Web Service Mining

Web Service Mining PDF Author: George Zheng
Publisher: Springer Science & Business Media
ISBN: 1441965394
Category : Computers
Languages : en
Pages : 147

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Book Description
The new computing environment enabled by advances in service oriented arc- tectures, mashups, and cloud computing will consist of service spaces comprising data, applications, infrastructure resources distributed over the Web. This envir- ment embraces a holistic paradigm in which users, services, and resources establish on-demand interactions, possibly in real-time, to realise useful experiences. Such interactions obtain relevant services that are targeted to the time and place of the user requesting the service and to the device used to access it. The bene?t of such environment originates from the added value generated by the possible interactions in a large scale rather than by the capabilities of its individual components se- rately. This offers tremendous automation opportunities in a variety of application domains including execution of forecasting, of?ce tasks, travel support, intelligent information gathering and analysis, environment monitoring, healthcare, e-business, community based systems, e-science and e-government. A key feature of this environment is the ability to dynamically compose services to realise user tasks. While recent advances in service discovery, composition and Semantic Web technologies contribute necessary ?rst steps to facilitate this task, the bene?ts of composition are still limited to take advantages of large-scale ubiq- tous environments. The main stream composition techniques and technologies rely on human understanding and manual programming to compose and aggregate s- vices. Recent advances improve composition by leveraging search technologies and ?ow-based composition languages as in mashups and process-centric service c- position.

Web Service Mining

Web Service Mining PDF Author: George Zheng
Publisher: Springer Science & Business Media
ISBN: 1441965394
Category : Computers
Languages : en
Pages : 147

Get Book Here

Book Description
The new computing environment enabled by advances in service oriented arc- tectures, mashups, and cloud computing will consist of service spaces comprising data, applications, infrastructure resources distributed over the Web. This envir- ment embraces a holistic paradigm in which users, services, and resources establish on-demand interactions, possibly in real-time, to realise useful experiences. Such interactions obtain relevant services that are targeted to the time and place of the user requesting the service and to the device used to access it. The bene?t of such environment originates from the added value generated by the possible interactions in a large scale rather than by the capabilities of its individual components se- rately. This offers tremendous automation opportunities in a variety of application domains including execution of forecasting, of?ce tasks, travel support, intelligent information gathering and analysis, environment monitoring, healthcare, e-business, community based systems, e-science and e-government. A key feature of this environment is the ability to dynamically compose services to realise user tasks. While recent advances in service discovery, composition and Semantic Web technologies contribute necessary ?rst steps to facilitate this task, the bene?ts of composition are still limited to take advantages of large-scale ubiq- tous environments. The main stream composition techniques and technologies rely on human understanding and manual programming to compose and aggregate s- vices. Recent advances improve composition by leveraging search technologies and ?ow-based composition languages as in mashups and process-centric service c- position.

Mining Google Web Services

Mining Google Web Services PDF Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 078215106X
Category : Computers
Languages : en
Pages : 382

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Book Description
Google Brings Data Mining to the People! Virtually everyone sees Google as, hands down, the best online search tool. Now you can use and improve on Google technology in your own applications. Mining Google Web Services teaches you dozens of techniques for tapping the power of the Google API. Google already gives you fine-grained control over your search criteria, and this book shows you how to exert the same control in your own focused search and analysis applications. With just a little knowledge of JavaScript, VBA, Visual Studio 6, Visual Studio .NET, PHP, or Java, you will get better (and more relevant) search results--faster and more easily. Here's a little of what you'll find covered inside: Improving the speed and accuracy of searches Performing data mining across the Internet Using Google Web Services to search a single website Building search applications for mobile devices Using caching techniques to improve application performance and reliability Analyzing Google data Creating searches for users with special needs Discovering new uses for Google Obtaining historical data using cached pages Performing spelling checks on any text Reducing the number of false search hits Whether your goal is to improve your own searches or share specialized search capabilities with others, this is the one resource that will see you through the job from start to finish.

Mining the Web

Mining the Web PDF Author: Soumen Chakrabarti
Publisher: Morgan Kaufmann
ISBN: 1558607544
Category : Computers
Languages : en
Pages : 366

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Book Description
The definitive book on mining the Web from the preeminent authority.

Mining the World Wide Web

Mining the World Wide Web PDF Author: George Chang
Publisher: Springer Science & Business Media
ISBN: 9780792373490
Category : Computers
Languages : en
Pages : 192

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Book Description
Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.

Web Mining

Web Mining PDF Author: Anthony Scime
Publisher: IGI Global
ISBN: 9781591404149
Category : Computers
Languages : en
Pages : 454

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Book Description
Web Mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web Mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Web sites, as well as the design and application of search agents. This book presents research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results.

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism PDF Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 0203499514
Category : Business & Economics
Languages : en
Pages : 542

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Book Description
The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta

Data Mining the Web

Data Mining the Web PDF Author: Zdravko Markov
Publisher: John Wiley & Sons
ISBN: 0470108088
Category : Computers
Languages : en
Pages : 236

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Book Description
This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).

Web Usage Mining Techniques and Applications Across Industries

Web Usage Mining Techniques and Applications Across Industries PDF Author: Kumar, A.V. Senthil
Publisher: IGI Global
ISBN: 1522506144
Category : Computers
Languages : en
Pages : 448

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Book Description
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.

Intelligent Interactive Multimedia Systems and Services 2016

Intelligent Interactive Multimedia Systems and Services 2016 PDF Author: Giuseppe De Pietro
Publisher: Springer
ISBN: 3319393456
Category : Technology & Engineering
Languages : en
Pages : 725

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Book Description
This book contains the contributions presented at the ninth international KES conference on Intelligent Interactive Multimedia: Systems and Services, which took place in Puerto de la Cruz, Tenerife, Spain, June 15-17, 2016. It contains 65 peer-reviewed book chapters that focus on issues ranging from intelligent image or video storage, retrieval, transmission and analysis to knowledge-based technologies, from advanced information technology architectures for video processing and transmission to advanced functionalities of information and knowledge-based services. We believe that this book will serve as a useful source of knowledge for both academia and industry, for all those faculty members, research scientists, scholars, Ph.D. students and practitioners, who are interested in fundamental and applied facets of intelligent interactive multimedia.

Web Data Mining

Web Data Mining PDF Author: Bing Liu
Publisher: Springer Science & Business Media
ISBN: 3642194605
Category : Computers
Languages : en
Pages : 637

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Book Description
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.