Integrated Online Analytical Mining (OLAM): An Architecture for Enhanced Visualization and Targeted Analysis

 
9783659130861: Integrated Online Analytical Mining (OLAM): An Architecture for Enhanced Visualization and Targeted Analysis

Data mining techniques have been applied in decision support systems in order to detect patterns and to mine knowledge from large datasets. These mining techniques can be used together with OLAP to analyze large datasets which can make Online Analytical Processing (OLAP) more useful and easier to apply in decision support systems. Several works in the past proved the likelihood and interest of integrating OLAP with data mining and as a result a new promising direction of Online Analytical Mining (OLAM) has emerged. In this book, a variety of OLAM architectures in the literature were reviewed and the limitations in the previously reported work have been identified. Literature review reveals the fact that none of the previously reported OLAM architectures have integrated enhanced OLAP with data mining. We enhanced the performance of OLAP in terms of cube construction time and visualization by providing interactive visual exploration of data cube. The aim of this book is to propose an integrated OLAM architecture that not only overcomes the existing limitations but also extends the architecture by adding an automation layer for OLAP schema generation.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

About the Author :

Muhammad Usman is a PhD candidate at Auckland University of Technology, New Zealand. He is currently researching in the novel methods and techniques for the seamless integration of Data Mining and Data Warehousing technologies. He has published in international journals as well as conferecnes in the area of Data mining, Data Warehousing and OLAP.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Usman, Muhammad
ISBN 10 : 3659130869 ISBN 13 : 9783659130861
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Description du livre État : New. Publisher/Verlag: LAP Lambert Academic Publishing | An Architecture for Enhanced Visualization and Targeted Analysis | Data mining techniques have been applied in decision support systems in order to detect patterns and to mine knowledge from large datasets. These mining techniques can be used together with OLAP to analyze large datasets which can make Online Analytical Processing (OLAP) more useful and easier to apply in decision support systems. Several works in the past proved the likelihood and interest of integrating OLAP with data mining and as a result a new promising direction of Online Analytical Mining (OLAM) has emerged. In this book, a variety of OLAM architectures in the literature were reviewed and the limitations in the previously reported work have been identified. Literature review reveals the fact that none of the previously reported OLAM architectures have integrated enhanced OLAP with data mining. We enhanced the performance of OLAP in terms of cube construction time and visualization by providing interactive visual exploration of data cube. The aim of this book is to propose an integrated OLAM architecture that not only overcomes the existing limitations but also extends the architecture by adding an automation layer for OLAP schema generation. | Format: Paperback | Language/Sprache: english | 120 pp. N° de réf. du libraire K9783659130861

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Muhammad Usman
Edité par LAP Lambert Academic Publishing Mai 2012 (2012)
ISBN 10 : 3659130869 ISBN 13 : 9783659130861
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Description du livre LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. État : Neu. Neuware - Data mining techniques have been applied in decision support systems in order to detect patterns and to mine knowledge from large datasets. These mining techniques can be used together with OLAP to analyze large datasets which can make Online Analytical Processing (OLAP) more useful and easier to apply in decision support systems. Several works in the past proved the likelihood and interest of integrating OLAP with data mining and as a result a new promising direction of Online Analytical Mining (OLAM) has emerged. In this book, a variety of OLAM architectures in the literature were reviewed and the limitations in the previously reported work have been identified. Literature review reveals the fact that none of the previously reported OLAM architectures have integrated enhanced OLAP with data mining. We enhanced the performance of OLAP in terms of cube construction time and visualization by providing interactive visual exploration of data cube. The aim of this book is to propose an integrated OLAM architecture that not only overcomes the existing limitations but also extends the architecture by adding an automation layer for OLAP schema generation. 120 pp. Englisch. N° de réf. du libraire 9783659130861

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Muhammad Usman
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ISBN 10 : 3659130869 ISBN 13 : 9783659130861
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Description du livre LAP Lambert Academic Publishing Mai 2012, 2012. Taschenbuch. État : Neu. Neuware - Data mining techniques have been applied in decision support systems in order to detect patterns and to mine knowledge from large datasets. These mining techniques can be used together with OLAP to analyze large datasets which can make Online Analytical Processing (OLAP) more useful and easier to apply in decision support systems. Several works in the past proved the likelihood and interest of integrating OLAP with data mining and as a result a new promising direction of Online Analytical Mining (OLAM) has emerged. In this book, a variety of OLAM architectures in the literature were reviewed and the limitations in the previously reported work have been identified. Literature review reveals the fact that none of the previously reported OLAM architectures have integrated enhanced OLAP with data mining. We enhanced the performance of OLAP in terms of cube construction time and visualization by providing interactive visual exploration of data cube. The aim of this book is to propose an integrated OLAM architecture that not only overcomes the existing limitations but also extends the architecture by adding an automation layer for OLAP schema generation. 120 pp. Englisch. N° de réf. du libraire 9783659130861

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Muhammad Usman
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ISBN 10 : 3659130869 ISBN 13 : 9783659130861
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Description du livre LAP Lambert Academic Publishing, 2012. Paperback. État : New. Aufl.. Language: English . Brand New Book. Data mining techniques have been applied in decision support systems in order to detect patterns and to mine knowledge from large datasets. These mining techniques can be used together with OLAP to analyze large datasets which can make Online Analytical Processing (OLAP) more useful and easier to apply in decision support systems. Several works in the past proved the likelihood and interest of integrating OLAP with data mining and as a result a new promising direction of Online Analytical Mining (OLAM) has emerged. In this book, a variety of OLAM architectures in the literature were reviewed and the limitations in the previously reported work have been identified. Literature review reveals the fact that none of the previously reported OLAM architectures have integrated enhanced OLAP with data mining. We enhanced the performance of OLAP in terms of cube construction time and visualization by providing interactive visual exploration of data cube. The aim of this book is to propose an integrated OLAM architecture that not only overcomes the existing limitations but also extends the architecture by adding an automation layer for OLAP schema generation. N° de réf. du libraire KNV9783659130861

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