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Author: C P Agrawal
Publisher: Educreation Publishing
ISBN:
Category : Education
Languages : en
Pages : 124
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Book Description
This book is an endeavor to share the journey of implementing the wonderful applications of Data Mining & Warehousing to Multimedia. Personally we came across this during the process of evaluating new tools to be included in the post graduate study curricula of the University we are working in. Soon it became a friendly affair to see the power, potential and ease of empowering the Multimedia databases with concepts of data mining. It has become powerful in rediscovering the hidden values in data base and soon in data warehouse, equally efficiently. The Data mining is a powerful new technology with great potential focusing on the most important information in their data warehouses. It involves extraction of hidden predictive information from large databases with ease and efficiency. Data Warehouse is a relational database that is designed for query and analysis rather than for transaction processing. The model of applying multimedia mining in different multimedia types due to much higher complexity. The main issues are huge volumes of data that too of variable and heterogeneous multimedia type. It becomes more complicated due to the fact that the multimedia content meaning is subjective. This book covers issues involved in understanding and implementing the Data Mining & Data Warehousing specific to Multimedia contents. Bhopal Meena Agrawal 17-10-2017 C P Agrawal Adesh Pandey
Author: C P Agrawal
Publisher: Educreation Publishing
ISBN:
Category : Education
Languages : en
Pages : 124
Get Book Here
Book Description
This book is an endeavor to share the journey of implementing the wonderful applications of Data Mining & Warehousing to Multimedia. Personally we came across this during the process of evaluating new tools to be included in the post graduate study curricula of the University we are working in. Soon it became a friendly affair to see the power, potential and ease of empowering the Multimedia databases with concepts of data mining. It has become powerful in rediscovering the hidden values in data base and soon in data warehouse, equally efficiently. The Data mining is a powerful new technology with great potential focusing on the most important information in their data warehouses. It involves extraction of hidden predictive information from large databases with ease and efficiency. Data Warehouse is a relational database that is designed for query and analysis rather than for transaction processing. The model of applying multimedia mining in different multimedia types due to much higher complexity. The main issues are huge volumes of data that too of variable and heterogeneous multimedia type. It becomes more complicated due to the fact that the multimedia content meaning is subjective. This book covers issues involved in understanding and implementing the Data Mining & Data Warehousing specific to Multimedia contents. Bhopal Meena Agrawal 17-10-2017 C P Agrawal Adesh Pandey
Author: Rahman, Hakikur
Publisher: IGI Global
ISBN: 1599046598
Category : Technology & Engineering
Languages : en
Pages : 356
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Book Description
Presents an overview of the main issues of data mining, including its classification, regression, clustering, and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.
Author: Amit Sheth
Publisher: Springer Nature
ISBN: 303101894X
Category : Computers
Languages : en
Pages : 159
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Book Description
After the traditional document-centric Web 1.0 and user-generated content focused Web 2.0, Web 3.0 has become a repository of an ever growing variety of Web resources that include data and services associated with enterprises, social networks, sensors, cloud, as well as mobile and other devices that constitute the Internet of Things. These pose unprecedented challenges in terms of heterogeneity (variety), scale (volume), and continuous changes (velocity), as well as present corresponding opportunities if they can be exploited. Just as semantics has played a critical role in dealing with data heterogeneity in the past to provide interoperability and integration, it is playing an even more critical role in dealing with the challenges and helping users and applications exploit all forms of Web 3.0 data. This book presents a unified approach to harness and exploit all forms of contemporary Web resources using the core principles of ability to associate meaning with data through conceptual or domain models and semantic descriptions including annotations, and through advanced semantic techniques for search, integration, and analysis. It discusses the use of Semantic Web standards and techniques when appropriate, but also advocates the use of lighter weight, easier to use, and more scalable options when they are more suitable. The authors' extensive experience spanning research and prototypes to development of operational applications and commercial technologies and products guide the treatment of the material. Table of Contents: Role of Semantics and Metadata / Types and Models of Semantics / Annotation -- Adding Semantics to Data / Semantics for Enterprise Data / Semantics for Services / Semantics for Sensor Data / Semantics for Social Data / Semantics for Cloud Computing / Semantics for Advanced Applications
Author: P. K. Paul
Publisher: CSMFL Publications
ISBN: 8195732208
Category : Computers
Languages : en
Pages : 219
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Book Description
Information Technology is the most significant development in the recent past, and different subfields and technologies have emerged in recent past such as Artificial Intelligence, Cloud Computing, Big data, Internet of Things, Business Analytics, Information Assurance, and Cyber Security, Robotics for sophisticated Business Informatics practice. Such effective Business Informatics is fruitful in sophisticated information and technological services to industries and organizations. Technology is required in various tangible and intangible product and service based organizations, businesses, and enterprises. In managing organizations role of information and content is just perfect not only for elasticity but also for the decision making including. Information Technology and its various subsystems are helpful in collection, selection, organization, processing, management, and dissemination of information and in organizational context role of Business Informatics is just booming. As it is an interdisciplinary and practice based subject impacting organizations of 21st century. This book is specially focused on Business Informatics with reference to the emergence of the latest technologies for promoting and advancing business and corporate sectors. It has discussed various emerging area specific organizational practices viz. Business, Healthcare Industries, Education sector, Aviation and Transportation. This edited volume is suitable for policy makers, decision makers, business and corporate houses as a trend and status report. Book is also going to be a perfect one for the academicians and researchers.
