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Ali Inas (17 results)
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Odyssey Of Her Heart
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 14.05
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Alobaidi, Ghada (illustrator). In.
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STRATEGIC LEADERSHIP: REALIZING STUDENT ASPIRATION OUTCOMES
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 26.12
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Add to basketCondition: New. In.
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Condition: New. Alobaidi, Ghada (illustrator).
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Odyssey Of Her Heart
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPAP. Condition: New. Alobaidi, Ghada (illustrator). New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Strategic Leadership Practices As Determinants For Peak Education: Leadership Concepts and Model for Educational Achievement
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659928658 ISBN 13: 9783659928659
US$ 75.00
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Add to basketPaperback. Condition: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock.
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A Model To Detetct DOS Using Data Mining Classification Algorithms
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659697176 ISBN 13: 9783659697173
Taschenbuch. Condition: Neu. A Model To Detetct DOS Using Data Mining Classification Algorithms | Inas Ali (u. a.) | Taschenbuch | 132 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659697173 | 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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STRATEGIC LEADERSHIP REALIZING STUDENT ASPIRATION OUTCOMES
Language: English
Published by Partridge Publishing Singapore, 2018
ISBN 10: 1543747809 ISBN 13: 9781543747805
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Strategic Leadership Practices As Determinants For Peak Education: Leadership Concepts and Model for Educational Achievement
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659928658 ISBN 13: 9783659928659
US$ 153.90
US$ 33.35 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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STRATEGIC LEADERSHIP REALIZING STUDENT ASPIRATION OUTCOMES
Language: English
Published by Partridge Publishing Singapore, 2018
ISBN 10: 1543747809 ISBN 13: 9781543747805
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 26.04
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Print on Demand pp. 180.
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Condition: New. Print on Demand pp. 180.
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Condition: New. PRINT ON DEMAND pp. 180.
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Strategic Leadership Practices As Determinants For Peak Education
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659928658 ISBN 13: 9783659928659
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bin Mohd Ali HairuddinProfessor Hairuddin Mohd Ali is a lecturer and Educational Leadership consultant at IIUM in Malaysia. Dr. Inas Zulkifli is a consultant in Leadership and Management. Assistant Professor Dr. Lasisi Abass Ayodele .
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A Model To Detetct DOS Using Data Mining Classification Algorithms
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2015, 2015
ISBN 10: 3659697176 ISBN 13: 9783659697173
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work proposes an Intrusion Detection Model (IDM) for detection of intrusion attempts caused by worms. The proposal is a hybrid IDM since it considers features of both network packets and host that are sensitive to worms. The proposed HybD (Hybrid Dataset) dataset, which is composed of the 10% KDD'99 (Knowledge Discovery in Databases) dataset features and the suggested host-based features, is used to build and test the proposed model. Both of misuse and anomaly detection approaches are used. The hybrid IDM has been designed using Data Mining (DM) methods that for their ability to detect new intrusions accurately and automatically, also it can process large amount of data, and it is more likely to discover the ignored and hidden information. Interactive Dichotomizer 3 classifier (ID3) and Naïve Bayesian Classifier (NB) are used to build and verify the validity of the proposed model in term of classifier accuracy. The results of implementing the proposed model show that accuracy of NB classifier is generally higher than that of ID3 classifier with the four sets of features. 132 pp. Englisch.
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A Model To Detetct DOS Using Data Mining Classification Algorithms
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659697176 ISBN 13: 9783659697173
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali InasThis book written by Inas Ali who is an assistance lecturer at Computer Science Department in Baghdad University. She has got BcS degree in computer science from Baghdad University in 2003, and the Master degree in computer .
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A Model To Detetct DOS Using Data Mining Classification Algorithms
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2015, 2015
ISBN 10: 3659697176 ISBN 13: 9783659697173
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work proposes an Intrusion Detection Model (IDM) for detection of intrusion attempts caused by worms. The proposal is a hybrid IDM since it considers features of both network packets and host that are sensitive to worms. The proposed HybD (Hybrid Dataset) dataset, which is composed of the 10% KDD'99 (Knowledge Discovery in Databases) dataset features and the suggested host-based features, is used to build and test the proposed model. Both of misuse and anomaly detection approaches are used. The hybrid IDM has been designed using Data Mining (DM) methods that for their ability to detect new intrusions accurately and automatically, also it can process large amount of data, and it is more likely to discover the ignored and hidden information. Interactive Dichotomizer 3 classifier (ID3) and Naïve Bayesian Classifier (NB) are used to build and verify the validity of the proposed model in term of classifier accuracy. The results of implementing the proposed model show that accuracy of NB classifier is generally higher than that of ID3 classifier with the four sets of features.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.
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A Model To Detetct DOS Using Data Mining Classification Algorithms
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659697176 ISBN 13: 9783659697173
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work proposes an Intrusion Detection Model (IDM) for detection of intrusion attempts caused by worms. The proposal is a hybrid IDM since it considers features of both network packets and host that are sensitive to worms. The proposed HybD (Hybrid Dataset) dataset, which is composed of the 10% KDD'99 (Knowledge Discovery in Databases) dataset features and the suggested host-based features, is used to build and test the proposed model. Both of misuse and anomaly detection approaches are used. The hybrid IDM has been designed using Data Mining (DM) methods that for their ability to detect new intrusions accurately and automatically, also it can process large amount of data, and it is more likely to discover the ignored and hidden information. Interactive Dichotomizer 3 classifier (ID3) and Naïve Bayesian Classifier (NB) are used to build and verify the validity of the proposed model in term of classifier accuracy. The results of implementing the proposed model show that accuracy of NB classifier is generally higher than that of ID3 classifier with the four sets of features.
