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Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm: Hybrid Genetic and Bacterial Foraging Algorithm - Softcover
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OUTLIER DETECTION USING HYBRID GENETIC AND BACTERIAL FORAGING ALGORITHM: This book gives the overview on outlier and its detection techniques. The Outlier is that data whose specification does not belong to characteristics of dataset or cluster. Dividing objects into meaningful groups of objects or classes (cluster) based on common characteristic play an important role in how people analyses and describe the world. Clustering is the unsupervised learning problem. Better Clustering improves the accuracy of search results and helps to reduce the retrieval time. Present works define various Algorithms such as Genetic Algorithm and Bacterial Foraging Algorithm to find useful data from outliers data. The research work also throws light on various clustering techniques and types of the cluster.
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Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm
Published by
LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10: 6137491641
ISBN 13: 9786137491645
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -OUTLIER DETECTION USING HYBRID GENETIC AND BACTERIAL FORAGING ALGORITHM: This book gives the overview on outlier and its detection techniques. The Outlier is that data whose specification does not belong to characteristics of dataset or cluster. Dividing objects into meaningful groups of objects or classes (cluster) based on common characteristic play an important role in how people analyses and describe the world. Clustering is the unsupervised learning problem. Better Clustering improves the accuracy of search results and helps to reduce the retrieval time. Present works define various Algorithms such as Genetic Algorithm and Bacterial Foraging Algorithm to find useful data from outliers data. The research work also throws light on various clustering techniques and types of the cluster. 56 pp. Englisch. Seller Inventory # 9786137491645
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Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm: Hybrid Genetic and Bacterial Foraging Algorithm
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137491641
ISBN 13: 9786137491645
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Seller Inventory # zk6137491641
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Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137491641
ISBN 13: 9786137491645
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kaur SharnjeetName Sharnjeet Kaur,Department: C.S.E,Univerity: Chandigarh University, Gharaun,City: Kharar, State: Punjab, Pincode:140301,Country:India.OUTLIER DETECTION USING HYBRID GENETIC AND BACTERIAL FORAGING ALGORITHM: This. Seller Inventory # 385846147
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Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm : Hybrid Genetic and Bacterial Foraging Algorithm
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137491641
ISBN 13: 9786137491645
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - OUTLIER DETECTION USING HYBRID GENETIC AND BACTERIAL FORAGING ALGORITHM: This book gives the overview on outlier and its detection techniques. The Outlier is that data whose specification does not belong to characteristics of dataset or cluster. Dividing objects into meaningful groups of objects or classes (cluster) based on common characteristic play an important role in how people analyses and describe the world. Clustering is the unsupervised learning problem. Better Clustering improves the accuracy of search results and helps to reduce the retrieval time. Present works define various Algorithms such as Genetic Algorithm and Bacterial Foraging Algorithm to find useful data from outliers data. The research work also throws light on various clustering techniques and types of the cluster. Seller Inventory # 9786137491645
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Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm
Published by
LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10: 6137491641
ISBN 13: 9786137491645
New
Taschenbuch
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 -OUTLIER DETECTION USING HYBRID GENETIC AND BACTERIAL FORAGING ALGORITHM: This book gives the overview on outlier and its detection techniques. The Outlier is that data whose specification does not belong to characteristics of dataset or cluster. Dividing objects into meaningful groups of objects or classes (cluster) based on common characteristic play an important role in how people analyses and describe the world. Clustering is the unsupervised learning problem. Better Clustering improves the accuracy of search results and helps to reduce the retrieval time. Present works define various Algorithms such as Genetic Algorithm and Bacterial Foraging Algorithm to find useful data from outliers data. The research work also throws light on various clustering techniques and types of the cluster.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786137491645
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Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm | Hybrid Genetic and Bacterial Foraging Algorithm
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137491641
ISBN 13: 9786137491645
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Outlier Detection Using Hybrid Genetic & Bacterial Foraging Algorithm | Hybrid Genetic and Bacterial Foraging Algorithm | Sharnjeet Kaur | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137491645 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 113670603