Author: Dr. S. Kalaivani & Dr. K. Saileela
Publisher: Lulu.com
ISBN: 0359572294
Category :
Languages : en
Pages : 482
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Book Description
Author: Song, Min
Publisher: IGI Global
ISBN: 1599049910
Category : Computers
Languages : en
Pages : 901
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Book Description
Examines recent advances and surveys of applications in text and web mining which should be of interest to researchers and end-users alike.
Author: Gupta
Publisher: Excel Books India
ISBN: 9788174466761
Category : Business & Economics
Languages : en
Pages : 400
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Book Description
Papers presented at the Third National IT Conference.
Author: Dimitrios Buhalis
Publisher: Routledge
ISBN: 0750663782
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
"Provides the reader with a comprehensive insight of the changes in the external business environment, and equips them with new managerial techniques and tools in order to adapt and profit from these changes into the future." --Cover.
Author: Venkatesh Ganti
Publisher: Springer Nature
ISBN: 3031018974
Category : Computers
Languages : en
Pages : 69
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Book Description
Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merging data collected independently across different databases. These errors in data warehouses often result in erroneous upstream reports, and could impact business decisions negatively. Therefore, one of the critical challenges while maintaining large data warehouses is that of ensuring the quality of data in the data warehouse remains high. The process of maintaining high data quality is commonly referred to as data cleaning. In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean different solutions in different scenarios. Toward clarifying these goals, we abstract out a common set of data cleaning tasks that often need to be addressed. This abstraction allows us to develop solutions for these common data cleaning tasks. We then discuss a few popular approaches for developing such solutions. In particular, we focus on an operator-centric approach for developing a data cleaning platform. The operator-centric approach involves the development of customizable operators that could be used as building blocks for developing common solutions. This is similar to the approach of relational algebra for query processing. The basic set of operators can be put together to build complex queries. Finally, we discuss the development of custom scripts which leverage the basic data cleaning operators along with relational operators to implement effective solutions for data cleaning tasks.
Author: Jens Teubner
Publisher: Springer Nature
ISBN: 3031018494
Category : Computers
Languages : en
Pages : 104
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Book Description
Roughly a decade ago, power consumption and heat dissipation concerns forced the semiconductor industry to radically change its course, shifting from sequential to parallel computing. Unfortunately, improving performance of applications has now become much more difficult than in the good old days of frequency scaling. This is also affecting databases and data processing applications in general, and has led to the popularity of so-called data appliances—specialized data processing engines, where software and hardware are sold together in a closed box. Field-programmable gate arrays (FPGAs) increasingly play an important role in such systems. FPGAs are attractive because the performance gains of specialized hardware can be significant, while power consumption is much less than that of commodity processors. On the other hand, FPGAs are way more flexible than hard-wired circuits (ASICs) and can be integrated into complex systems in many different ways, e.g., directly in the network for a high-frequency trading application. This book gives an introduction to FPGA technology targeted at a database audience. In the first few chapters, we explain in detail the inner workings of FPGAs. Then we discuss techniques and design patterns that help mapping algorithms to FPGA hardware so that the inherent parallelism of these devices can be leveraged in an optimal way. Finally, the book will illustrate a number of concrete examples that exploit different advantages of FPGAs for data processing. Table of Contents: Preface / Introduction / A Primer in Hardware Design / FPGAs / FPGA Programming Models / Data Stream Processing / Accelerated DB Operators / Secure Data Processing / Conclusions / Bibliography / Authors' Biographies / Index
