently one of the most challenging aspects when imparting practical tasks with regards to education technology (ET) enhancement. This research addresses these problems in the laboratory intending to improve the student's practical skills as well as their investigation-based learning. The challenges associated with planning and developing an intelligent virtual laboratory (IVL). The challenges faced by computer science students while performing the task in the physical laboratory such as those measures are the latest scientific deviations, software problems, curriculum changes, student competency, equipment failure and software inconsistency, lack of communication between expert teachers according to particular course wise. It is needed for practical based courses, through web-based experimentation with the help of artificial intelligence (AI) paradigms to overcome those challenges faced in the physical laboratory and proposed the solution of the IVL. The primary focus was designed on pedagogical agent-based cognitive architecture (PACA) for the virtual laboratory by proposing the unified theory of mind. 320 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Munawar SaimaDr. Saima Munawar has been working as Faculty member in the department of computer science, Virtual University of Pakistan, Lahore. Her research interest includes Artificial Intelligence, and more precisely Fuzzy Control.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The university's computer laboratory is currently one of the most challenging aspects when imparting practical tasks with regards to education technology (ET) enhancement. This research addresses these problems in the laboratory intending to improve the student's practical skills as well as their investigation-based learning. The challenges associated with planning and developing an intelligent virtual laboratory (IVL). The challenges faced by computer science students while performing the task in the physical laboratory such as those measures are the latest scientific deviations, software problems, curriculum changes, student competency, equipment failure and software inconsistency, lack of communication between expert teachers according to particular course wise. It is needed for practical based courses, through web-based experimentation with the help of artificial intelligence (AI) paradigms to overcome those challenges faced in the physical laboratory and proposed the solution of the IVL. The primary focus was designed on pedagogical agent-based cognitive architecture (PACA) for the virtual laboratory by proposing the unified theory of mind.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 320 pp. Englisch.…

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