Towards Extensible and Adaptable Methods in Computing.

Chakraverty, Shampa; et al. (Eds.)

ISBN 10: 981132347X / ISBN 13: 9789811323478

Published by Singapore, Springer., 2018

About this Item

XIX, 407 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Seller Inventory # 7262IB

Bibliographic Details

• Title: Towards Extensible and Adaptable Methods in Computing.
• Publisher: Singapore, Springer.
• Publication Date: 2018
• Language: English
• ISBN 10: 981132347X
• ISBN 13: 9789811323478
• Binding: Hardcover
• Seller catalogs:
  • Informatik

About this title

Synopsis

This book addresses extensible and adaptable computing, a broad range of methods and techniques used to systematically tackle the future growth of systems and respond proactively and seamlessly to change. The book is divided into five main sections: Agile Software Development, Data Management, Web Intelligence, Machine Learning and Computing in Education. These sub-domains of computing work together in mutually complementary ways to build systems and applications that scale well, and which can successfully meet the demands of changing times and contexts. The topics under each track have been carefully selected to highlight certain qualitative aspects of applications and systems, such as scalability, flexibility, integration, efficiency and context awareness.

The first section (Agile Software Development) includes six contributions that address related issues, including risk management, test case prioritization and tools, open source software reliability and predicting the change proneness of software. The second section (Data Management) includes discussions on myriad issues, such as extending database caches using solid-state devices, efficient data transmission, healthcare applications and data security. In turn, the third section (Machine Learning) gathers papers that investigate ML algorithms and present their specific applications such as portfolio optimization, disruption classification and outlier detection. The fourth section (Web Intelligence) covers emerging applications such as metaphor detection, language identification and sentiment analysis, and brings to the fore web security issues such as fraud detection and trust/reputation systems. In closing, the fifth section (Computing in Education) focuses on various aspects of computer-aided pedagogical methods.

About the Author

Dr. Shampa Chakraverty is a Professor at the Computer Engineering Division of Netaji Subhas Institute of Technology, New Delhi. She completed her B.E. in Electronics and Communication Engineering at Delhi University, her M.Tech. in Integrated Electronics and Circuits at the IIT Delhi, and her PhD at Delhi University.

Her research interests include sentiment, emotion and human language analysis, E-learning and engineering pedagogy, computer security – trust and digital watermarking, and design exploration of multiprocessor architectures.

Dr. Anil Goel is the Vice President of Engineering at SAP Canada, where he is also head of global development for a number of products and technologies related to SAP’s HANA Platform. He earned a Ph.D. (CS) from the University of Waterloo, Canada, and an M.Tech. (CS) from the IIT Delhi.

Dr. Sanjay Misra is a Professor of Computer (Software) Engineering at Covenant University (CU), Nigeria. He received hisM.E. in Software Engineering and his Ph.D. in Information Engineering from the University of Alcala, Spain.

His research interests are in information engineering, software engineering, web engineering, software quality assurance, software process improvement, cloud computing and cyber security.