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Evolution of the Web in Artificial Intelligence Environments (Studies in Computational Intelligence, 130, Band 130) - Hardcover

 
9783540791393: Evolution of the Web in Artificial Intelligence Environments (Studies in Computational Intelligence, 130, Band 130)
Hardcover
ISBN 10: 3540791396 ISBN 13: 9783540791393
Verlag: Springer, 2008

Inhaltsangabe

The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. The Web has evolved into a publishing medium, global electronic market and increasingly, a platform for conducting electronic commerce. A part of this success can be attributed to the tremendous advances made in the Artificial Intelligence field. The popularity of the Web has opened many opportunities to develop smart Web-based systems using artificial intelligence techniques. There exist numerous Web technology and applications that can benefit with the application of artificial intelligence techniques. It is not possible to cover them all in one book with a required degree of quality, depth and width. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services. The primary readers of this book are undergraduate/postgraduate students, researchers and practitioners in information technology and computer science related areas. The success of this book is largely due to the collective efforts of a great team consisting of authors and reviewers. We are grateful to them for their vision and wonderful support. The final quality of selected papers reflects their efforts. Finally we would like to thank the Queensland University of Technology, Brisbane Australia and University of South Australia, Adelaide Australia for providing us the resources and time to undertake this task. We extend our sincere thanks to Scientific Publishing Services Pvt. Ltd., for the editorial support.

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Über die Autorin bzw. den Autor

Richi Nayak is a Professor at the School of Computer Science and Leader of the Complex Data Analysis Program at the Centre of Data Science at Queensland University of Technology, Brisbane Australia. She has gained international recognition for her expertise in machine learning, data mining and text mining. Her research has resulted in significant advancements in clustering, deep neural networks, social media mining, recommender systems, multi-view learning and tensor/matrix factorization. She is highly passionate about addressing societal issues by applying her machine learning and AI innovation and fundamental research. She regularly consults with private, public and government agencies on various machine learning projects, many of which have been commercialised. Her research contributions have led to novel solutions for problems in Digital Marketing, K-12 Education, Digital Agriculture and Digital Humanities. She has authored more than 250 high-quality refereed publications that have been cited over 4000 citations, with an h-index of 33.  She has been recognized for her research leadership with several best paper awards and nominations at international conferences, QUT Postgraduate Research Supervision awards, and the 2016 Women in Technology (WiT) Infotech Outstanding Achievement Award in Australia. She also serves as a Steering committee member of the Australasian Data Mining and Machine Learning Conference and as the editorial chief of the International Journal of Data Mining and Digital Humanities. She holds a PhD in Computer Science from the Queensland University of Technology and a Masters in Engineering from the Indian Institute of Technology Roorkee, India. Khanh Luong obtained her PhD in Computer Science specializing in Data Science from Queensland University of Technology (QUT) in 2019. Afterwards, she worked as a Postdoctoral Researcher in Data Science at the QUT Centre for Data Science, where her research focused on addressing the challenges of dealing with multiple aspect data. Her research has made significant contributions to the fields of machine learning and data mining by developing innovative methods ready to be deployed on real-world datasets, ranging from text, image, sound, video, and bioinformatics data. Her methods apply to diverse problems, such as clustering, classification, anomaly detection, community discovery, and collaborative filtering, with a novel multi-aspect outlook. She has an impressive track record as an active member of the Organizing Committee of the Australasian Data Mining Conference for several years. Additionally, she has established herself as a highly regarded reviewer for several top-tier journals, including IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Knowledge Discovery from Data (TKDD), IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), IEEE Transactions on Audio, Speech and Language Processing (TASLP), and Information Sciences. Recently joining Charles Sturt University as a research fellow, she is currently working on Cyber Security projects and collaborating with Data61 to develop practical approaches for detecting and reacting to attacks using various data sources.

Von der hinteren Coverseite

The phenomenal growth of the Web has resulted in the development of many smart Web applications using artificial intelligence techniques. These applications range from access of information to automatic tasks on the Web. The material in this book is designed to be drawn from different Web application areas so as to provide an overview of important contributions in the development of the Web applications. These are mainly in the areas of Web personalisation, semantic Web and Web services.

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Verlag
Springer
Erscheinungsdatum
2008
Sprache
Englisch
ISBN 10 
3540791396
ISBN 13 
9783540791393
Einband
Gebundene Ausgabe
Anzahl der Seiten
290
Herausgeber
Nayak Richi, Ichalkaranje N.
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar